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 ...

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 ...

Statement 1: DTS is primarily used for real-time data replication.

Extraction, transformation and load (ETL) became a familiar concept in the 1990s, when data warehousing became a well known business intelligence (BI) concept. The advent of the web, and the vast ...

Results-driven data professional with extensive experience in designing and delivering end-to-end Data Warehouse solutions. Skilled in building robust ETL pipelines, developing scalable database ...

通过本文你将了解到： 1，智能BI的误区有哪些 2，BI开发人员应避免的操作方式 3，哪种情况下BI 前端可视化报表工具可以解决一切分析问题 本文由36氪企服点评专家团吕品原创。 BI 工具不是可以直接拖拉拽取数吗 ？为什么还要写 SQL 取数 ? 这是很多初次接触 ...

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 ...