Browsing: Iceberg

This post is co-written with Moshiko Ben Abu, Software Engineer at CyberArk. CyberArk achieved up to 95% reduction in case resolution…

As analytical workloads increasingly demand real-time insights, organizations need business data to enter the data lake immediately after generation. While…

In recent years, we’ve witnessed a significant shift in how enterprises manage and analyze their ever-growing data lakes. At the…

Apache Iceberg is an open table format that helps combine the benefits of using both data warehouse and data lake…

Hundreds of thousands of customers build artificial intelligence and machine learning (AI/ML) and analytics applications on AWS, frequently transforming data…

Amazon EMR runtime for Apache Spark offers a high-performance runtime environment while maintaining API compatibility with open source Apache Spark…

This post shows how Amazon EMR 7.12 can make your Apache Spark and Iceberg workloads up to 4.5x faster performance.…

This is a guest post by Thomas Cardenas, Staff Software Engineer at Ancestry, in partnership with AWS. Ancestry, the global…

Amazon Redshift supports querying data stored in Apache Iceberg tables managed by Amazon S3 Tables, which we previously covered as…