The current generation of ETL software has wide access to the connectors and actions to perform data loads, orchestrations, and transformations. Actions in the managed ETL solutions are sufficient ...

Reverse ETL tools focus on customer data and are best used when combining data across websites, digital products, and cloud applications.

Global software house Microsoft is making big data the focus of SQL Server 2019, set for release later this year. A key part is data virtualisation, eliminating complex ETL processes. Microsoft ...

Data lake ETL platforms are available in a full range of options – from open-source to managed solutions to custom-built. Whichever tool you select, it’s important to differentiate data lake ETL ...

Hightouch helps enterprises sync customer data between a warehouse and their CRM, marketing platform, and dozens of other business tools.

In 2021, ETL tools are a commodity with the capability baked into many data platforms. However, these capabilities still largely address an on-premises ETL requirement.

Understanding the complexities of ETL for data management Data is critical to the success of any business, but it’s in the ETL tools where a company can unlock the true potential of its data.

Commercial ETL tools couldn't support the information flows Humana needed for analytic modeling, so the company built its own.

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.

Data ingestion and ETL are often used interchangeably. But, they're not the same thing. Here's what they mean and how they work.