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ABOUT THE COURSEIn this course, we will discuss the Hive data storage principle, performing operations with data in Hive, implementing Advance Query features of the Hive, the File formats and Record formats supported by the Hive environment Use Pig to automate the design and implementation of MapReduce applications
COURSE OBJECTIVESUpon successful completion of the course, the learner will be able to :
In this module, you will be exposed to an overview of the role of Hive, how to install and configure Hive, the supported schema types, data types, metadata, and partitions, listing various Hive built-in functions, performing Hive commands for data definition language, performing the HQL commands to execute data modification language and queries.
In this module, you will be exposed to use HQL commands to perform DML queries, implement joins in Hive, using some Hive best practices, performing performance-tuning and query optimization in Hive, various execution types in Hive, various Hive files, formats and security in Hive.
In this module, you will be exposed to the features and advantages of Pig, how to install and run Pig, the properties of Pig, using Pig Latin statements and functions and using relational operators in Pig.
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