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 ...

BigQuery vs Snowflake: Which ETL tool is best? Your email has been sent ETL tools can help you gain more actionable insights from your data sets across multiple sources. Read this comparison of ...

Oracle has announced the general availability of Oracle Warehouse Builder 10g Release 2, the database design and Extraction, Transformation and Load (ETL) tool that helps customers manage the life ...

The current generation of ETL software has wide access to the connectors and actions to perform data loads, orchestrations, and transformations. Actions in the managed ETL solutions are sufficient ...

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 ...

Automating "pre-ETL" processes helps to eliminate the costly, error-prone, and resource-intensive efforts of discovery and mapping of unknown data sources. Organizations should not have to rely on an ...

Data lake ETL platforms are available in a full range of options – from open-source to managed solutions to custom-built. Whichever tool you select, it’s important to differentiate data lake ETL ...

Read this feature comparison of popular ETL software solutions Stitch and Fivetran. Automation, compliance, and more features are explored.

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.

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