Stellar Tech https://www.stellartechinc.com/blog Software Development Blogs | Software Outsourcing Wed, 09 Aug 2017 06:45:24 +0000 en-US hourly 1 https://wordpress.org/?v=4.4 3D Touch is a New Generation of Gestures https://www.stellartechinc.com/blog/3d-touch-is-a-new-generation-of-gestures/ https://www.stellartechinc.com/blog/3d-touch-is-a-new-generation-of-gestures/#respond Mon, 24 Jul 2017 08:32:12 +0000 http://www.stellartechinc.com/blog/?p=1159 Gestures to perform actions like to wake up device or to open camera or to ON the flashlight amazed touch screen device users. Though gestures eased the actions, but they were limited to particular in-built applications only. What if, you can read the message without opening the app or can view the animated lock screen wallpaper? Apple with 3D Touch surprised users with system-level gestures where actions can be performed sensing hard or soft taps. Beyond tap or pinch gestures, 3D Touch caters something fascinating, where users can press app icon and access immediate actions provided, can view recent or...

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Gestures to perform actions like to wake up device or to open camera or to ON the flashlight amazed touch screen device users. Though gestures eased the actions, but they were limited to particular in-built applications only. What if, you can read the message without opening the app or can view the animated lock screen wallpaper? Apple with 3D Touch surprised users with system-level gestures where actions can be performed sensing hard or soft taps.

iphone

Beyond tap or pinch gestures, 3D Touch caters something fascinating, where users can press app icon and access immediate actions provided, can view recent or frequents in widget or press notifications and perform quick functionalities of it or press brief views to get detail preview. 3D Touch, an extension dimension of Multi touch accelerated access to ios applications.

Even though, 3D Touch is implemented in individual iPhone app development, it is not just the software based. Flabbergast? Have a brief look how 3D Touch is also hardware-based execution and not just software-based.

Tech appended for 3D Touch

With other hardware improvements like Apple A9 chip with embedded M9 motion coprocessor, 12MP rear-facing iSight camera, second-generation Touch ID in iPhones 6S and iPhone 6S plus, Apple also showcased major transfiguration in screen – making phone compatible to 3D Touch technology.

The transfiguration is adding up 4-layered sensitive display which responds based on the type of touch – Light, Medium and Firm. Four layers, based on their response system-level application developed reverts, incorporates –

glass

 

  • Retina HD Display with 3D Touch: It helps in detecting the finger pressure applied by the user.Retina HD display on backlight is attached with the capacitive pressure sensors.
  • Capacitive Pressure Sensors:When cover glass is pressed,sensors measures the pressure from the space between cover glass and backlight,accordingly it will respond back.
  • Taptic Engine:For elegant haptic feedback engine,Taptic Engine is used.It is capable enough to precisely respond to each measure of pressures on the screen.

 

Subject to such changes in hardware, 3D Touch technology is executed in iOS App Development. Apps are upgraded accordingly to make it compatible to 3D Touch.

Implementing 3D Touch in iPhone App Development

iOS 9 or later supports 3D Touch. To start implementing 3D Touch, it is necessary to download Xcode projects namely – ApplicationShortcuts, ViewControllerPreviews and TouchCanvas. 3D Touch comes with three categories – Home screen Quick Actions, Peek and Pop and Pressure and Intensity Sensitivity

Home Screen Quick Actions

Tap an app icon on Home screen and access static or dynamic quick actions. UIApplicationShortcutItems array is used to define static or dynamic quick action in iPhone application development Info.plist file.

app

Dynamic quick actions come up with additional shortcuts in app's shared UIApplication, so add it in shortcutItems property. Define dynamic quick actions using UIApplicationShortcutItem, UIMutableApplicationShortcutItem, and UIApplicationShortcutIcon classes.

Peek and Pop

To support view and preview, iOS 9 SDK includes support in UIViewController class. registerForPreviewing(with:sourceView) method registers the view controller to participate in 3D Touch preview (peek) and commit (pop) behaviors. UIViewControllerPreviewing Protocol Reference justifies interface for 3D Touch-enabled view controller. UIViewControllerPreviewingDelegate Protocol Reference is used to define peek and if screen is hard pressed, it shows preview of the view. Below is mentioned the demo snippet for peek and pop actions.

let contactName = "Robert Garero"
        var icon: UIApplicationShortcutIcon? = nil
        self.requestForAccess { (true) in
            let predicate = CNContact.predicateForContacts(matchingName: contactName)
            let contacts = try? CNContactStore().unifiedContacts(matching: predicate, keysToFetch: [])
            if let contact = contacts?.first {
                icon = UIApplicationShortcutIcon(contact: contact)
            }
        }

        let type = "com.company.app.sendChatTo"
        let subtitle = "Send a chat"
        let shortcutItem1 = UIApplicationShortcutItem(type: type, localizedTitle: contactName, localizedSubtitle: subtitle, icon: icon, userInfo: nil)
        
        let shortcutitems = [shortcutItem1]
        UIApplication.shared.shortcutItems = shortcutitems

app2

The messages previewed are not marked as read. Also, if arrow is available at the top – means additional power shortcuts like reply, save or add to read later are available. Even like or dislike can be done and replies or comment can also be mentioned.

Pressure and Intensity Sensitivity

UITouch class's properties force and maximumPossibleForce are used to detect the touch pressure and accordingly, the app responds. iPhone app developers use this class for performing touch effective event like dragging icon or keyboard text selection or tapping a link or image and adding to read later list.

All above this, 3D Touch accessibility is optional for a user. User can disable 3D Touch. User can also set 3D Touch sensitivity from Light, Medium and Firm.

3D Touch indeed came up with a revolution in mobile app development. Right from built-in apps to social media apps and image editing apps have adopted this technique in their iPhone applications. 3D Touch refined the basic features and let users have quick access to the apps.

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DevOps accelerates Integration & Delivery https://www.stellartechinc.com/blog/devops-accelerates-integration-delivery/ https://www.stellartechinc.com/blog/devops-accelerates-integration-delivery/#respond Fri, 07 Jul 2017 08:05:08 +0000 http://www.stellartechinc.com/blog/?p=1142 Consolidation of agile, continuous integration and delivery, excellent collaboration and stronger integration all together define “DevOps” methodology. DevOps basically breaks the barriers between software development team and operation team as it is an isolation of automated processes. Overcoming the stumbling block of Agile and Waterfall software development model, DevOps emerged as a boon for Software Development Company, with the help of its – build, test and release became faster, efficient and reliable. DevOps extensive automated features let IT teams provide higher values and standards to businesses of any fields and end users with swift booming updates and services.    ...

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Consolidation of agile, continuous integration and delivery, excellent collaboration and stronger integration all together define “DevOps” methodology. DevOps basically breaks the barriers between software development team and operation team as it is an isolation of automated processes.

Overcoming the stumbling block of Agile and Waterfall software development model, DevOps emerged as a boon for Software Development Company, with the help of its – build, test and release became faster, efficient and reliable. DevOps extensive automated features let IT teams provide higher values and standards to businesses of any fields and end users with swift booming updates and services.  

 

Dev-ops

Right from software integration, testing, to deployment is automated in DevOps. It mainly focuses to create an environment where software development, project management, and operations specialists can communicate and collaborate mutually for building, testing and releasing software.

Till 2016, about 74% of enterprises and Software Development Company adopted DevOps methodology for development, management and delivery of any application. Day-by-day DevOps embracing digits are escalating. Have a look on set of DevOps practices.

DevOps Core Practices

  • Continuous Integration

In continuous integration, developer conglomerate their code upgradation into central repository and then automated builds and tests are run. Key intentions are to discover and address bugs faster, enhance software quality, and lessen the time in validation and instant new updates.

  • Continuous Delivery      

Continuous delivery, interconnected to continuous integration, is a process where code upgradations are automatically built, tested and fixed for production release. If bugs are found while testing, bugs are notified. After complete continuous delivery – by implementing standardized test process, software developers get a build ready for deployment.

  • Microservices

Microservices is similar to HTTP based API (Application Programming Interface). Microservices, a lightweight mechanism, is scoped for a single purpose or a group of services or functionality which is implemented and deployed independently without any major changes in existing solution.

  • Infrastructure as Code

Infrastructure as code can be used remotely by both – developers and system administrators. The servers and infrastructure can be deployed quickly along with latest patches and versions. As codified with the cloud, infrastructure can be tracked, validated and reconfigured automatically.

  • Monitoring & Logging

Monitoring and logging are captured, categorized and analyzed for viewing the impact of changes or updates on product's end users. Alerts, logs and real-time monitoring help in proactively keeping an eye on insights of issues.

  • Communication & Collaboration

DevOps tools cater sharing facility and chat facility, where developer and operation time can instantly communicate and discuss issues or track the system. Also, it let all the working resources are closely aligned on the project.

Stages of DevOps with ToolChain

DevOps is a continuous process where after monitoring, with new update again work starts from Plan immediately. Below is mentioned the toolchain of the DevOps ecosystem – combination of the tools used by Developers and Operation administrators, along with the well-known tools for each stages.  

 

Dev-ops-feature

PLAN.

Unification of IT personnel is involved in plan stage to discuss about requirements, release metrics, business case, security policies, production metrics, gather information about business verticals and feedbacks. Notable solutions that aid Plan are JIRA, HipChat, Slack, Confluence, iRise.

CODE.

Composing the build, designing the software, coding and configuring with quality performance are all covered in Code stage. Solution providers are Microsoft Visual Studio, Bitbucket, GitHub, Electric Cloud, SVN, Eclipse.

BUILD.

Build stage covers up with the continuous integration practice. In this stage, developers upload their code to the repository where the code is automatically integrated. Distinguished tools include Grunt, Microsoft Visual Studio, Maven, Gradle.

TEST.

Verifying performance and vulnerability, performing acceptance, regression and configuration testing to examine the performance of the product, services and activities are designed as per the requirement. Tools used for testing or verification are NUnit, Munit, Telerik, Runscope, Blazemeter, jMeter, Selenium, Webdriver.

RELEASE.

Activities covered in Release are triggering release, release coordination, release staging and holding, scheduling releases, fallbacks and recoveries. Solutions include AWS, Azure (cloud), Jenkins, Docker containers, Puppet, BMC Software. All the solutions come with the functionality of automated release, deployment and release.

DEPLOY.

Deploy is the stage where the build is placed in production and is further tested by project team. After it passes through each test, it is confirmed that targeted requirement is accomplished appropriately. With continuous integration, software developers can also do continuous deployment of a chunk of updates. Solutions include AWS, TFS.

OPERATE.

Deployment is not the end, operate/ configure is the important stage then after for support and maintenance. Operate activities includes configuring, network provisioning, infrastructure storage and much more. Tools included are Splunk, New Relic, Ansible, Chef, Salt, Otter.

MONITOR.

In this stage, Software Development Company monitors specific issues after releases and its impact on end-users. It also includes production metrics and statistics. It helps in new release cycles and plans activities. Solutions are BigPanda, Ganglia, New Relic, Wireshark.

Conclusion

In perspective of developers and operations team, DevOps is a set of principles and practices which are followed by both teams together to provide instant updates to the client along with high-quality delivery. It renders competitive advantages like the time to market is lessened and faster and efficient end-to-end delivery with agility towards change and automated advanced processes and tools.

 

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Java 8 Features – Unleashed https://www.stellartechinc.com/blog/java-8-features-unleashed/ https://www.stellartechinc.com/blog/java-8-features-unleashed/#respond Fri, 09 Jun 2017 09:38:41 +0000 http://www.stellartechinc.com/blog/?p=1124 Java is the programming language used by millions of developers and numerous for their business solutions. With the Java 8 release, Java contributed in support for functional programming, enhancement of JavaScript engine, outstanding APIs for date time manipulation, new streaming API, etc. There are dozens of notable and valuable features in Java 8, but the most significant features are discussed. Out of all features, some are very talked about (booming) amongst developers, while few are not talked about (quiet) features. Booming Java 8 Features Lambda Expressions As per Java developer's perspective, Lambda expression is one of the significant add-on features...

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Java is the programming language used by millions of developers and numerous for their business solutions. With the Java 8 release, Java contributed in support for functional programming, enhancement of JavaScript engine, outstanding APIs for date time manipulation, new streaming API, etc. There are dozens of notable and valuable features in Java 8, but the most significant features are discussed. Java 8 Features – Unleashed Out of all features, some are very talked about (booming) amongst developers, while few are not talked about (quiet) features.

Booming Java 8 Features

  1. Lambda Expressions
  2. As per Java developer's perspective, Lambda expression is one of the significant add-on features to the language. This extended feature brought Java App Development to the forefront of functional programming, just like other functional JVM-based languages – Scala and Clojure. A lambda expression is a function used to create delegates or expression tree types. Using lambda expressions, developers can code local functions which can be passed as arguments or returned as the value of function calls as lambdas are integrated in core language libraries.  Below example shows snippet of with and without lambda expressions. It mainly represents the difference in function calling ways

    //without lambda, Drawable implementation using anonymous class 
    Drawable d=new Drawable(){ 
    public void draw(){System.out.println("Drawing"+width);} 
    }
    
    
    //with lambda 
    Drawable d2=()->{  
    System.out.println("Drawing"+width); 
    };
    
    
  3. Concurrent Accumulators
  4. In Java based solutions, it is a very common scenario to use numeric counters which are accessed by multiple threads. In earlier Java versions it was difficult to modify the counter values. Java 8 resolved this issue with its concurrent accumulator classes, where the value can be increased/ decreased effectively in a thread safe method. Some concurrent API enhancements are mentioned as follows:

    • ConcurrentHashMap – compute(), forEach(), forEachEntry(), forEachKey(), forEachValue(), merge(), reduce() and search() methods.
    • CompletableFuture – that may be explicitly completed (setting its value and status).
    • Executors newWorkStealingPool() – method to create a work-stealing thread pool using all available processors as its target parallelism level.
  5. New Date/ Time API
  6. Current native Java library API is complex to implement and execute, so Joda time is a boon for Java developers in such situation. But, with coming of Java 8, the pain is cured as Java 8 came up with its own new Data/Time API under java.time package. New API is designed keeping simplicity in mind and it is easily readable to human and machine time formats. i.e. Simplified and Specialized date/ time API for local and zonal time zones respectively.

  7. Stream API
  8. A stream, a new abstract layer, provides a set of elements of a particular type in a consecutive manner. A stream executes element on demand, it never stores the elements. Alike SQL statements, data can be processed in a declarative way by using stream also. It is similar to an iterator which allows a single run over a collection. It is the best feature for developers who work on Collections and Big Data. Running of streams can be either sequential (stream () method) or parallel (parallelstream() method). Parallel enhances power of multiple cores.

  9. Nashorn
  10. Nashorn is a JavaScript engine which enables developer to run the script on a JVM. Compare to Rhino, its performance is 2 to 10 times better as it uses invoke dynamic feature. It is also suitable for Node.js applications along with supporting actual Java libraries to be called by the JavaScript code executing on a server. JAVA 8 introduces a new command line tool, jjs, to run JavaScript codes at console.

Quiet Java 8 Features

  1. Parallel Sorting
  2. Just as to speed up counting, Concurrent Accumulator is utilized, to speed up sorting, Parallel Sorting is adapted. It automatically splits the collection into several parts and sorts them independently based on cores and grouped them back. Arrays.parallelSort(myArray); is used for parallel sorting.

  3. Commanding OS Processes
  4. Java 8 came up with 3 new features in Process class which helps for controlling OS processes:

    • destroyForcibly – finishes a process with a higher degree of success
    • isAlive – indicates if a process originated by code is alive or not.
    • waitFor() – specifies the waiting time for a process to finish.
  5. Stamped Locks
  6. Java 8 advances ReadWriteLock (implemented by ReentrantReadWriteLock) with boosting speed called StampedLock. It has an "optimistic" mode that arises a stamp that is returned by each locking operation to assist as a kind of admission ticket; each unlock operation requires to pass its correlating stamp. The process results in faster execution. In situation where readers are more than writers, use StampedLock to improvise performance.

  7. Secure Random Generation
  8. Java 8 added up a new method called SecureRandom.getInstanceStrong() to enhance security. It let JVM choose a secure provider. For several years, security was one of the discussed issues of JVM, but with Java 8 feature it is reduces the risk of attack.

  9. Null Reference Template
  10. Null Pointers being an older pattern, Java 8 introduced a new template – Optional. Similar to the concept of Scala and Haskell, this template is to explicitly state when either reference is passed to or return by function can be null. This template increases convenience and decreases the time of execution.

Java 8 – A platform for business innovation

Business apps develop using Java 8 development are faster and easily navigating with extended features. IoT (Internet of Things), an emerging technology nowadays, is also supported in Java 8. Apart from this, it also provides business leveraging peculiarities like more productivity, less time-consuming code, modernized apps, supporting embedded technology and much more. All above this, it is integrated with JavaScript. In short, Java 8 app development amplify the business app providing users a solution having robust functionalities.

Upcoming Java updates

It is expected that Java 9 is launching this year (2017). It is tittle-tattle that Java 9 is coming up with features like Java 9 REPL (JShell), Factory Methods for Immutable List, Set, Map, and Map.Entry, Private methods in Interfaces, Module System, Process API Improvements, Resources Improvement, CompletableFuture API, Reactive Streams, Diamond Operator for Anonymous Inner Class, Optional Class advancement, Stream API fixes, Enhanced @Deprecated annotation, HTTP 2 Client, Мulti-Resolution Image API and few other miscellaneous features. Expected change in the ecosystem is of Modularity. Modules created, affects all phases of development – Compiling, testing, packaging, deploying, running. Due to this, Java 9 launch is stalled. It’s a thought that Java 9 is designed keeping in mind the developer's request and issues.

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Docker – A Valued Tool for DevOps https://www.stellartechinc.com/blog/docker-a-valued-tool-for-devops/ https://www.stellartechinc.com/blog/docker-a-valued-tool-for-devops/#respond Wed, 31 May 2017 10:47:23 +0000 http://www.stellartechinc.com/blog/?p=1116 Docker is one of the most buzzing and trending, talked about topic amongst tech-savvies currently. Usage of Docker containers comfort many woes. The automated process of development, shipping, testing and deployment of the application was a nightmare few years back, but Docker, an open source project, made it possible. It is an automated process inside software containers. Docker renders an extra layer of abstraction and automation of light weight virtualization on Windows and Linux. Along with the automated process, it is also quick, so it boosts the delivery procedure. It can also be said that Docker notably reduces the delay...

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Docker is one of the most buzzing and trending, talked about topic amongst tech-savvies currently. Usage of Docker containers comfort many woes. The automated process of development, shipping, testing and deployment of the application was a nightmare few years back, but Docker, an open source project, made it possible. It is an automated process inside software containers.

Docker

Docker renders an extra layer of abstraction and automation of light weight virtualization on Windows and Linux. Along with the automated process, it is also quick, so it boosts the delivery procedure. It can also be said that Docker notably reduces the delay between writing code and running it on production. Java app development is not only platform for which Docker containers are useful, but in fact it is platform independent.

Analysis of 2016 reveals that 6 million plus crowd adopted the usage of Docker for their application. Gradually, the numbers are escalating to greater extend. Also, many tech giants like Cisco, Google, Huawei, IBM, Microsoft, and Red Hat are the main contributors in the development and enhancement of Docker, along with Docker team. 

Docker Platform

Docker packages and runs the application in isolated containers. At an instance, many containers can run concurrently on a host. Containers run within host machine's kernel and don't require an extra load of hypervisor – so they are loosely isolated and light weight. Basically, Docker containers are virtual machines.

Being a client-server application, Docker possesses of 3 components:

  1. Server – a Long-running program called a daemon process. It generates ad maintains objects like images, networks, containers, etc.
  2. REST API – Stipulates interfaces that programs can use to communicate to the daemon and guide it for further steps.
  3. Command Line Interface (CLI) – Script or code required for talk of REST API and daemon. 

Docker Architecture

The Docker client reports to the Docker daemon, which performs packaging, distributing and executing steps in the Docker containers. As client and daemon can run on the same system, it enhances the convenience.  By using REST API, client and daemon setups the communication over UNIX sockets or network interfaces.

Docker-Architecture

With Docker, user can deploy as well as debug the code. If the error is found while automated testing, it is reverted back in form of mail – describing details of the errors. Below are mentioned the main architecture components of Docker:

  1. Docker Daemon – Listens to API requests and manages Docker objects. It can also talk to other daemons to maintain Docker services. It runs on a host.
  2. Client – It is a primary medium for users to connect to Docker. The client sends commands to dockerd, and then further steps are performed. A single client can communicate with multiple daemons.
  3. Images – A read-only template add-on with necessary instructions used to create containers. Compared to other virtual machine technologies, Docker images are small and fast.
  4. Containers – Described by its associated image as well as configuration options, a container is an executable instance of a Docker image. Using API or CLI, a container can be created, deleted, operated, moved or deleted. With an extensive storage feature of Docker, a container can be connected to more than one network.
  5. Registry – It mainly stores Docker images. Registry can either be public or private. Docker Hub and Docker Cloud are public registries. Docker store caters an extensive feature where Docker images can be purchased, sold or distributed for free.
  6. Services – A scheduling service called Swarm enables multi-host, multi-container deployment. Services support the client to compare over multiple Docker daemons that all which combine together to work as a swarm. Swarm was introduced in version 1.12 and introduced.

Benefits of Docker

  • Docker is at rage because of CI/CD (Continuous Integration & Continuous Deployment) functionality. CI/CD unites development with testing, which let developers build code simultaneously, push it, and get reverted if any bugs.
  • From developer's perspective, Docker reduces the risk and increases the reliability. Just as the execution environment is alike production environment so the deployment results are also similar. The execution environment possesses requisite infrastructure like the JRE, the application server, VM arguments and other environment variables the application requires to continue.
  • Based on operational team view, maintenance of environments for the application has become less struggling with Docker. Easy updating of an existing application and environment.
  • Docker does it very simpler to provide safety and/or isolation while troubleshooting new applications

For example, if for any Java App development, to run a Java/Maven-based application without Docker, developers need to install both JDK and Maven on host machine. But with Docker, they get a Maven image from the Docker Hub and can utilize it to develop, test, run and deploy an application.

Summary

Package of major benefits like CI, Version Control, Portability, Isolation, and Security, Docker adoption is always a beneficial tool for developer and client. Having extensively favorable characteristics like platform independent cost saving, maintaining appropriate consistency and productivity, compatibility, supporting multi-cloud platforms, enhanced security, and rapid configuration makes Docker a highly adopted tool for deployment and testing.

 

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Software Testing (Quality Assurance) Strategies https://www.stellartechinc.com/blog/software-testing-quality-assurance-strategies/ https://www.stellartechinc.com/blog/software-testing-quality-assurance-strategies/#respond Thu, 12 Jan 2017 11:59:47 +0000 http://www.stellartechinc.com/blog/?p=1089 Testing and fixing software could be tricky, subtle and political even. Nevertheless, as long as one is able to anticipate and recognize common issues, things could be kept running smoothly.

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A software or QA strategy is an outline describing the software development cycle testing approach. The strategies describe ways of mitigating product risks of stakeholders in the test level, the kind of testing to be performed and which entry and exit criteria would apply.

A software testing strategy is an outline which describes the software development cycle testing approach. It is made to inform testers, project managers and developers on some major issues of the testing process. This includes testing objective, total time and resources needed for a project, methods of testing new functionalities and the testing environment.

Software testing or Quality Assurance strategies describe how to mitigate product risks of stakeholders at the test level, which kinds of testing are to be done and which entry and exit criteria will apply. They’re made based on development design documents.

Strategy

FACTORS TO CONSIDER IN CHOOSING SOFTWARE TESTING STRATEGIES

1. RISKS. Risk management is paramount during testing, thus consider the risks and the risk level. For an app that is well-established that’s slowly evolving, regression is a critical risk. That is why regression-averse strategies make a lot of sense. For a new app, a risk analysis could reveal various risks if choosing a risk-based analytical strategy.

2. OBJECTIVES. Testing should satisfy the requirements and needs of stakeholders to succeed. If the objective is to look for as many defects as possible with less up-front time and effort invested, a dynamic strategy makes sense.

3. SKILLS. Take into consideration which skills the testers possess and lack, since strategies should not only be chosen but executed as well. A standard compliant strategy is a smart option when lacking skills and time in the team to create an approach.

5. PRODUCT. Some products such as contract development software and weapons systems tend to have requirements that are well-specified. This could lead to synergy with an analytical strategy that is requirements-based.

6. BUSINESS. Business considerations and strategy are often important. If using a legacy system as a model for a new one, one could use a model-based strategy.

7. REGULATIONS. At some instances, one may not only have to satisfy stakeholders, but regulators as well. In this case, one may require a methodical strategy which satisfies these regulators.

You must choose testing strategies with an eye towards the factors mentioned earlier, the schedule, budget, and feature constraints of the project and the realities of the organization and its politics.

STRATEGIES IN SOFTWARE TESTING

A healthy software testing or QA strategy requires tests at all technology stack levels to ensure that every part, as well as the entire system, works correctly.

1. Leave time for fixing. Setting aside time for testing is pointless if there is no time set aside for fixing. Once problems are discovered, developers required time to fix them and the company needs time to retest the fixes as well. With a time and plan for both, then testing is not very useful.

2. Discourage passing the buck. The same way that testers could fall short in their reports, developers could also fall short in their effort to comprehend the reports. One way of minimizing back and forth conversations between developers and testers is having a culture that will encourage them to hop on the phone or have desk-side chat to get to the bottom of things. Testing and fixing are all about collaboration. Although it is important that developers should not waste time on a wild goose chase, it is equally important that bugs are not just shuffled back and forth.

3. Manual testing has to be exploratory. A lot of teams prefer to script manual testing so testers follow a set of steps and work their way through a set of tasks that are predefined for software testing. This misses the point of manual testing. If something could be written down or scripted in exact terms, it could be automated and belongs in the automated test suite. Real-world use of the software will not be scripted, thus testers must be free to probe and break things without a script.

4. Encourage clarity. Reporting bugs and asking for more information could create unnecessary overhead costs. A good bug report could save time through avoiding miscommunication or a need for more communication. In the same way, a bad bug report could lead to a fast dismissal by a developer. These could create problems.  Anyone reporting bugs should make it a point to create bug reports that are informative. However, it is also integral for a developer to out of the way to effectively communicate as well.

5. Test often. The same as all other forms of testing, manual testing will work best when it occurs often throughout the development project, in general, weekly or bi-weekly. This helps in preventing huge backlogs of problems from building up and crushing morale. Frequent testing is considered the best approach.

Testing and fixing software could be tricky, subtle and political even. Nevertheless, as long as one is able to anticipate and recognize common issues, things could be kept running smoothly.

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How to do Distributed Load Testing using Apache jMeter https://www.stellartechinc.com/blog/how-to-do-distributed-load-testing-using-apache-jmeter/ https://www.stellartechinc.com/blog/how-to-do-distributed-load-testing-using-apache-jmeter/#comments Mon, 19 Dec 2016 11:59:23 +0000 http://www.stellartechinc.com/blog/?p=1060 Apache jMeter has some limitations while appropriate number of requests that can be simulated for load testing from a single machine. As an internet research, a single machine has sent 300-600 user requests to a server (depending on a type of test). That’s why distributed testing comes to the rescue. In a distributed setup there is one controller called Master and number of slaves controlled by the master. Distributed load testing can be tricky and may produce incorrect results if not configured correctly. Let’s look at how to use multiple systems to perform stress testing. But before we start, there...

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Apache jMeter has some limitations while appropriate number of requests that can be simulated for load testing from a single machine. As an internet research, a single machine has sent 300-600 user requests to a server (depending on a type of test). That’s why distributed testing comes to the rescue. In a distributed setup there is one controller called Master and number of slaves controlled by the master. Distributed load testing can be tricky and may produce incorrect results if not configured correctly.

Let’s look at how to use multiple systems to perform stress testing. But before we start, there are a few things that need to be checked as mention below:

  • The firewalls on the systems are turned off
  • All the clients are on the same subnet
  • The server is in the same subnet if 192.x.x.x or 10.x.x.x IP addresses are used. If the server doesn't use 192 or 10 IP address, there shouldn't be any problems
  • Make sure jMeter can access the server
  • Make sure you use the same version of jMeter on all the systems. Mixing versions may not work correctly

Once you've made sure the systems are ready, it's time to setup remote testing. The way jMeter works is 1 master controller initiates the test on multiple slave systems.

 

distributed test environment

distributed test environment 1

Steps to do distributed Load testing:

  • Master and all the slave PC's should be connected to the same subnet.
  • Need to have the same version of jMeter in master (system running jMeter GUI, control each slave) and slaves (system running jMeter-server, receive the command from the master and send a request to a server under test) at the same location. Run jMeter-server.bat in all slave machines (Path: jMeter\bin\jMeter-server.bat)

JMeter path

  • Open JMeter.properties file in edit mode using any software in Master Machine (e.g. notepad++)

JMeter path 1

  • Add slave machine(s) IP list in remote_hosts line using comma in Master Machine
    (Path: jMeter\bin\JMeter.proeprties>> remote_hosts=192.168.0.1, 192.168.0.2, 192.168.0.3, 192.168.0.4, etc.)

jmeter properties

Run Distributed load testing:

  • Double click on jMeter.bat file in Master Machine (Path: jMeter\bin\jMeter.bat)

  • It displayed all slave machines IP list in jMeter>> Run menu>> Remote Start

You can run individual remote slave machine or select Remote Start All for start

remote start - apache jmeter

  • Open Existing/Record New script In Master machine
  • Do Thread Group setting: (No. of Slave machine: 5)

    • Number of Thread (Users): 10
    • Ramp-Up Period (in Seconds): 1
    • Loop Count: 1
  • When clicking on Remote Start All: Slave machines will send 50 requests in 1 second and this process will run 1 time (Calculation: 10 Users X 5 Slave = 50 Request)

slave machines log

Test results depends on the following factors:

  • Network bandwidth
  • Master and slave systems configuration including memory, processor speed
  • Configuration of the load testing tool like number of users running in parallel

Limitations:

  • If you are unable to run test from the above machine, you’ll see below error

error

  • Need slave machine to run the jMeter-server.bat file once again in all machine displayed above message. In Master machine also need to restart test once again.

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How to integrate Pentaho (.prpt) reports with Java Web Application https://www.stellartechinc.com/blog/how-to-integrate-pentaho-prpt-reports-with-java-web-application/ https://www.stellartechinc.com/blog/how-to-integrate-pentaho-prpt-reports-with-java-web-application/#respond Tue, 15 Nov 2016 07:30:30 +0000 http://www.stellartechinc.com/blog/?p=1024 In our earlier blog, we learned how to do Metadata injection using Pentaho. In today’s article, we’ll learn how to integrate Pentaho (.prpt) reports with a web application. Typically, to generate reports, it requires working with Pentaho report designer and deploying “.prpt” file onto BI server. But what if we want to use Pentaho reports inside different types of web applications? This article will serve as a tutorial to integrate your .prpt report with Java web application. You can apply different filters to report and pass parameters from JSP page, to generate the desired reports in different formats. This article...

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In our earlier blog, we learned how to do Metadata injection using Pentaho. In today’s article, we’ll learn how to integrate Pentaho (.prpt) reports with a web application.

Typically, to generate reports, it requires working with Pentaho report designer and deploying “.prpt” file onto BI server. But what if we want to use Pentaho reports inside different types of web applications?

This article will serve as a tutorial to integrate your .prpt report with Java web application. You can apply different filters to report and pass parameters from JSP page, to generate the desired reports in different formats.

This article is written based on a real implementation of code and libraries. The only thing you need to consider before starting is to use the same versions of Pentaho SDK, Pentaho Reporting Engine, and Pentaho Report Designer, to avoid any issues related to a data source.

Here are the steps to follow to integrate a .prpt report with a java application:

1. Create “customer.prpt” file from Pentaho reports designer with necessary requirements.

Pentaho Report

2. Create dynamic web application from eclipse IDE or your choice of tool, and put “customer.prpt” report inside WebContent folder.

3. Create a JSP page with necessary parameters and submit the request to web Container.

Sample JSP:
try{
Class.forName("com.mysql.jdbc.Driver").newInstance();
Connection connection = DriverManager.getConnection("jdbc:mysql://190.166.7.11:3306/DB_NAME?user=root&password=root");
        Statement statement = connection.createStatement() ;
        resultset =statement.executeQuery("SELECT * FROM customers") ;
%>
<center>
        <select name="cname">  //parameter name associated with report
        <option value="-1"> – Select -</option> 
        <%  while(resultset.next()){ %>
            <option><%= resultset.getString("CUSTOMERNAME")%>
            </option>
        <% }
    }catch(Exception e){
        System.out.println("Exception"+e);
    }
       %>
        </select>            
</center>

JSP Pentaho Integration

Note: you can pass customer name from a database to find a match in a report. Parameter names in report and JSP page must be same.

4. Set the parameters into “ReportGeneraterClass” and fetch the desired data related to customer name.

Pentaho report 2

ReportGeneraterClass:  A Java class that contains code to read and write a report in different formats.

We hope that the above tutorial would help you to generate the required reports. For more details, please feel free to contact us.


Author:

This blog is written by Stellar Tech's Business Intelligence Solutions team. At Stellar Tech, we expertise in Pentaho Development and have catered to all the stacks offering state of the art solutions to our esteemed customers. Our portfolio incorporates industry-specific as well as technology specific solutions. Some of our experience includes the creation of, Data Integration process (custom ETL) and Enterprise Report generation; and Profiling of data using embedded Pentaho BI solution.

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Leveraging Big Data Analytics to Revolutionize Sports https://www.stellartechinc.com/blog/leveraging-big-data-analytics-revolutionize-sports/ https://www.stellartechinc.com/blog/leveraging-big-data-analytics-revolutionize-sports/#respond Mon, 17 Oct 2016 10:56:31 +0000 http://www.stellartechinc.com/blog/?p=1016 Big Data is an opportunity in sports to enhance players' professionalism and defining an unbeatable strategy to meet the expectations. Since the inception of big data in sports, data scientists have started using this latest data-driven technology to utilize its power and gather the large volume of data to analyze and build game theories. Because of the vast data collected from multiple channels, the sports industry has touched new heights in terms of improving players’ efficiencies and performance.

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Sports is all about players, team, practice, performance, and strategies. Today, Big Data has touched several industries and its emerging trends has gained popularity that helps in making the right decision to any industry. Expanding its usage, the sports industry is also leveraging the big data to gather the analyzed data to build strategies and improve the game at all levels. In our earlier blog we have already discussed Big Data Competitive Advantage in Retail, today we will focus on how big data have become trending buzz word in sports.

Statistics says, in America alone, 80% of NBA teams and 97% of MLB teams have employed analytics professionals.

nba stadium

Since the inception of big data in sports, data scientists have started using this latest data-driven technology to utilize its power and gather the large volume of data to analyze and build game theories. Because of the vast data collected from multiple channels, the sports industry has touched new heights in terms of improving players’ efficiencies and performance.

Big Data is everywhere. Starting from a wearable device to track players’ health, calorie intake to decide playing strategies and mobile app to track fans’ experience are few examples of big data.

How Big Data made Sports simpler?

Wearable Technologies Data

Wearable devices are flooded in the market, giving rise to fitness awareness among individuals. It has also found its acceptance in the sports industry and helped in monitoring and tracking data of players. The device is either worn by the player or attached to their clothes to let the coach know about the player performance and fitness variables like heartbeats, speed, and acceleration.

Such type of collected data produces vital information of players to coaches that creates an ideal training plan for the player. Data collection improves player’s security and makes the sports safer.

Live Data Collection

Manual data collection of the field is common while playing games. However, collecting live data is challenging as the data moves very fast that do not cater exact data record at the precise time. Henceforth, companies attach RFID tags on players and sports equipment to track speed, distance, and time.

Support Better Judgment

Since in sports, every action happens fast, so it creates a challenge for referees to take a correct decision. Chances are referees takes a wrong decision which impacts the entire game, therefore having big data and analytics, sports industry can use devices to track the strike or a ball hit. This helps the sports authorities to make better decisions using the analytical data.

Predicting a Fan Preference

Technology is now everywhere and so used by the ticket vendors to understand what the fans want. Here, big data performs predictive analysis to allow the vendors know which time is suitable for sports fans or if they are interested in visiting a particular sports stadium. Major sports teams use the mobile app to predict their fans need and provide with special fan experience.

Training to Improve Game

Golf is a highly sophisticated game and it needs good precision. To help training and improving the game, a golf simulator system is designed with a set of hardware (sensors + tracking devices) and software which enables to capture, display and analysis data based on the movements of a golf player, which helps in training. Based on the data received, the software generates animation along with a synthesized biomechanical report which helps identify the strengths/weaknesses of a player and also suggest on how to play to improve the game!

Influence Coach Decision

A rapid increase in the use of the tools available optimizes the coach decision concerning the calculations and considerations by tracking the real time player’s performance in sports. Big Data widens opportunities in this competitive edge to manage the data to provide the right decision. For example, a coach stand outside the court can study about the players playing orders and health using a wearable device that sends real-time data. Employing such a device helps the coach to make a right call.

How are business goals met with Big Data?

After learning several aspects of Big Data in sports, how the business goals can be met?  The foremost objective is to identify the performance of the players as a high-performance or low-performance. Through this, one would get an insight of the players as high, average or low performers that can be trained to achieve success, taking coaching decisions and executing a plan. Particularly, industries have been utilizing the big data to implement in defining strategies. The data in sports are facilitated by implementing a proper tool designed by a professional Big Data and Analytics company.

Big Data is an opportunity in sports to enhance players' professionalism and defining an unbeatable strategy to meet the expectations!


Author: This blog is written by Big Data team at Stellar Tech.

Stellar Tech provides advanced Big Data and Analytics solutions development services to multiple industries. Please feel free to contact us if you need more details about us or our Big Data and Business Intelligence solutions development services.

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The Importance of Mobile App Testing https://www.stellartechinc.com/blog/importance-mobile-app-testing/ https://www.stellartechinc.com/blog/importance-mobile-app-testing/#comments Wed, 14 Sep 2016 12:51:36 +0000 http://www.stellartechinc.com/blog/?p=997 Mobile app testing is growing in relevance for any business that wants to be successful in ever-growing digital world and stay competitive!   The most common issues of a mobile app could be prevented with a complete mobile app testing before launch. A smartphone has become an indespensible part of everybody, whether it is an individual or a corporate. Having a mobile app or a mobile website is mandatory for any business. Morever, there are many new businesses emerged which are based on mobile app. Some of the most popular ones are messaging and calling apps like WhatsApp, Line, Snapchat, or...

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Mobile app testing is growing in relevance for any business that wants to be successful in ever-growing digital world and stay competitive!   The most common issues of a mobile app could be prevented with a complete mobile app testing before launch.

A smartphone has become an indespensible part of everybody, whether it is an individual or a corporate. Having a mobile app or a mobile website is mandatory for any business. Morever, there are many new businesses emerged which are based on mobile app. Some of the most popular ones are messaging and calling apps like WhatsApp, Line, Snapchat, or Games like PokeMon Go, Candy Crush, or Wallet apps or other popular apps like Flipboard, Pocket, Vine, Tinder, Uber, Prisma, and many others.

For companies which are already in the mobile apps business, they are competing for the top place in apps downloads. While a lot believe that the success of a mobile app depends on the kind of program and its capabilities, and some of it does believe that the true differentiation between an application that sells and one that does not is its performance. It is not just about having a cool app, users are likely to abandon a program if its functionality is problematic, regardless of how promising it may seem. On the contrary, even the simplest applications could be lucrative for a business if it works flawlessly.

Around half of the poor reviews on the app stores are based on concerns such as crashes, poor performance, and battery drain. It’s a fact that there’s no major software engineering field rifer with possible hazards that mobile development. Everyone has experienced the sudden surge of frustration which results in a deleted app. That is why mastering the art of mobile testing is increasingly growing in relevance for any organization that wants to stay competitive. The majority of software companies already recognized the value and relevance of investing in mobile apps development. That is why it only makes sense to extend the investment to testing mobile apps as well, regardless of the added complexity and cost that programming and testing for various mobile platforms entails. In the long run, the extra work involved in quality assurance surely pays off.

Testing is the answer to the Mobile App concerns

Mobile testing provides the answer to mobile woes and could help developers prevent failure of a program. Nonetheless, knowing that testing should take place and determine what to test are different things. It could be a challenge to find out the specific elements that have to be tested, as if any of these vital aspects are missed, the application could erroneous. There are various areas that should be tested, and different features under every category as well. Check out the below image of mobile app testing checklist for details.

Mobile App Testing ChecklistFor instance, functionality testing must occur at the start. Functionality tests must include customer submission forms checks and the search feature. In addition, developers must check out media components like video and audio playback, compatibility of libraries and scripts and any calculations or manipulations that the application could carry out.

For any business, making sure that the app is working correctly is paramount. The same care that an organization puts into the product concept and creating the business, should be put towards testing and quality control of mobile apps. This kind of testing isn’t something that could be done in-house as it requires technical expertise. Professional mobile app testing companies could help identify issues before prospective customers could get frustrated with them, and implement ways to fix them as well before the app is rolled-out. A professional software testing company utilizes different types of phones with all major operating systems. Moreover, they use every different phone for testing that ensures proper performance. This enables them to discover more bugs and fix them before roll-out. 

Developers need to test their programs in the same conditions that users will experience. This step is extremely important, and making such an environment is not difficult for testers. There are mobile testing platforms that enable developers to test their websites and apps quickly and more easily. With features such as real-time analytics and visual test environments, mobile app testing companies could guarantee the functionality and quality of their program while hastening the time to market. Testing is far from the most enjoyable part of developing a mobile app. Nevertheless, there is an array of tools that make the tasks a lot quicker, easier and smoother. Finding and solving bugs before an application is released would make it more popular and would see a wider take up in the long run.

Mobile App Testing Strategy

Mobile application testing strategy that ensures Quality Assurance align with business goals, customer expectations, and industry best practices:

1. Selection of a mobile app. With the selection, there are two choices, choosing a gadget model or choosing between substantial devices and emulators. Other factors like connectivity options, memory size and more should be accounted for when choosing a device model.

2. Mobile testing on cloud. Mobile testing that is cloud-based makes potentially infinite scenario combinations easier to manage. This is a desirable option for testing mobile apps. The cloud offers a web-based testing environment wherein apps could be deployed, tested and managed.

3. Emulators vs. Physical devices. One could also decide among emulators or physical devices. In the starting stages of development, device emulators are very useful since they help in fast and efficient testing, particularly in an agile development scenario. Physical device testing leads to beta testing as a very useful method which provides admittance to real devices, real-world testers, actual networks and a bigger geographic coverage.

4. Network connectivity. This considerably affects mobile apps as the majority of mobile applications rely on network connectivity to function correctly. Testing mobile apps in actual network environments is critical to get the real picture of the behavior of an app.

5. Manual vs. Automated. The key to a successful regression is automation during the development stages. However, automated testing requires a large amount of initial investment.

Conclusion

Mobile app testing has become a critical part of mobile apps development. Majority of problems that an app faces, could be addressed through a successful mobile app testing. This also increases the go-to-market time and ensures success of the app. A professional mobile app testing company could guarantee the functionality and quality of the app.


Author:

This blog is written by mobile app development and Quality Assurance team at Stellar Tech. With our years of experience, expertise and processes, we have helped leading organizations worldwide to implement their Enterprise Mobility objectives with completely tested solutions.

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Why NoSQL is required when RDBMS is proven? https://www.stellartechinc.com/blog/why-nosql-is-required-when-rdbms-is-proven/ https://www.stellartechinc.com/blog/why-nosql-is-required-when-rdbms-is-proven/#comments Tue, 09 Aug 2016 09:56:01 +0000 http://www.stellartechinc.com/blog/?p=987 NoSQL offers multiple benefits for the development of next generation of applications in the era of Big Data. The new applications, use cases, and data needs have many times outgrown the legacy RDBMS model and require a different type of engine, which are fulfilled by NoSQL.

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In today’s fast-paced business world, NoSQL is preferred compared to RDBMS. This is because NoSQL handles rapid change effectively than RDBMS, which simply are not designed to meet changes and challenges these days.

Data Evolution

Most articles on the NoSQL topic are around the theme of RDBMS vs. NoSQL databases. NoSQL encompasses a huge array of different database technologies which were developed as a response to the demands presented in creating modern apps. Developers work with apps that build massive volumes of new, quickly changing data types, such as structured, semi-structured, unstructured and polymorphic data.

RDBMS means Relational Database Management System. The data is structured in database fields, tables and records. Each RDBMS table has database table rows. Each and every database table row contains one or more database table fields. There are very good reasons for opting for an RDBMS so long as the amount of data isn’t prohibitive. Nonetheless, there are also specific and simple reasons why traditional RDBMS solutions could not scale beyond some database nodes and that is painful even. So, one has to decide when and why one should opt for RDBMS.

rdbms vs nosql

Structured or Unstructured?

Although data durability is a vital aspect of an RDBMS, it isn’t a differentiator in comparison to other solutions. The nature of RDBMS is table based, it’s not a real feature but a way of storing data. While there are instances that could benefit from this, most of them are simple, similar to excel spreadsheets. However, that nature needs a relational concept between tables and rows to make up complex entities. These days, change happens frequently, and data modeling is a big challenge due to the time and resources that a relational database will require. Sadly, when using a relational database, even a straightforward change such as adding or replacing a column in a table could become a million dollar task.

From CIOs to developers, everyone has realized that RDBMS simply were not designed for the challenges in today’s data. Thus, there has been an explosion of data as well as new database products on the market recently. Every year, the list just gets bigger and bigger. As a matter of fact, the trend has been going on for several years now.

Digital Economy

The business environment is undergoing enormous change as industry after industry is shifting to the Digital Economy. It is an economy powered by the web as well as other 21st century technologies, including the social, mobile, analytics, cloud, and big data, popularly termed as SMAC. At the center of every Digital Economy business is its web, mobile, and Internet of Things apps. They are the primary way that organizations interact with clients and how they run more and more of their businesses. The experiences that businesses deliver through those applications hugely determine the satisfaction and the loyalty of their clientele.

Birth of RDBMS and NoSQL

Relational databases were born during a time of business applications and mainframes, long before the internet, big data, cloud, mobile, and the Digital Economy. As a matter of fact, the first commercial implementation was released in 1979 by Oracle. The databases were engineered to run on one server, thus, the bigger, the better. The only way to boost the capacity of the databases was to update the servers, such as the processors, storage, and memory to scale up.

The emergence of NoSQL stems from the exponential growth and rise of the Internet and of web apps. Google released BigTable research in the year 2006 and Amazon released Dynamo research paper in the following year. The databases were developed to meet the new generation of business requirements.

Agility

RDBMS are the main roadblock to agility because they do not very well support agile development because of their fixed data model. But with NoSQL, a business could develop apps with agility. As innovation centers around the development of contemporary web, mobile and the internet of things applications, developers now more than ever needs to develop faster applications and services. Speed is paramount, but so is agility because these apps evolve far more quickly compared to legacy applications like ERP.

NoSQL databases support data storing as is. The big majority of data in an enterprise system is unstructured. Most NoSQL databases could handle indexing of unstructured text as either a native feature or an integrated set of services. Being able to manage unstructured text increases information and could help businesses make better decisions. For instance, advanced users include support for numerous languages with facetted search, word-stemming and snippet functionality support. Advanced features also have support for dictionaries and thesaurus. Additionally, using search alert actions on data ingest, one could extract named entities from directories like those listing places, people, and organizations, that allow text data to be categorized, tagged and searched better.

Schema Agnostic

The schema agnostic feature of NoSQL databases allow for handling change over time. They are very much capable of handling change and there is now need to rewrite ETL routines if the XML message structure between the systems change. Some NoSQL databases even take this step further and offer a universal index for the structure as well as text found in information.

Who’s using it?

There are several Global 2000 organizations deploying NoSQL for mission critical apps which have been discussed recently. One example is Europe’s number one retailer, Tesco. It deploys NoSQL for eCommerce, product catalog and other apps. Another example is Ryanair, the busiest airline in the world that uses NoSQL to power its mobile application that serves more than three million users. Marriot also deploys NoSQL for its reservation system which books $38 billion yearly. These are just a few of the enterprise in the world that make use of the NoSQL platform.

NoSQL types

The various types of NoSQL are key-value, columnar, document and graph. Key-value databases fit well with apps that frequently have small reads and writes together with simple data models. The stored values in key-value databases could be simple scalar values, like integers or Booleans, but they could be structured types of data, like lists and JSON structures. In general, key-value databases have simple query facilities which allow for looking up a value by its key. Some databases support search features that provide for seemingly more flexibility. Another type is the columnar or column family databases which are designed for huge volumes of data, high availability and read and write performance. An example is Google introduced Bigtable to meet the needs of its service. Facebook developed Cassandra in order to back its Inbox Search service. These databases run on multiple servers clusters.

The document type databases offer an alternative to relational databases rather than being a replacement. Each has its place and they provide more options to choose from. One particular example is MongoDb documentation that talks about a pattern that’s known as Array of Ancestors that hastens up access to related data when joining documents. The fourth type is the graph database. It uses graph structures for semantic queries with edges, nodes, and properties to store and represent data. A key concept is a graph, which relates data items directly in the store. Examples include Neo4j, AllegroGraph, and others.

There’s no doubt that NoSQL offers multiple benefits for the development of next generation of applications in the era of Big Data. The new applications, use cases, and data needs have many times outgrown the legacy RDBMS model and require a different type of engine, which are fulfilled by NoSQL.


Author: This blog is written by Big Data and Analytics solutions development team at Stellar Tech.

Stellar Tech provides advanced Big Data and Analytics solutions development services to multiple industries. Our data experts understand Big Data challenges, therefore, our experienced professionals use their power of Big Data, skills, domain expertise and knowledge of tools to fulfill the business insights resulting in successful outcomes. Please feel free to contact us if you need more details about us or our Big Data and Business Intelligence solutions development services.

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