![]() “Data is inherently dynamic, and harnessing it to its full potential requires an end-to-end data strategy that can scale with a customer’s needs and accommodate all types of use cases-both now and in the future,” said Swami Sivasubramanian, vice president of Databases, Analytics, and Machine Learning at AWS. To learn more about unlocking the value of data using AWS, visit /data. Today’s announcement helps customers get the most out of their data on AWS by empowering them to access the right tools for their data workloads, operate at scale, and increase availability. Finally, Amazon Redshift now offers support for a high availability configuration across multiple AWS Availability Zones (AZs). Additionally, AWS announced a new capability for AWS Glue to automatically manage data quality across data lakes and data pipelines. ![]() These new capabilities for Amazon DocumentDB (with MongoDB compatibility), Amazon OpenSearch Service, and Amazon Athena make it easier for customers to run high-performance database and analytics workloads at scale. company (NASDAQ: AMZN), today announced five new capabilities across its database and analytics portfolios that make it faster and easier for customers to manage and analyze data at petabyte scale. LAS VEGAS-(BUSINESS WIRE)- At AWS re:Invent, Amazon Web Services, Inc. Amazon DocumentDB Elastic Clusters scales customers’ document workloads to support millions of writes per second and store petabytes of dataĪmazon OpenSearch Serverless helps customers run search and analytics workloads without having to configure, scale, or manage underlying infrastructureĪmazon Athena for Apache Spark enables customers to get started with interactive analytics using Apache Spark in less than a second, instead of minutesĪWS Glue Data Quality cuts time for data analysis and rule identification from days to hours by automatically measuring, monitoring, and managing data quality in data lakes and across data pipelinesĪmazon Redshift now supports a high availability configuration across multiple AWS Availability Zones
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