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Writing MapReduce requires programming and it takes a lot of effort and time to get a MapReduce application right. So, in the industry, most of the people use Hive in order to do the Analytics on Big Data in a structured format. If your data is in tabular format, Apache Hive is the best tool to do the Big Data Analytics. Hive uses MapReduce underneath. You write code in SQL and Hive does the heavyweight lifting of translating it into Something MapReduce can execute.

This chapter teaches everything about Apache Hive. If we need to connect to Hive using a BI tool such as Tableau, Hive Server is used.

To get started with this chapter, you only require knowledge of SQL and a bit of Linux.

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Data Science Specialization | Big Data with Hadoop and Spark | Big Data with Hadoop