Develop a thorough understanding of the concepts and terminology related to Unix, Linux, and shell for big data testing.
Big Data Testing is a process that involves looking over and confirming the capabilities of Big Data Applications. Big Data is the term for acquiring huge amounts of information that traditional storage solutions cannot manage. Learn Big Data Testing with Hadoop and Hive with Pig Script certification course is developed by Big Data Engineer and is made available by Udemy which is created for the learners who want to gain a thorough understanding of the methods involved with big data testing from the ground up.
Learn Big Data Testing with Hadoop and Hive with Pig Script online training contains 11 hours of video-based learning resources which focus on providing learners with the knowledge of the methodologies associated with big data testing to make their careers in the domain of big data testing. Learn Big Data Testing with Hadoop and Hive with Pig Script online course discusses topics like Unix, Linux, SED commands, AWK commands, and shell scripting as well as will acquire an understanding of the Hive query language for Hadoop data integration.
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Udemy
After completing the Learn Big Data Testing with Hadoop and Hive with Pig Script online certification, learners will gain an insight into the fundamentals of big data and will acquire the knowledge of the core functionalities of Hive, Hadoop, and Pig for operations like big data testing. In this big data testing certification, learners will explore the functionalities of Unix, Linux, and shell scripting for big data testing. In this big data testing course, learners will also study strategies involved with SED, AWK, and HDFS.
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