企业数据集成面临ETL与ELT模式选择难题。本文结合业务场景，分析两者在性能、实时性、成本等方面的差异，强调应根据数据规模与架构需求合理选型。ETLCloud支持双模式切换，提供多源同步、零代码开发与实时处理能力，助力企业灵活构建高效、可控的数据集成 ...

Microsoft first truly disrupted the ETL marketplace with the introduction of SQL Server Integration Services (SSIS) back with the release of SQL Server 2005. Microsoft has upped the ante yet again by ...

SQL is not confined to the traditional relational database systems (RDBMS) and data warehousing solutions. SQL-on-Hadoop engines run on top of distributed file systems to help process big data and ...

ETL jobs can be written in a programming language like Java, in Oracle’s PL/SQL or Teradata’s SQL, using platforms like Informatica, Talend, Pentaho, RedPoint, Ab Initio or dozens of others.

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.

那就是写 SQL、ETL 取数，把这种在业务系统中规范的不可分析的、或不规范的不可分析的变成规范的、可分析的数据格式 —— 结果表。

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.

ETL (Extraction, Transformation, and Loading) in SQL Server is especially useful when data from the source systems does not conform to the business rules. Before loading all the data captured into a ...

Learn the key differences between data integration and ETL in this guide, which provides their side-by-side comparison.

Amazon made a couple of announcements today at AWS re:Invent that move companies toward a future without ETL.