传统 ETL（Extract-Transform-Load）清洗聚焦于结构化数据（如数据库表、Excel 表格），核心目标是 “保证数据符合业务系统的存储与计算规范”，本质是 “数据标准化” 过程。其核心逻辑围绕 “字段级校验” 展开，例如： ...

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 ...

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 ...

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 ...

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 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 ...

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 ...