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 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 ...

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 ...

Mention ETL (Extract, Transform and Load) and eyes glaze over. The thought goes: “That stuff is old and meant for clunky enterprise data warehouses. What does it have to do with my ...

As you will see in this chapter, companies use SQL Server for many types of applications and on most tiers now. Gone are the days when you would second guess yourself choosing to use SQL Server over a ...

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 ...

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 ...