A global Enterprise search solutions provider wanted to perform big data testing and achieve faster time-to-market. Any tool used for automation testing of … TestingWhiz is a Code-less Test Automation Tool for Functional, Regression and Database Testing of your Web, Mobile and Cloud-based Applications. Big Data deals with not only structured data, but also semi-structured and unstructured data and typically relies on HQL (for Hadoop), relegating the 2 main methods, Sampling (also known as “stare and compare”) and Minus Queries, unusable. Understanding the evolution of Big Data, What is Big Data meant for and Why Test Big Data Applications is fundamentally important. The Keyword driven testing framework is an extension to Data driven Testing Framework in a sense that it not only segregates the test data from the scripts, it also keeps the certain set of code belonging to the test script into an external data file. All of them generate useful insights that can be used further for diverse applications. Powered by TCS’ alliance with Oracle, the Big Data and Analytics Test Automation Solution (BITS) platform delivers reusable automation scripts for smarter testing and validates existing analytical models to ensure accurate insights into the business, helping enterprises achieve tangible results, including up to 20% lower costs. This is more so called as keyword driven test automation framework for web based applications and can be stated as an extension of data driven testing framework. Testing big data applications is significantly more complex than testing regular applications. TestingWhiz, being automated Big Data testing solution, helps you verify structured and unstructured data sets, schemas, approaches and inherent processes residing at different sources in your application in languages such as ‘Hive’, ‘Map-reduce’ ‘Sqoop’ and ‘Pig’. Big data automation testing tools help in automating the repetitive tasks involved in testing. Big Data testing is completely different. The speed and efficiency of Enterprise search systems to skim and sort through gargantuan cloud library make them highly valuable. The queries are hit on the input and output of the big data application. Big Data Automation Testing Tools. Carina is a widely-used test automation framework that is built on top of the most popular open-source solutions like Selenium, Appium, and TestNG, thereby reducing the dependence of developers and web testers on a specific technology stack. Big Data from a tester’s perspective is an interesting aspect. Testing Big Data applications requires a specific mindset, skillset and deep understanding of the technologies, and pragmatic approaches to data science. These set of code are known as Keywords and hence the framework is so named. Hybrid Testing Framework: This form of hybrid testing framework is the combination of modular, data-driven and keyword test automation … Performance and functional testing are the keys to Big Data Automation testing. Query-based validations reduce the complexity and provide a simpler test case automation.
Popular techniques for analysing Big Data Let’s have a look at some of the popular techniques that are being used for analysing large data sets.

The big data testing framework provides an easy interface to validate business logic based on simple SQL queries. It is a Test Automation Tool, which can perform end-to-end testing like Functional, Regression, Database, Big Data, Web UI, Cross Browser testing & Distributed Execution for Web, Mobile and Cloud Apps.
Rather than testing the individual features of the product testing Big Data application is more of data processing verificaation.


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