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

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 ...

Incorta bypasses traditional ETL bottlenecks - delivering analytics and AI-ready data from complex ERPs, directly to DatabricksFOSTER CITY, Calif., June 18, 2025 (GLOBE NEWSWIRE) -- Incorta, the ...

The AI-driven ETL pipeline dynamically adjusts data extraction, transformation, and loading processes, resulting in significant improvements in data integration performance.

The ETL frameworks Kishore Ande implemented ensured not only operational efficiency but also data quality—a critical prerequisite for advanced analytics and, eventually, artificial intelligence ...

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 ...

Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load ...

Many IT professionals say the data transformation tool ETL hinders companies’ ability to do real-time analytics, and they are looking for alternatives.

ETL connector company AirByte today announced a free connector program making 200 data connectors free to use on its platform.

ETL is hard because data is messy. There is no such thing as clean data, and even the most common attributes have a dizzying array of acceptable formats: “Sat Jan 22 10:37:13 PST,” “2014-01-22T1837:13 ...