Bigdata Testing Training

Big data is large collection dataset which is not processed using the traditional computing methods. Big data applications focus on processing large dataset, storage and generation of analytical reports. Testing of such Big data applications involves, testing of the various data storage tools, framework and processes. Big data testing focuses on performance and functional testing validating the data processing functions of the application framework.

Quality Thought offers the best Big Data Testing program with emphasis on real-time application testing case studies. Our course curriculum has been prepared by trainers with real-time industry experience with a lot of emphasis on real-time case studies and assignments. The primary objective of the Big Data Testing is to help students and working professionals learn and master all the important facets of Big Data testing ensuring the students are market ready for can grab opportunities across industry domain.

The program focuses on Big data and Hadoop concepts. It highlights the need for understanding the processes involved managing large data volumes, processing application working on large scale data etc.

UNIX commands and processes are discussed in order for the students to master the skills needed to manage operating system and application frameworks.

Hadoop testing concepts are mastered with the focus on Test plans, estimates, test cases, test scripts, defect tracking and reporting etc. These topics will help student up skill and be a effective QA testing professional on the Hadoop platform.

Big Data Testing program can be picked up by anyone good hands on with Manual Testing and understanding of elementary programming and Bid data processing applications like Hadoop. The course is applicable to:

Graduates/Post Graduates/Fresher
Working IT professional from programming, web development and DBA fields
Software programmers
Manual Testers

Testing is one of the key activities associated with any project development life cycle. Proper testing is of at most importance in application product development. Testing engineer will always be in demand and are the backbone of software product development companies. With the increase in the usage of Big Data applications across industry for various analytical reporting and other data crunching applications the need for QA engineers with expertise on Big data testing has been on a rise. Test engineers and Student with the right skill set and a flare for testing have great opportunities in the Testing space and a Career is testing technology will be excellent and fulfilling.

Big Data Testing is for people for any background and prior experience in Manual Testing. People from non-programming background with a flair for understanding programming and Data management can also get into this program and learn all the concept of testing including manual testing before picking up with Big Data testing.

Big data is large collection dataset which is not processed using the traditional computing methods. Big data applications focus on processing large dataset, storage and generation of analytical reports. Testing of such Big data applications involves, testing of the various data storage tools, framework and processes. Big data testing focuses on performance and functional testing validating the data processing functions of the application framework.

Quality Thought offers the best Big Data Testing program with emphasis on real-time application testing case studies. Our course curriculum has been prepared by trainers with real-time industry experience with a lot of emphasis on real-time case studies and assignments. The primary objective of the Big Data Testing is to help students and working professionals learn and master all the important facets of Big Data testing ensuring the students are market ready for can grab opportunities across industry domain.

The program focuses on Big data and Hadoop concepts. It highlights the need for understanding the processes involved managing large data volumes, processing application working on large scale data etc.

UNIX commands and processes are discussed in order for the students to master the skills needed to manage operating system and application frameworks.

Hadoop testing concepts are mastered with the focus on Test plans, estimates, test cases, test scripts, defect tracking and reporting etc. These topics will help student up skill and be a effective QA testing professional on the Hadoop platform.

Big Data Testing program can be picked up by anyone good hands on with Manual Testing and understanding of elementary programming and Bid data processing applications like Hadoop. The course is applicable to:

Graduates/Post Graduates/Fresher
Working IT professional from programming, web development and DBA fields
Software programmers
Manual Testers

Testing is one of the key activities associated with any project development life cycle. Proper testing is of at most importance in application product development. Testing engineer will always be in demand and are the backbone of software product development companies. With the increase in the usage of Big Data applications across industry for various analytical reporting and other data crunching applications the need for QA engineers with expertise on Big data testing has been on a rise. Test engineers and Student with the right skill set and a flare for testing have great opportunities in the Testing space and a Career is testing technology will be excellent and fulfilling.

Big Data Testing is for people for any background and prior experience in Manual Testing. People from non-programming background with a flair for understanding programming and Data management can also get into this program and learn all the concept of testing including manual testing before picking up with Big Data testing.