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.

Katta’s expertise in optimizing ETL workflows and implementing data quality frameworks can serve as a blueprint for successful data transformation initiatives.

Microsoft first truly disrupted the ETL marketplace with the introduction of SQL Server Integration Services (SSIS) back with the release of SQL Server 2005. Microsoft has upped the ante yet again by ...

Extract, transform, load (ETL) is the process of extracting data from various sources, transforming it through various methods, and loading it into a data warehouse or data lake.

Learn about extract, transform, load, including the benefits, drawbacks, and top tools, in this comprehensive guide. Extract, transform, load is a process in data migration projects that involves ...

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

An ETL Example Consider the classic example of key transformation. The application database uses a customer_id to index into the customer table, while the CRM system has the same customer referenced ...

With this approach, you can focus efforts on the data warehouse/data lake migration effort, along with repointing the ETL pipelines, thereby minimizing the complexity of the overall migration.

ETL is giving way to ELT. Why does it matter? Because data preparation remains one of the toughest obstacles that a data-aware organization must overcome. Whether it's a data lake, a cloud data ...