In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes.

As data sizes have grown over the last decade, so has the amount of time it takes to run ETL processes to support the myriad downstream workloads. A decade ago, most people were only thinking about ...

ETL is giving way to ELT. Why does it matter? Because data preparation remains one of the toughest obstacles that a data-aware organization must overcome. Whether it's a data lake, a cloud data ...

SAN FRANCISCO, Dec. 01, 2023 (GLOBE NEWSWIRE) -- Voltron Data, the company accelerating modular and composable data analytics systems, today introduced Theseus, a state-of-the-art distributed ...

SANTA CLARA, CA--(Marketwired - September 24, 2015) - (CASSANDRA SUMMIT 2015) -- Cask, the pioneer empowering developers to build Big Data applications on NoSQL and Hadoop platforms, today ...

It has raised as much as $182 million across multiple rounds, and also expanded into Europe with GDPR-complaint data processing. The ETL connector space is a competitive area that includes other ...

SAN FRANCISCO, Oct. 22, 2019 (GLOBE NEWSWIRE) -- StreamSets®, provider of the industry’s first DataOps data integration platform, today announce ...

Marketplace helps customers, partners and ISV's publish and access Shared Jobs to accelerate time to insights DENVER and MANCHESTER, England, July 7, 2020 /PRNewswire/ -- Matillion, the leading ...