At this point, iPaaS (Integration Platform as a Service) is quietly becoming the core of many enterprises' integration ...

We can finally focus on the process of transforming the various sources of data. Here again, multiple technologies exist: MapReduce, Cascading and Pig are some of the most common used frameworks for ...

Now Octopai is bringing its unique approach to deconstructing ETL flows and finding the source of data discrepancies to Azure Data Factory, the popular ETL service in Microsoft’s cloud. Amnon Drori, ...

StreamSets updates ETL to the cloud data pipeline Real-time streaming has moved the center of gravity for data transformation off the cluster to serverless data pipelines.

Hevo Data is a no-code data pipeline that simplifies the ETL process and enables users to load data from any data source, including software-as-a-service (SaaS) applications, databases, streaming ...

ETL enables putting data to work and maximizing its value. Generally, the ETL process has worked well, and it has been improved over time.

Airbyte raises $5.2 million to democratize data integration using open source tools readily accessible to data science teams.

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.

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 ...

A major theme at re:Invent 2022 was Amazon's efforts to ease data management, as AWS announced new ETL capabilities and features for collaboration, searching and cataloging.