Thanks to everyone who joined us for the fifth annual AWS Pi Day on March 14. Since its inception in 2021, commemorating the Amazon Simple Storage Service (Amazon 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 virtual event featured in-depth discussions with Amazon Web Services (AWS) product teams showcasing our continued innovation in helping customers build robust data foundations for analytics and AI workloads. Missed the live event? You can still access all content on-demand at the event page. Whether you’re developing data lakehouses, training AI models, creating generative AI applications, or optimizing analytics workloads, the shared insights will help you…
Category: AWS
Reposts from Amazon Web Services (AWS).
AWS Pi Day 2025: Data foundation for analytics and AI
Every year on March 14 (3.14), AWS Pi Day highlights AWS innovations that help you manage and work with your data. What started in 2021 as a way to commemorate the fifteenth launch anniversary of Amazon Simple Storage Service (Amazon S3) has now grown into an event that highlights how cloud technologies are transforming data management, analytics, and AI. This year, AWS Pi Day returns with a focus on accelerating analytics and AI innovation with a unified data foundation on AWS. The data landscape is undergoing a profound transformation as AI emerges in most enterprise strategies, with analytics and AI workloads increasingly converging around a lot of the same data and workflows. You need an easy way to access all…
Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available
Today, we’re announcing the general availability of Amazon SageMaker Unified Studio, a single data and AI development environment where you can find and access all of the data in your organization and act on it using the best tool for the job across virtually any use case. Introduced as preview during AWS re:Invent 2024, my colleague, Antje, summarized it as: SageMaker Unified Studio (preview) is a single data and AI development environment. It brings together functionality and tools from the range of standalone “studios,” query editors, and visual tools that we have today in Amazon Athena, Amazon EMR, AWS Glue, Amazon Redshift, Amazon Managed Workflows for Apache Airflow (Amazon MWAA), and the existing SageMaker Studio. Here’s a video to see Amazon SageMaker Unified Studio in…
Amazon S3 Tables integration with Amazon SageMaker Lakehouse is now generally available
At re:Invent 2024, we launched Amazon S3 Tables, the first cloud object store with built-in Apache Iceberg support to streamline storing tabular data at scale, and Amazon SageMaker Lakehouse to simplify analytics and AI with a unified, open, and secure data lakehouse. We also previewed S3 Tables integration with Amazon Web Services (AWS) analytics services for you to stream, query, and visualize S3 Tables data using Amazon Athena, Amazon Data Firehose, Amazon EMR, AWS Glue, Amazon Redshift, and Amazon QuickSight. Our customers wanted to simplify the management and optimization of their Apache Iceberg storage, which led to the development of S3 Tables. They were simultaneously working to break down data silos that impede analytics collaboration and insight generation using the…