Data migration

Data migration involves transferring millions of data units from the existing database to a new system to boost productivity and reduce storage costs with the upgraded applications. Modern businesses powered by big data should follow a well-structured process to move data from inputs to the data lake, from the data warehouse to any data mart, or to migrate data from one repository to another without dealing with a data breach.

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Database migration means moving your data from one platform to another.

By understanding the underlying JDBC APIs provided by Spark, we can develop our own notebooks using Databricks, control the flow, and take advantage of the lightning speed to extract data from source DMBS. The post Data migration from on-prem to cloud at scale using Databricks appeared first on Analytics India Magazine.

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