When to use Sqoop
Apache Sqoop could be employed for many of the data transfer requirements in a data lake, which has HDFS as the main data storage for incoming data from various systems. These bullet points give some of the cases where Apache Sqoop makes more sense:
- For regular batch and micro-batch to transfer data to and from RDBMS to Hadoop (HDFS/Hive/HBase), use Apache Sqoop. Apache Sqoop is one of the main and widely used technologies in the data acquisition layer.
- For transferring data from NoSQL data stores like MongoDB and Cassandra into the Hadoop filesystem.
- Enterprises having good amounts of applications whose stores are based on RDBMS, Sqoop is the best option to transfer data into a Data Lake.
- Hadoop is a de-facto standard for storing massive data. Sqoop allows you to transfer data easily into HDFS from a traditional database with ease.
- Use Sqoop when performance is required, as it is able to split and parallelize data transfer.
- Sqoop has a concept of connectors and, if your enterprise...