News

AWS upgraded its SageMaker platform to offer more observability and streamlined functions to make AI model inference and training easier.
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 ...
Data analytics is the process of analyzing data trends to gain knowledge and insight for better decision making. Written by eWEEK content and product recommendations are editorially independent ...
Big Data and Analytics; Databricks vs. Redshift: Data Platform Comparison. Both Databricks and AWS Redshift are well-respected and highly-rated data platforms.
The next-generation of AWS SageMaker will make accessing data assets and wide-ranging tools to make the most of them faster than ever. ... big data processing, and streaming analytics) ...
Essentially, AWS does all of this itself, and it’s a big benefit because building data pipelines can be a time-consuming and error-prone process that creates major headaches, even for the ...
AWS customers choose from a wide variety of purpose-built analytics services to derive maximum value from their organizations’ data, including Amazon EMR for processing vast amounts of ...
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 ...
On the data processing, integration and analytics side, the AWS portfolio includes Amazon Athena for SQL queries of S3 data, Amazon Redshift for data warehousing, AWS Lake Formation for data lakes ...
GE Vernova and Amazon Web Services (AWS) announced the signing of a strategic framework agreement aimed at scaling AWS’s data centers and collaborating to address increasing global energy demand ...