Category: Analytics

AWS Summit season starts this week! These free events are now rolling out worldwide, bringing our cloud computing community together to connect, collaborate, and learn. Whether you prefer joining us online or in-person, these gatherings offer valuable opportunities to expand your AWS knowledge. I will be attending the Summit in Paris this week, the biggest […]

Today, I’m happy to announce HAQM Q Developer support for HAQM OpenSearch Service, providing AI-assisted capabilities to help you investigate and visualize operational data. HAQM Q Developer enhances the OpenSearch Service experience by reducing the learning curve for query languages, visualization tools, and alerting features. The new capabilities complement existing dashboards and visualizations by enabling […]

As we celebrate International Women’s Day (IWD) this March, I had the privilege of attending the ‘Women in Tech’ User Group meetup in Shenzhen last weekend. I was inspired to see over 100 women in tech from different industries come together to discuss AI ethics from a female perspective. Together, we explored strategies such as […]

Thanks to everyone who joined us for the fifth annual AWS Pi Day on March 14. Since its inception in 2021, commemorating the HAQM Simple Storage Service (HAQM S3) 15th anniversary, AWS Pi Day has grown into a flagship event highlighting the transformative power of cloud technologies in data management, analytics, and AI. This year’s […]

AWS Pi Day, an annual event commemorating the launch of HAQM 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 HAQM Bedrock IDE.

HAQM SageMaker Unified Studio is a single data and AI development platform that brings data together with analytics and AI/ML tools, including HAQM Bedrock and HAQM Q Developer, to streamline analytics and AI application development across virtually any use case.

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

Find solutions to your most critical business challenges with ease. HAQM Q in QuickSight enables business users to perform complex scenario analysis up to 10x faster than spreadsheets.