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2 changes: 1 addition & 1 deletion packages/apache_spark/_dev/build/docs/README.md
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## Overview

[Apache Spark](https://spark.apache.org) is an open-source, distributed computing system that provides a fast and general-purpose cluster-computing framework. It offers in-memory data processing capabilities, which significantly enhances the performance of big data analytics applications. Spark provides support for a variety of programming languages including Scala, Python, Java, and R, and comes with built-in modules for SQL, streaming, machine learning, and graph processing. This makes it a versatile tool for a wide range of data processing and analysis tasks.
Hello world! [Apache Spark](https://spark.apache.org) is an open-source, distributed computing system that provides a fast and general-purpose cluster-computing framework. It offers in-memory data processing capabilities, which significantly enhances the performance of big data analytics applications. Spark provides support for a variety of programming languages including Scala, Python, Java, and R, and comes with built-in modules for SQL, streaming, machine learning, and graph processing. This makes it a versatile tool for a wide range of data processing and analysis tasks.

Use the Apache Spark integration to:

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5 changes: 5 additions & 0 deletions packages/apache_spark/changelog.yml
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# newer versions go on top
- version: "1.5.1"
changes:
- description: Documentation fixes.
type: enhancement
link: https://github.com/elastic/integrations/pull/15320
- version: "1.5.0"
changes:
- description: Improve documentation to align with new guidelines.
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2 changes: 1 addition & 1 deletion packages/apache_spark/docs/README.md
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## Overview

[Apache Spark](https://spark.apache.org) is an open-source, distributed computing system that provides a fast and general-purpose cluster-computing framework. It offers in-memory data processing capabilities, which significantly enhances the performance of big data analytics applications. Spark provides support for a variety of programming languages including Scala, Python, Java, and R, and comes with built-in modules for SQL, streaming, machine learning, and graph processing. This makes it a versatile tool for a wide range of data processing and analysis tasks.
Hello world! [Apache Spark](https://spark.apache.org) is an open-source, distributed computing system that provides a fast and general-purpose cluster-computing framework. It offers in-memory data processing capabilities, which significantly enhances the performance of big data analytics applications. Spark provides support for a variety of programming languages including Scala, Python, Java, and R, and comes with built-in modules for SQL, streaming, machine learning, and graph processing. This makes it a versatile tool for a wide range of data processing and analysis tasks.

Use the Apache Spark integration to:

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2 changes: 1 addition & 1 deletion packages/apache_spark/manifest.yml
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format_version: "3.0.0"
name: apache_spark
title: Apache Spark
version: "1.5.0"
version: "1.5.1"
description: Collect metrics from Apache Spark with Elastic Agent.
type: integration
categories:
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