It’s hard to imagine data warehousing without ETL (extract, transformation, and load). For decades, analysts and engineers have embraced no-code ETL solutions for increased maintainability. Does this ...

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 ...

As I pointed out in my recent article, How the ETL Bottleneck Will Kill Your Business, companies must become ETL masters and learn to generate and operate a growing portfolio of ETL jobs if they are ...

Microsoft has made SQL Server 2025 generally available. The latest version of the database focuses on built-in AI functionality and developer ...

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 ...

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

So I have been tasked with moving a fairly large amount (2.5 million rows) of highly flat denormalized data from Oracle 11g to MongoDB. The data is highly repetive in that a lot of data repeats itself ...

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 ...