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Why Become Hadoop or Big Data Tester

September 7, 2016
Handoop tester, big data hadoop, handoop big data, hadoop testing, Hadoop

Software testing is a respectable and crucial position in any IT company. As testing is an integral part of SDLC and ensures the stability and overall success of an application, software testers are considered as gatekeepers and responsibility increase much in the case of Hadoop ecosystem.

That’s not all. A good software tester with a keen insight would have a thorough understanding of the project and would be accustomed to all possible flows of the application.But after a certain stage, the learning curve hits a plateau, which can lead to stagnation; a dangerous stage in any IT professional’s career.

So what can a test engineer do to escape such situation? In this article, we would discuss a new testing disciple, i.e. Hadoop and Big Data testing. And list down the pros and challenges such a move can have on a tester’s job profile.

What is Big Data?

  • Big Data are large data sets which can’t be processed using traditional data processing software.
  • These data sets consist of data from different sources and are analyzed and processed for gathering valuable information.
  • Big e-commerce websites use big data to gather information about customer preferences and browsing patterns to provide viable suggestions and search results for individual customers.
  • These data sets have the characteristics of:
  • Volume – Data Sets consists of high volume data from different sources. Such high volume data provides more accurate analysis result thus helping in making much more promising predictions.
  • Velocity – Data is gathered at the real time. So big data analysis and processing should be fast yet reliable.
  • Variety – Datasets consists of data from different sources. These data can be numeric, text documents, email, e.t.c.

Sneak Peek into Current Testing Roles and Jobs

Before jumping into Big-data testing, let us discuss the predominant roles played by a tester.

  • In the past, most Software companies would search for aggressive manual testers who would create test plans, and strategize the complete testing process. But with time and advancement in software technology, automation testing proved to be the need of the hour.
  • Even though automation tests were time-consuming and required ample time for periodic maintenance, its several advantages overshadowed it large initial cost.
  • As the demand for automation testers soared, so did the need for performance, security and mobile testing. Such testing practices provided a complete analysis of the software under test.

Now with the advent of big data and it’s abundant usage for data analysis, has opened new avenues for test engineers worldwide.


Benefits of Being a Hadoop or Big Bata Tester?

In any organization, a test engineer’s role extends to different domains. Thus when a project embraces a new technology, QA should be ready to grasp the basic concepts and features provided by it. And given the increasing popularity and inclination of software companies towards Hadoop or Big Data, learning it has become even more evident. Apart from the dire need to learn Hadoop, here are some points which show why learning Hadoop and Big Data testing would be the right move.

Career Growth with Hadoop Testing is way Better than other Regular Testing Roles

  • According to a survey conducted by Edureka, the growth rate of Hadoop or Big Data testing is approximately 5%, compared to 1.6% of other software testing disciplines.
  • Also, the graph indicates the boom in Hadoop testing requirement since 2011, while the requirement for other Software roles took a dip from 2013.



Big Data Testing can open Doors to Diverse Job Opportunities 

  • In the case of basic testing disciplines, test engineers are employed by one or the other software company to test their own application or help with the testing of a client’s project.
  • In either of these cases, the testing is strictly related to web applications, native, banking, e-commerce or hospitality related applications. Thus the testing is conducted by taking customers and application users into consideration. But in the case of big data, the story is completely different.
  • As big data handles enormous amounts of data from various sources for analysis, it can be used by customer-centric e-commerce or marketing companies, or for research purposes.
  • Some of the less known fields where Big Data testers are recruited are, in the fields of environmental research, complex physics simulations and even predictive economics.

Prior Testing Knowledge is the Primary Requirement

  • For a professional currently employed as a software tester, learning Hadoop testing can be a walk in the park.
  • For a job position of a Big Data tester, the primary requirements are that of a core tester. Having a keen insight and being well accustomed with different testing methodologies is a must for such a profile.
  • Other than that, basic Big Data and Hadoop skills are enough to get accustomed to the task in hand, which can be acquired with regular practice and practical implementation.

Prior programming Knowledge is Enough to make a Transition to Hadoop or Big Data

  • When it comes to learning a new application platform, people have to go through the implementation and documentations of different tools, languages, and libraries. But for Hadoop, the transition is quite simple.
  • For those who have hands-on experience in Java, working on Hadoop would be a simple task.
  • MapReduce scripts used for big data testing are written in Java.
  • For Non-Java professionals, they can rely on other tools that don’t require Java. Tools like Pig and Hive use SQL statements and queries and doesn’t rely on Java in any way.

So, to sum it up in a few words, switching from a regular testing disciplines to Big Data or Hadoop testing might sound surprising, but such agility is highly appreciated for testers.

It not only opens new technical avenues but also helps to evade stagnation at the job. Testers, who have good knowledge of either Java or SQL and is well-aware of the Linux platform, can easily transform themselves into Big Data or Hadoop tester.


About the author

arindam bandyopadhyay author

Arindam Bandyopadhyay is an automation tester with over 5 years of experience in software testing. While during the day he juggles between Eclipse and spreadsheets, at night he lets his fingers do the talking as he writes about anything and everything his paradoxical mind desires.


Rita Marlene

December 19, 2016 at 11:36 am

Strategy is similar to the class room training which always refer to this website for additional technical knowledge.


March 23, 2018 at 5:29 am

Well said…!!!


March 23, 2018 at 5:30 am

Valuable article…

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