Hive is a data processing tool in Hadoop. As we have learned in the previous chapter, data ingestion tools load data and generate HDFS files in Hadoop; we need to query that data based on our business requirements. We can access the data using MapReduce programming. But data access with MapReduce is extremely slow. To access a few lines of HDFS files, we have to write separate mapper, reducer, and driver code. So, in order to avoid this complexity, Apache introduced Hive. Hive supports an SQL-like interface that helps access the same lines of HDFS files using SQL commands. Hive was initially developed by Facebook but was later taken over by Apache.
Apache Hive
Apache Hive and RDBMS
I mentioned that Hive provides an SQL-like...
