Category: Storage

AWS Pi Day, an annual event commemorating the launch of Amazon S3 in 2006, has evolved from celebrating cloud storage milestones to showcasing cutting-edge developments in data management, analytics, and AI. In 2025, we’re focused on unified data foundation for analytics and AI through new capabilities like S3 Tables, SageMaker Unified Studio, and Amazon Bedrock IDE.

Amazon S3 Tables integration with SageMaker Lakehouse enables unified access to S3 Tables data from AWS analytics engines like Amazon Athena, Redshift, EMR, and third-party query engines, to build securely and manage centrally.

Last week, I had an amazing time attending AWS Community Day Thailand in Bangkok. This event came at an exciting time, following the recent launch of the AWS Asia Pacific (Bangkok) Region. We had over 300 attendees and featured 15 speakers from the community, including an AWS Hero and 4 AWS Community Builders who shared […]

Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to Amazon SageMaker Lakehouse and Amazon Redshift.

Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.

Unlock S3 data insights effortlessly with AWS’ rich metadata capture; query objects by key, size, tags, and more using Athena, Redshift, and Spark at scale.

Amazon S3 Tables optimize tabular data storage (like transactions and sensor readings) in Apache Iceberg, enabling high-performance, low-cost queries using Athena, EMR, and Spark.

Delivering NAS capabilities with automatic data tiering among frequently accessed, infrequent, and archival storage tiers, Amazon FSx Intelligent-Tiering offers high performance up to 400K IOPS, 20 GB/s throughput, seamless integration with AWS services.