SQL Server provides different options for ETL, such as Integration Services (SSIS), Azure Data Factory, SQL Server Agent, and T-SQL scripts. Each tool has its own advantages and disadvantages ...

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.

Erfahren Sie einige Tipps und Tricks zum Auswählen, Entwerfen, Optimieren, Testen und Überwachen Ihrer ETL-Prozesse mit SQL Server, einem beliebten relationalen Datenbanksystem.

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 ...

This project builds a modern data warehouse powered by SQL Server, Python-driven ETL pipelines, and Docker containers. Designed around the Medallion Architecture, data flows seamlessly from raw ...

Azure Synapse Link for SQL: Previously, moving data from on-premises databases, like SQL Server, to Synapse required using extract, transform, and load (ETL). Configuring and running an ETL pipeline ...

MarkLogic's new version of its database is designed to help companies deal with growing volumes of unstructured data.