Data integration

Data integration is a complex operation that involves several tasks – data discovery, ingestion, preparation, transformation, and replication. Data integration is the very first step in deriving insights from data so that data can be shared across the organization for collaboration and faster decision-making.

The data integration process is often iterative. Upon completing a particular iteration, we can query and visualize the data and make data-driven business decisions. For this purpose, we can use AWS services such as Amazon Athena, Amazon Redshift, and Amazon QuickSight, as well as some other third-party services. The process is often repeated until the right quality data is obtained. We can set up a job as part of our data integration workflow to profile the data obtained against a specific set of rules to ensure that it meets our requirements. For instance, AWS Glue DataBrew offers built-in capabilities to define data quality rules and allows us to...