AWS Big Data Blog

AWS and DuckLabs: Building the future of analytics together

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.

Best practices for scaling large consumer groups on Amazon MSK

Best practices for scaling large consumer groups on Amazon MSK

As consumer groups on Amazon MSK scale to thousands of members, the metadata record Kafka writes during rebalances can exceed the 1 MB limit and stall the group. Learn how to estimate metadata size, raise the topic-level limit safely, plan capacity, and apply complementary strategies for scaling large consumer groups.

How Moeve standardized dbt runs across data lakes with Amazon Athena

Moeve standardized how it runs dbt across multiple data lakes by building a centralized, serverless launcher on Amazon Athena, AWS Step Functions, AWS Fargate, Amazon DynamoDB, and Amazon EventBridge, cutting new-project onboarding from days to about 15 minutes while keeping compute close to the data and orchestration loosely coupled.

Connect Amazon SageMaker Unified Studio to Microsoft Power BI - Part 1: IAM Identity Center (IDC)-based domains

Connect Amazon SageMaker Unified Studio to Microsoft Power BI – Part 1: IAM Identity Center (IDC)-based domains

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 Amazon SageMaker Unified Studio to Microsoft Power BI - Part 2: IAM-based domains

Connect Amazon SageMaker Unified Studio to Microsoft Power BI – Part 2: IAM-based domains

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.

Scale down Kinesis Data Streams on-demand capacity with ODA warm throughput

Scale down Kinesis Data Streams on-demand capacity with ODA warm throughput

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.

How to migrate from Amazon CloudSearch to Amazon OpenSearch Serverless

How to migrate from Amazon CloudSearch to Amazon OpenSearch Serverless

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.

Accelerating Spark queries with Iceberg materialized views

Accelerating Spark queries with Iceberg materialized views

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.