AWS Big Data Blog

Today we are announcing that Amazon has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind the open-source analytical database DuckDB. We expect the transaction to close shortly, subject to customary closing conditions. Hannes Mühleisen and Mark Raasveldt, who created DuckDB and co-founded DuckLabs, will continue leading the team and the open-source project’s technical direction as part of AWS. The DuckDB open-source project will also continue to be driven by the DuckLabs team, remain open source under the independent Foundation (the non-profit that oversees DuckDB), and available under the MIT license as it does today.

Connect Microsoft Power BI directly to governed data in Amazon SageMaker Unified Studio using new authentication modes in the Amazon Athena ODBC driver, with no third-party ODBC-JDBC bridge. Part 1 covers IAM Identity Center (IDC)-based domains with both DSN-based and DSN-less connection methods.

Connect Microsoft Power BI directly to governed data in Amazon SageMaker Unified Studio using the Amazon Athena ODBC driver. Part 2 covers IAM-based domains with SageMakerIam authentication, including AWS IAM Identity Center administrator setup, for both DSN-based and DSN-less connection methods.

Learn how United Airlines uses AWS Glue Data Catalog federation to query Databricks Unity Catalog data directly from Amazon Redshift Serverless without duplicating data, using resource links and AWS Lake Formation for governance.

Amazon Kinesis Data Streams now supports scaling down ingest capacity for on-demand Advantage streams with warm throughput. Learn how the scale-down works, how to monitor stream behavior with Amazon CloudWatch, and best practices for releasing excess capacity after transient traffic bursts.

Learn how to migrate an Amazon CloudSearch domain to Amazon OpenSearch Serverless: assess your configuration, create a collection with explicit index mappings, convert your documents and queries to the OpenSearch query DSL, configure security, load data with Amazon OpenSearch Ingestion, and validate before cutover.

Accelerate slow, repetitive Apache Spark analytical queries on Apache Iceberg tables without rewriting any SQL. This post shows how automatic query rewrite in Amazon EMR and AWS Glue uses Iceberg materialized views in the AWS Glue Data Catalog to transparently substitute matching query plans, and how to design materialized views for the best speedup.

AWS is announcing the AWS Data Analytics plugin for the new Data agent in ChatGPT Work. Teams can ask questions in natural language, analyze governed data across their Amazon Redshift data warehouse and data lakes, and build shareable dashboards, all from a conversation in ChatGPT Work.

AWS Glue 6.0 introduces Spark Declarative Pipelines. In this post, you build a single declarative AWS Glue 6.0 job that turns raw order records into validated, aggregated tables through a bronze, silver, and gold sequence, without writing any orchestration logic.

On September 1, Gartner published its Magic Quadrant for Strategic Cloud Platform Services (SCPS). Amazon Web Services (AWS) is the longest-running Leader in this Magic Quadrant, with Gartner naming AWS a Leader for the sixteenth consecutive year.

In the report, Gartner once again placed AWS highest on the Ability to Execute axis. We believe this reflects our commitment to help customers innovate faster, operate more securely, and build at any scale, particularly as agentic AI drives the need for a data foundation that is production-ready.

Real-time data analytics is transforming how streaming platforms serve their audiences. Learn how Sony LIV built a comprehensive, real-time streaming analytics solution on AWS using Amazon Kinesis Data Streams, Amazon EMR, and Apache Iceberg.