Azure Data Engineer Certification (DP-203) Co ...
- 9k Enrolled Learners
- Weekend
- Live Class
(3450)
The testing process is understandably the most important aspect of any software domain. The Testing Engineer role extends to different domains when the organization chooses to adapt itself to an improved technology. In this blog post, let’s discuss why a Software Testing Engineer should learn Big Data and Hadoop ecosystem technologies.
If you are new to the world of Big Data/Hadoop, glance through some of our posts on 5 Reasons to Learn Hadoop, The Hype behind Big Data and What Hadoop is all about?
Let’s get straight to the nitty-gritty details of this topic;
Why should a Software Testing Engineer learn Big Data and Hadoop?
Career Growth:
The above chart is self-explanatory. It clearly shows that the growth rate of Hadoop related job are much higher than that of software testing jobs. The maximum growth rate of software testing related jobs is at approximately 1.6% but the growth rate of Hadoop based testing jobs are at a whopping 5% (approximately.)
80% of people who learn Hadoop are from a non-development background. You too can be one of them.
Explore and learn more about Hadoop from this Online Big Data Course, which was designed by a Top Industry Expert from Big Data platform.
Limitations of current Testing practices while testing Applications to solve Big Data problems:
- Software testing approaches are driven by data (like skewness in data, data sets size mismatch etc.) rather than the testing scenarios.
- Standard data matching tools (like win diff etc.) don’t work with large volumes of data. This becomes a limitation to the software testing engineer’s skill sets.
For mid-sized data, the data can be exposed as HBase tables and verified from input data set by applying business logic on small set of input.
For large scale data, Big data techniques provide engineers with unique skill sets that are used for testing large and complex data sets and find numerous opportunities in the field of meteorology, genomics, connectomics, complex physics simulations and biological and environmental research.
State of Testing field – Expert Opinions:
Scott Barber, a renowned tester, speaker and writer on testing related topic; specializing in the area of System Performance Testing has quoted some really powerful and impacting words about the current situation in the Testing field.
There has been numerous talks on different social medias about the possibility of Testing becoming a “Dying profession” and Scott does agree that Testing as a profession is in the middle of a dramatic transformation.
Well, that statement was dramatic enough, let take a look at the facts and see for ourselves what is going on in the Testing field.
Learn more about Big Data and its applications from the Azure Data Engineering Training in Atlanta.
A Look at Hadoop/Big Data Tester Job Profile:
Below is a requirement placed by a certain organization for their Hadoop Tester requirement:
When looking at the above requirement, we can see that Testing skills are largely needed and form the foundation of this job profile. Now, all that is required of a Software testing engineer to become a Big Data or a Hadoop Tester is to update himself with Big Data/Hadoop skills.
How easy is it, to shift to Hadoop/Big Data:
- To Java or not to Java – Flexibility to choose:
For those who are experts in Java, the transition is a cake walk as is an open-source, Java-based programming framework. The MapReduce scripts used here are written in Java. Now, it is pretty obvious that to work on Hadoop, knowledge in Java is imperative.
By saying the above, It doesn’t mean that non-Java experts have a rough journey ahead. The beauty of Hadoop is that it has an array of tools that a ‘Non-Java’ expert can use. Some of the Hadoop tools like Hive, Pig and Sqoop don’t require Java knowledge as they rely heavily on SQL.
- Shared Skills and Application Platforms between a Testing professional and Hadoop professional:
The idea of moving from out comfort zone to a new domain like Big Data/ Hadoop might be a little overwhelming at first. But one has to realise that Testing and Hadoop are not mutually exclusive. Here is a list of skills and platforms that are used between them can be used according to http://www.itjobswatch.co.uk. One or more of these skills, can also be used in alignment with Big Data and Hadoop skills. Thus, making it is easier to make a smooth transition.
A good Testing Engineer possess sharp analytical skills, strong technical skill, great attitude, detail oriented and willingness to learn. These are the exact traits required for anyone to switch over to Hadoop. It is irrefutable that Testing is undergoing transformation but it is not going to be the end of it. But with the changing times, it is prudent to sail the high wave – Hadoop, considering all its features and flexibility.
Still not convinced you can learn Hadoop? Don’t trust anyone. Judge yourself. Click below to watch a sample class recording of a Big Data and Hadoop class conducted by Edureka. Learn more about Big Data and its applications from the DP 203 Certification course.
Got a question for us? Mention them in the comments section and we will get back to you.
Related Posts:
I don’t see hadoop testing concepts in hadoop course content, Does Hadoop testing is part of hadoop training or not.
Good information about big data analytics. thanks for sharing this information. Keep share good blog post. Best Data Analytics Training Bangalore
Quite interesting article. Although I might disagree on some minor points, but overall I’m all in favor of involving big data in testing. I think you’ve brought quite an interesting point with current testing limitations and how big data is affecting this field of software engineering (although I think big data kind of affects all fields nowadays). When it comes to quality assurance services in general, there needs to be a constant change, because for very long time it kinda stayed static, yes we got new tools, but core principals of it remained unchanged, even as the software development progressed. But today some emerging trends like big data and IoT require new approaches and it is shifting the paradigm. Which is good, but inconvenient at the same time.
I have got good Analytical skills and worked on ETL testing, I like to analysis data from DB , so is big Data testing for me?
Hey Shravan, thanks for checking out our blog.
There is no separate tool for Testing in Hadoop. But, if you would like to learn Hadoop to further bolster your career, you can check out our Big Data & Hadoop course which will give you a solid start in Big data. You can check out our course details here: https://www.edureka.co/big-data-hadoop-training-certification. There are no specific pre-requisites to learn Hadoop but basic knowledge of core Java and SQL do help.
If you have an interest in Data Analytics, you could also check out our Data Analytics with R course here: https://www.edureka.co/data-analytics-with-r-certification-training. This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become ‘Data Analysts’ in near future. It is also a stepping stone to Data Science. The pre-requisites for learning ‘Data Analytics with R’ includes basic statistics knowledge.
Hope this helps. Cheers!
nice blog
Hi, right now Im in to embedded c and c++ automation testing in whitebox. I know basic java, but due to work exposure on c and c++ i forgot java. Im looking for a career shift which has a more demand for the resource. I want to know how the transition from white box tester with experienced in c and cpp to hadoop testing can impact, what opportunities will be available? Is it really beneficial for me?
Hey Abhilash, thanks for checking out our blog.
There is no separate tool for Testing in Hadoop. However, your knowledge of C and C++ will come in handy if you are planning to learn Hadoop ( Developer perspective). You can check out our course details here: https://www.edureka.co/big-data-hadoop-training-certification.
Hope this helps. Cheers!
With multiple sources of information from different data, it has become imminent to facilitate live integration of information. This forces enterprises to have constantly clean and reliable data, which can only be ensured through end to end testing of the data sources and integrators. I recommend to read latest Big data testing white papers hosted on our website.
Simply superb article thanks a lot </a
Hi,
Just checked your intro, very interesting, I am from Science backgroup with little knowledge of Java and Sql, I live in UK. Just wanted to find out if Hadoop would help me to step into IT career.
thanks a lot
Nagesh
Hey Nagesh, thanks for checking out our blog. While there are no pre-requisites to learn Hadoop, knowledge of Java and Sql do come in handy. You could start with getting some experience in Java & Sql or related IT areas as breaking into a career in Hadoop with no work experience is harder, but not impossible. Once you have gathered some work experience in your resume, you could up-skill with the Edureka Big Data Hadoop Certification course. You can check out the course curriculum here: https://www.edureka.co/big-data-hadoop-training-certification. You can start applying for Hadoop Developer jobs after completing the course (if that is the career track you would like to take). Hope this helps. Cheers!