Sqoop is a tool offered by the Apache foundation that is used commonly in the Big Data world to import-export millions of records between heterogeneous relational databases (RDBMS) and Hadoop Distributed File System (HDFS). This data transfer can lead to varying load times ranging from a couple of minutes to multiple hours. This scenario is when Data engineers worldwide look under the hood to fine-tune settings. The goal of performance tuning is to get more data loaded in a shorter thus time increasing efficiency and lessening the chance of data loss in case of network timeouts.

In General, performance tuning in Sqoop can be achieved by:

• Controlling Parallelism
• Controlling Data Transfer Process

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