Data warehousing, business intelligence, data analytics, and AI services are all coming together under one roof at Amazon Web Services. This unification of analytics and AI services is perhaps ...

Simplifying data management and analytics for enterprises is a big theme at this year’s AWS re:Invent conference, as Amazon announces new services and features targeted at easing extract ...

After introducing a number of new services for machine learning and data analytics on Tuesday, Amazon Web Services Inc. doubled down today with a host of new tools aimed at providing what one top ...

AWS today launched a new service that will help users inside an advertising or marketing organization share data with other employees inside their company or with outside partners, all without ...

AWS Vice President of Data and AI Swami Sivasubramanian said the convergence of AI and data analytics means that companies are reliant on “increasingly interconnected” data sources, hence the ...

At AWS re: Invent, Amazon Web Services, Inc., an Amazon.com, Inc. company, today announced the next generation of Amazon SageMaker, unifying the capabilities customers need for fast SQL analytics ...

“Today, more than one million data lakes are built on Amazon Simple Storage Service…allowing customers to centralize their data assets and derive value with AWS analytics, AI, and ML tools ...

AWS claims their internal benchmarking testing showed that Neptune is “80 times” faster than existing AWS solutions in finding insights in graph data and data lakes on S3. Amazon Neptune Analytics is ...

The new bucket type is S3 Table, for storing data in Apache Iceberg format. Iceberg is an open table format (OTF) used for storing data for analytics, and with richer features than Parquet alone.

Achieving AWS Data and Analytics Competency differentiates Precisely as an AWS Partner Network (APN) member by providing specialized software designed to help enterprises adopt, ...

Neptune Analytics is a fully managed service, meaning AWS “takes care of the infrastructure heavy lifting, enabling you to concentrate on problem-solving through queries and workflows.

Today, more than one million data lakes are built on Amazon Simple Storage Service (Amazon S3), allowing customers to centralize their data assets and derive value with AWS analytics, AI, and ML ...