Browsing: Apache

[ad_1] Spark 4.1 highlights at a glanceSpark Declarative Pipelines (SDP): A new declarative framework where you define datasets and queries,…

[ad_1] In recent years, we’ve witnessed a significant shift in how enterprises manage and analyze their ever-growing data lakes. At…

[ad_1] Apache Spark Connect, introduced in Spark 3.4, enhances the Spark ecosystem by offering a client-server architecture that separates the…

[ad_1] Apache Iceberg is an open table format that helps combine the benefits of using both data warehouse and data…

[ad_1] Hundreds of thousands of customers build artificial intelligence and machine learning (AI/ML) and analytics applications on AWS, frequently transforming…

[ad_1] Amazon EMR runtime for Apache Spark offers a high-performance runtime environment while maintaining API compatibility with open source Apache…

[ad_1] The Amazon EMR runtime for Apache Spark is a performance-optimized runtime for Apache Spark that is 100% API compatible…

[ad_1] This post shows how Amazon EMR 7.12 can make your Apache Spark and Iceberg workloads up to 4.5x faster…

[ad_1] Amazon SageMaker Unified Studio introduces support for running interactive Apache Spark sessions with your corporate identities through trusted identity…

[ad_1] With the Amazon EMR 7.10 runtime, Amazon EMR has introduced EMR S3A, an improved implementation of the open source…