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 ...

What Is Etl And Why Is It Important? The ETL process (Extract, Transform, Load) is one of those processes that help extract data from different academic sources, transform it, and then load it into a ...

What Is Etl Process In Business Intelligence? A data warehouse or data store (in business intelligence) is a repository or data store that holds data extracted from one or more data sources, ...

Ab initio graphs represent ETL process in ab initio and are formed by components, data streams (flow) and parameter. This provides an easy to use front-end application for designing ETL graphs.

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs.

Programming and scripting frameworks allow complex ETL jobs to be deployed and executed in a distributed manner. Rapid improvements in interactive SQL tools make Hadoop an ideal choice for a low cost ...

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

Joey on SQL Server A Deep Dive into SQL Server 2022's Query Performance Features, Part 1 An update to the cardinality estimator feature in SQL Server 2022 will be one of the biggest changes to the ...

Queplix Corp., a provider of data virtualization solutions, has announced two new product families to bring the benefits of data virtualization to ETL (extract, transform and load). According to ...