If you’re considering using a data integration platform to build your ETL process, you may be confused by the terms data integration and ETL. Here’s what you need to know about these two processes.

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Data ingestion and ETL are often used interchangeably. But, they’re not the same thing. Here’s what they mean and how they work. Today’s businesses have increased the amount of data they use in their ...

The Cloud ETL (Extract, Transform, Load) Tool Market was valued at USD 2.8 billion in 2024 and is projected to reach USD 10.5 billion by 2033, exhibiting a CAGR of 16.4% from 2026 to 2033. This ...

Hightouch, a platform designed to help enterprises synchronize their customer data from a data warehouse to their CRM, marketing, and dozens of other business tools, has raised $12.1 million in a ...

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow. BlazingSQL is a GPU-accelerated SQL engine built on top of ...