Data is growing exponentially and it is vital for any company to keep all of its data while maintaining a bare minimum cost level. In this chapter, we started by learning how to install MySQL in a Linux environment. Then, we created a database with some tables and data in it. This was done to create an initial environment in order to learn how to migrate data from a relational database such as MySQL into a Hadoop ecosystem such as HBase. We then studied the structure of the tables in the MySQL database and analyzed the data available in it.
Then, we installed HBase in our Hadoop cluster, which we set up earlier in this book. We also then performed some required configuration before proceeding with different operations in HBase. We then created the tables in it that will hold the imported data from the MySQL database.
We then learned about Sqoop, which is an open source...
