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 ...

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

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 ...

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 analytics company, Hadapt, known for its data platform which merges SQL directly into Apache Hadoop, introduced a new “Schemaless SQL” addition to their technology portfolio which they say can be ...

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 ...