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 says ...

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 ...

Microsoft has dabbled in the ETL (extract-transform-load) marketplace for a long time, in fact, almost 2 decades. Way back in the day, SQL Server shipped with a command-line tool known as the Bulk ...

IRI adds a critical layer of protection to help organizations secure sensitive information embedded in SQL scripts across ...

In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes. This can lead to ...

Data Integration vs ETL: What Are the Differences? Your email has been sent If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data ...

ETL, according to the ETL definition, is nothing more than extraction, transformation, and loading of data. This is a critical step in data warehousing. An easy way to understand this is to look at ...

Data Ingestion vs. ETL: What Are the Main Differences? Your email has been sent Data ingestion and ETL are often used interchangeably. But, they're not the same thing. Here's what they mean and how ...