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Apache Spark™ - Unified Engine for large-scale data analytics
https://spark.apache.org/
WEBSpark has a thriving open source community, with contributors from around the globe building features, documentation and assisting other users. Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
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Overview - Spark 3.5.1 Documentation - Apache Spark
https://spark.apache.org/docs/latest/
WEBApache 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.
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Quick Start - Spark 3.5.1 Documentation - Apache Spark
https://spark.apache.org/docs/latest/quick-start.html
WEBThis 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.
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Apache Spark - Wikipedia
https://en.wikipedia.org/wiki/Apache_Spark
WEBApache 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.
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Downloads | Apache Spark
https://spark.apache.org/downloads.html
WEBDownload Apache Spark™. Choose a Spark release: 3.5.1 (Feb 23 2024) 3.4.3 (Apr 18 2024) Choose a package type: Pre-built for Apache Hadoop 3.3 and later Pre-built for Apache Hadoop 3.3 and later (Scala 2.13) Pre-built with user-provided Apache Hadoop Source Code. Download Spark: spark-3.5.1-bin-hadoop3.tgz.
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GitHub - apache/spark: Apache Spark - A unified analytics engine …
https://github.com/apache/spark
WEBSpark 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 …
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Documentation | Apache Spark
https://spark.apache.org/documentation.html
WEBSpark 2.0.0 preview. The documentation linked to above covers getting started with Spark, as well the built-in components MLlib , Spark Streaming, and GraphX. In addition, this page lists other resources for learning Spark.
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What is Apache Spark? The big data platform that crushed Hadoop
https://www.infoworld.com/article/3236869/what-is-apache-spark-the-big-data-platform-that-crushed-hadoop.html
WEBApr 3, 2024 · Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning. By Ian Pointer. InfoWorld | Apr 3, 2024 ...
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What is Spark? - Introduction to Apache Spark and Analytics - AWS
https://aws.amazon.com/what-is/apache-spark/
WEBApache Spark is an open-source, distributed processing system used for big data workloads. It utilizes in-memory caching, and optimized query execution for fast analytic queries against data of any size. It provides development APIs in Java, Scala, Python and R, and supports code reuse across multiple workloads—batch processing, interactive ...
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Examples | Apache Spark
https://spark.apache.org/examples.html
WEBThis page shows you how to use different Apache Spark APIs with simple examples. Spark is a great engine for small and large datasets. It can be used with single-node/localhost environments, or distributed clusters. Spark’s expansive API, excellent performance, and flexibility make it a good option for many analyses.
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