There are five types of data structures

We all know that Sqoop is a component used to transfer structured data from RDBMS like databases (e.g. MySQL, SQL Server, ect.) to Hadoop HDFS and vice versa (from HDFS to RDBMS). Now, what if we want to load semi-structured and unstructured data into Hadoop HDFS, or live streaming data that is generated from sources like twitter, facebook, weblogs and more into Hadoop HDFS.

Assume we have web and mobile applications that store their data into RDBMS like databases (e.g. MySQL, SQL Server, ect.). As the data grows, processing it in RDBMS environments is a bottleneck. If the data is very huge, RDBMS is not feasible. That is where distributed systems help. For this, we need to bring the data to distributed systems then it becomes easy to process it. The data fetching process should also be fast.

Well most of us know how to: