Apache Spark on Ubuntu 22.04

This Apache Spark image is provided & maintained by Cloud Infrastructure Services. Apache Spark is a powerful open-source analytics engine specifically designed for large-scale data processing. Created to handle big data workloads with speed and efficiency, Spark processes data in-memory and across distributed systems. With native support for machine learning, SQL, streaming data, and more, Spark is an essential tool in modern data engineering and analytics.

Apache Spark Features

• Unified Analytics Engine: Supports batch and real-time data processing within a single platform.
• In-Memory Computing: Processes data in memory for faster performance, minimizing disk read/writes.
• Spark SQL: Allows querying structured data via SQL or the DataFrame API, with support for Hive and JDBC.
• Machine Learning Library (MLlib): Offers scalable machine learning algorithms for tasks like classification, regression, and clustering.
• GraphX: A library for graph processing, enabling social network analysis and graph-based computations.
• Spark Streaming: Processes real-time data streams, integrating seamlessly with Apache Kafka, Flume, and other systems.
• Structured Streaming: Provides an easy-to-use API for real-time stream processing with exactly-once guarantees.
• Language Support: Supports multiple languages, including Python, Scala, Java, and R, enhancing accessibility for diverse teams.
• Extensibility: Easily integrates with Hadoop, HDFS, Cassandra, and various data sources.
• Resilient Distributed Datasets (RDDs): Offers fault tolerance for distributed data collections, a foundational feature for Spark’s reliability.
• Distributed Computing: Distributes tasks across multiple nodes, optimizing speed and reliability for massive datasets.
• Cluster Management: Compatible with various cluster managers, such as YARN, Mesos, and Kubernetes.

Apache Spark is an alternative to traditional big data processing platforms like Hadoop MapReduce, Apache Fink, Apache Storm, Dask, Presto.

Getting started documentation and support from: Apache Spark on Azure

Disclaimer: Apache Spark™ is a trademark of the Apache Software Foundation (ASF) and is licensed under Apache License 2.0. This image is provided & maintained by Cloud Infrastructure Services & is not affiliated with, endorsed by, or sponsored by any company. Any trademarks, service marks, product names, or named features are assumed to be the property of their respective owners. The use of these trademarks does not imply any relationship or endorsement unless explicitly stated.