Learn about Apache Spark, a powerful distributed computing framework for processing large-scale data sets. Learn about Spark architecture, programming models, and data processing techniques. Whether you're a data engineer, data scientist, or Spark enthusiast,  leverage Apache Spark for big data analytics.

Apache Spark

Amazon EMR 7.1 now supports Trino 435, Python 3.11

Amazon EMR Serverless announces detailed performance monitoring of Apache Spark jobs with Amazon Managed Service for Prometheus

Unity Catalog Lakeguard: Industry-first and only data governance for multi-user Apache™ Spark clusters

Functional Elegance: Making Spark Applications Cleaner with the Cats Library

How Data Cloud Processes One Quadrillion Records Monthly

Subqueries and CTEs in Spark: Enhancing Data Analysis and Manipulation

Introduction to Apache Spark | Part 2

What is Apache Spark? The big data platform that crushed Hadoop

Upstage AI Introduces Dataverse for Addressing Challenges in Data Processing for Large Language Models

User-defined aggregation functions in Spark