Amazon EMR 7.1 runtime for Apache Spark and Iceberg can run Spark workloads 2.7 times faster than Apache Spark 3.5.1 and Iceberg 1.5.2
[ad_1] In this post, we explore the performance benefits of using the Amazon EMR runtime…
[ad_1] In this post, we explore the performance benefits of using the Amazon EMR runtime…
[ad_1] Moving and transforming data between databases is a common need for many organizations. Duplicating…
[ad_1] Amazon EMR on EC2 is a managed service that makes it straightforward to run…
[ad_1] This post is co-authored by Rajkumar Irudayaraj, Sr. Director of Product, Salesforce Data Cloud.…
[ad_1] Data is a key driver for your business. Data volume can increase significantly over…
[ad_1] This post is co-written with Sid Wray, Jade Koskela, and Adiascar Cisneros from SalesForce.…
[ad_1] The rapid adoption of software as a service (SaaS) solutions has led to data…
[ad_1] In February 2024, we announced the release of the Data Solutions Framework (DSF), an…
[ad_1] In the context of Retrieval-Augmented Generation (RAG), knowledge retrieval plays a crucial role, because…
[ad_1] Amazon Redshift, a warehousing service, offers a variety of options for ingesting data from…