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 ...

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

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 ...

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 ...

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.

SQL Integrated Services (SSIS) uses a drag-and-drop interface and strong data transformation capabilities to import data and integrate it with numerous software tools and platforms, including ...

Databricks said Delta Live Tables is the first ETL framework to combine both modern engineering practices and automatic infrastructure management.

Data analytics company, Hadapt, known for its data platform which merges SQL directly into Apache Hadoop, introduced a new “Schemaless SQL” addition to their technology portfolio which they say can be ...

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

These tools handle SQL, ETL, stored procedures and complex data pipelines, reducing manual effort and compressing migration timelines from years to months or even weeks.