Data warehousing tools gather data in a central repository for use by business units in business intelligence software. Snowflake and Amazon Redshift are both leading data warehousing software options ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Amazon’s security improvements for its AWS Redshift managed data warehouse service are welcome additions, says an expert. Loris Degioanni, chief technology officer at Sysdig, told InfoWorld that AWS’s ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Amazon Athena and Amazon Redshift are data warehouse software solutions. Compare features and more now. A data service can be a valuable asset for organizations that utilize big data and datasets from ...

Amazon Aurora zero-ETL integration with Amazon Redshift enables customers to analyze petabytes of transactional data in near real time, eliminating the need for custom data pipelines Amazon Redshift ...

The new instances unify warehouse and data lake queries in a single engine, aiming to reduce complexity and eliminate unpredictable Spectrum charges. AWS has released new Graviton-powered RG instances ...

TradeTalks covers AWS re:Invent 2023. Ippokratis Pandis, Vice President and Distinguished Engineer for DBS at AWS and Mike Weiss, AVP at Nasdaq, join Jill Malandrino on Nasdaq TradeTalks from AWS ...

Amazon Web Services (AWS) is doubling down on data management and has declared its bold vision to eliminate the need to extract, transform and load (ETL) data from source to data storage systems for ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...