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Apache Spark™ - Unified Engine for large-scale data analytics
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Quick Start - Spark 3.5.1 Documentation - Apache Spark
This tutorial provides a quick introduction to using Spark. We will first introduce the API through Spark’s interactive shell (in Python or Scala), then show how to write applications in Java, Scala, and Python. To follow along with this guide, first, download a packaged release of Spark from the Spark website.
Apache Spark - Wikipedia
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance.
Overview - Spark 3.5.1 Documentation - Apache Spark
Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs.
Apache Spark: Introduction, Examples and Use Cases | Toptal®
A thorough and practical introduction to Apache Spark, a lightning fast, easy-to-use, and highly flexible big data processing engine.
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