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, ...

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.

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

Simple economics—and the lack of legacy deployments in the cloud—led many cloud-centric organizations naturally to land their data in services such as S3. In effect, these organizations developed an ...

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 ...

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

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.

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 ...

At QCon San Francisco 2016, Neha Narkhede presented “ETL is Dead; Long Live Streams”, and discussed the changing landscape of enterprise data processing.

A good ETL tool allows for seamless data sourcing from a variety of files, databases, and cloud sources, thereby providing flexibility to any organization (a business, firm, not-for-profit, etc.) that ...