AWS Big Data Blog

Category: Announcements

Deliver real-time data to streaming tables for Apache Iceberg with Amazon Kinesis Data Streams

Deliver real-time data to streaming tables for Apache Iceberg with Amazon Kinesis Data Streams

Amazon Kinesis Data Streams now supports streaming tables, a fully managed capability that continuously delivers your streaming data as queryable Apache Iceberg tables on Amazon S3 Tables. Streaming tables reduce data delivery costs to S3 Tables by up to 50% compared to self-managed alternatives and reduce downstream query costs by up to 30% through intelligent inline compaction that eliminates the small file problem. You need no custom applications, no self-managed compute, and no operational overhead.

Integrate Amazon Redshift and IAM Identity Center with enhanced VPC routing

Integrate Amazon Redshift and IAM Identity Center with enhanced VPC routing

Amazon Redshift now supports AWS IAM Identity Center authentication on clusters and workgroups that use enhanced VPC routing. Create two interface VPC endpoints to give your users single sign-on with their corporate credentials while keeping all authentication traffic on the AWS private network.

Build with geospatial and variant types in Iceberg v3 on AWS Glue 6.0

Build with geospatial and variant types in Iceberg v3 on AWS Glue 6.0

AWS Glue 6.0 with Apache Spark 4.1 adds support for Apache Iceberg v3: native geospatial types, nanosecond-precision timestamps, the VARIANT type, and DEFAULT column values. This post builds a connected vehicle fleet telemetry pipeline that uses all four in a single Iceberg v3 table, from ingestion through spatial, nanosecond, and variant queries.

Migrate an OAuth-authenticated Apache Kafka cluster to Amazon MSK with MSK Replicator

Migrate an OAuth 2.0 authenticated Apache Kafka cluster to Amazon MSK with MSK Replicator

MSK Replicator now supports OAuth 2.0 (SASL/OAUTHBEARER) authentication to external Apache Kafka clusters. This post walks through the three supported grant types, how to configure Replicator for each, the network and TLS prerequisites that are commonly missed, and how to handle identity providers behind an additional federation layer.

Announcing in-place ZooKeeper-to-KRaft cluster upgrades for Amazon MSK

Announcing in-place ZooKeeper-to-KRaft cluster upgrades for Amazon MSK

Amazon MSK now supports in-place upgrades from ZooKeeper to KRaft metadata mode. You can modernize your existing cluster’s metadata management through the familiar version upgrade workflow, with no new cluster to provision and no data migration. This post covers the prerequisites and the step-by-step upgrade process.

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.

PythonOperator and BashOperator now available on Amazon Managed Workflows for Apache Airflow (Amazon MWAA) Serverless

PythonOperator and BashOperator Now Available on Amazon Managed Workflows for Apache Airflow (Amazon MWAA) Serverless

You can now use PythonOperator and BashOperator to run custom Python functions and shell scripts directly in the Amazon MWAA Serverless runtime, without provisioning additional infrastructure. This post walks through building a serverless pipeline that converts CSV files to JSON using a PythonOperator and verifies the output with a BashOperator.

GPU-accelerated Apache Spark with Amazon EMR and NVIDIA RTX PRO 4500 on Amazon EC2 G7 instances runs up to 3.7x faster

GPU-accelerated Apache Spark with Amazon EMR and NVIDIA RTX PRO 4500 on Amazon EC2 G7 instances runs up to 3.7x faster

Amazon EMR on EKS now runs Apache Spark up to 3.7x faster on Amazon EC2 G7 instances with NVIDIA RTX PRO 4500 Blackwell GPUs than on comparable CPU instances, with no changes to existing Spark code. See the TPC-DS benchmark results, the cost comparison, and how to get started.

Introducing AWS Glue 6.0 for faster and more cost-effective data integration

Introducing AWS Glue 6.0 for faster and more cost-effective data integration

AWS Glue 6.0 is now available, lowering AWS Glue pricing by 30%, adding an AWS optimized build of Apache Spark 4.1, and introducing Apache Iceberg V3 capabilities suitable for enterprise adoption. This post covers the key capabilities and performance benefits, with code examples to help you get started.