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  1. What is Apache Spark ™? Apache Spark ™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. Simple. Fast. Scalable. Unified. Key features. Batch/streaming data.

    • Examples

      Apache Spark ™ examples. This page shows you how to use...

    • Download

      Spark Docker Container images are available from DockerHub,...

    • Graphx

      GraphX is developed as part of the Apache Spark project. It...

    • FAQ

      Spark Streaming provides a high-level abstraction called...

    • Documentation

      Apache Spark is a unified analytics engine for large-scale...

  2. en.wikipedia.org › wiki › Apache_SparkApache 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.

    • 3.4.1 (Scala 2.13), / June 23, 2023; 3 months ago
  3. Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, pandas API on Spark for pandas workloads ...

  4. Apache Spark is a lightning-fast, open-source data-processing engine for machine learning and AI applications, backed by the largest open-source community in big data. Apache Spark (Spark) easily handles large-scale data sets and is a fast, general-purpose clustering system that is well-suited for PySpark.

  5. Spark is a powerful open-source unified analytics engine built around speed, ease of use, and streaming analytics distributed by Apache. Click here and try for free.

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