As a tester, one needs to test Data Delivery output including, how easily the data is distributed to different files accessible in the Hadoop Framework or in the Data Warehouse. Similarly, when sending data to Client Systems the same cycle occurs. The Hadoop Framework or Data Warehouse is made up of several components, so a Tester needs to check the performance of all those components, such as MapReduce Work, data insertion and consumption, query response time and efficiency as well as search operations results.
HKR delivers the best industry-oriented hadoop testing training course that is in line to clear the certification exams. Our course covers all the key concepts such as key fundamentals of hadoop testing, authoring, managing and organizing the content, you will learn how to sync, publish and cloudera VM, system architecture, HDFS, map reduce, Hive, pig architecture and POC, etc. During the training period, you can get full support and real-time project assistance from experienced professionals. Enroll today at HKR for accepting the new challenges to make the best out of our hadoop testing online training.
To apply for the Hadoop Testing Training, you need to either:
Once you complete the entire course and real-time projects and assignments, HKR delivers the course completion certification. This certification helps to get a job in any company very quickly.
Our trainers are highly qualified and certified with many years of industry experience and technology background in varied courses.
Certification differentiates you from the non-certified peers, and you can demand the best salary in the leading companies.
The Hadoop Testing course curriculum is structured to streamline the learning process by a team of experts. You can find the complete course details in below-mentioned modules:
Our course covers all the key concepts such as key fundamentals of hadoop testing, authoring, managing and organizing the content, you will learn how to sync, publish and cloudera VM, system architecture, HDFS, map reduce, Hive, pig architecture and POC, etc.
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