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 ...

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 ...

1Wählen Sie das richtige ETL-Tool SQL Server bietet verschiedene Optionen für ETL, z. B. Integration Services (SSIS), Azure Data Factory, SQL Server-Agent und T-SQL-Skripts.

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.

In the 1990’s they were called CASE tools. In the data world, the concept has existed ever since the first person had the idea of using SQL to generate SQL. Deploying a data-first strategy ...

This project demonstrates the design and implementation of a modern data warehouse using SQL Server and the Medallion Architecture (Bronze → Silver → Gold layers). It includes data ingestion, ...

ETL Pipeline Project This project is an end-to-end ETL (Extract, Transform, Load) pipeline that fetches user and post data from a public API, stages the raw data in PostgreSQL, transforms it using ...

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 ...