Using Apache’s sqoop, we can transfer structured data from Relational Database Management System to Hadoop distributed file system (HDFS). Because of distributed storage mechanism in Hadoop Distributed File System (HDFS), we can store any format of data in huge volume in terms of capacity. In RDBMS, data persists in the row and column format (Known as Structured Data). In order to process the huge volume of enterprise data, we can leverage HDFS as a basic data lake. In this video, we have explained how sqoop can be used to transfer data (E-Commerce application’s order related data) from Oracle 11g to HDFS. Here single node cluster has been used where Hadoop 2.x has been installed. Data ingestion mechanism would be same if sqoop used in multi node cluster or built in the cloud environment like Microsoft Azure, Amazon web service, Google Cloud platform etc.