What is Data Integration?

Data integration is the process used to combine data from disparate sources into a unified view that can provide valuable and actionable information. It has become essential in recent years as both the volume and sources of data continue to increase rapidly and data sharing requirements grow within and between organizations.

How Does It Work?

The integration process is traditionally referred to as Extract, Transform, and Load (ETL) which exports data from selected sources, modifies that data using rules, merges, or other processes, and then imports the modified data into a destination database.

Snowflake and Integration

With Snowflake for Collaboration, long ETL, FTP, or EDI integration cycles often required by traditional data marts are eliminated. In addition, Snowflake’s comprehensive data integration tools list includes leading vendors such as Informatica, SnapLogic, Stitch, Talend, and many more.