Next, I will start with the ETL process and application scenarios to explain why companies are willing to invest resources in ...

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 ...

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 ...

In the context of rapid globalization, businesses are increasingly facing the need for cross-border data transmission. Different countries and regions adopt various time zones, date formats, and time ...

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 ...

Learn how to work with streaming data using Microsoft Fabric, KQL, and Real-Time Intelligence in this full-day Live! 360 ...

One of the key assumptions of the current business environment is that competence in using data to improve your business operations can be a source of competitive advantage. It doesn’t matter if you ...

Amazon made a couple of announcements today at AWS re:Invent in Las Vegas that helps move data management toward a future without the need for extract transform load, or ETL. ETL is the bane of every ...

Explore how Neo4j’s Infinigraph unifies analytical and transactional data, removing ETL bottlenecks to power next-gen GenAI ...