Above: Hightouch: Getting data from the warehouse to business apps At its most basic level, reverse ETL is all about copy-and-pasting data between tables.

ETL (Extract, Transform and Load) is a key, and very complicated, component of a data management strategy. This high-level checklist of the most central issues will help you get started with this ...

When describing Reverse ETL, Simon begins by defining ETL as an integration process that synchronizes data from multiple sources into a single destination, such as a data warehouse.

Learn the key differences between data integration and ETL in this guide, which provides their side-by-side comparison.

ETL (extract, transform, load) migration is often treated as an afterthought when companies plan the migration of their on-prem data warehouses and data lakes to the cloud.

Use this comprehensive comparison between data ingestion and ETL to explore data ingestion and ETL and their differences.

Fivetran is buying Census, which develops its Reverse ETL platform for making prepared, trusted data in data warehouse systems available for operational and AI applications.