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1. • • Spark becomes top-level Apache project The Apache Software Foundation announced today that Spark has graduated from the Apache Incubator to become a top-level Apache project, signifying that the project’s community and products have been well-governed under the ASF’s meritocratic process and principles.
     spark.apache.org/news/spark-becomes-tlp.html

     Spark becomes top-level Apache project

2. People also ask

   Why did spark become a top-level Apache project?

   • The Apache Software Foundation announced today that Spark has graduated from the Apache Incubator to become a top-level Apache project, signifying that the project’s community and products have been well-governed under the ASF’s meritocratic process and principles.

   Spark becomes top-level Apache project | Apache Spark

   spark.apache.org/news/spark-becomes-tlp.html

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   What is Apache Spark?

   • Apache Spark started as a research project at the UC Berkeley AMPLab in 2009, and was open sourced in early 2010. Many of the ideas behind the system were presented in various research papers over the years. After being released, Spark grew into a broad developer community, and moved to the Apache Software Foundation in 2013.

   History - Apache Spark

   spark.apache.org/history.html

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   Why is spark a top-level project?

   • While Apache Hadoop serves as the foundation of our big-data platform, Spark is an attractive technology for iterative applications such as machine learning. Yahoo has made significant contributions to the development of Spark and we congratulate Spark on becoming an Apache top-level project."

   The Apache Software Foundation Announces Apache™ Spark™ as a To…

   news.apache.org/foundation/entry/the_apache_software_foundation_announces50

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   Is spark faster than Apache MapReduce?

   • Dubbed a "Hadoop Swiss Army knife" by The Register, Spark is recognized for its remarkable speed and ease of use, running programs up to 100x faster than Apache Hadoop MapReduce in memory, and with APIs that allow developers to quickly write applications in Java, Python, or Scala.

   The Apache Software Foundation Announces Apache™ Spark™ as a To…

   news.apache.org/foundation/entry/the_apache_software_foundation_announces50

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   What is spark in Hadoop?

   • Initially created in 2009 at the University of California at Berkeley’s AMPLab (the research center also responsible for the original development of Apache Mesos), the Spark distributed computing framework for advanced analytics in Apache Hadoop can easily be used standalone or on Hadoop YARN, EC2 or Mesos.

   The Apache Software Foundation Announces Apache™ Spark™ as a To…

   news.apache.org/foundation/entry/the_apache_software_foundation_announces50

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   Is Apache Spark better than Hadoop?

   • Some people see the popular newcomer Apache Spark ™ as a more accessible and more powerful replacement for Hadoop, the original technology of choice for big data. Others recognize Spark as a powerful complement to Hadoop and other technologies, with its own set of strengths, quirks and limitations.

   Spark 101: What Is It, What It Does, and Why It Matters

   medium.com/the-ramp/spark-101-what-is-it-what-it-does-and-why-it-matters-d54b2287a8d2

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3. spark.apache.org › news › spark-becomes-tlpSpark becomes top-level Apache project

   spark.apache.org › news › spark-becomes-tlp

   • Cached

   The Apache Software Foundation announced today that Spark has graduated from the Apache Incubator to become a top-level Apache project, signifying that the project’s community and products have been well-governed under the ASF’s meritocratic process and principles.

   • The Apache Software Foundation Announces Apache™ Spark™ as a ...

     Dubbed a "Hadoop Swiss Army knife" by The Register, Spark is...

4. spark.apache.org › historyHistory - Apache Spark

   spark.apache.org › history

   • Cached

   Apache Spark started as a research project at the UC Berkeley AMPLab in 2009, and was open sourced in early 2010. Many of the ideas behind the system were presented in various research papers over the years.

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6. news.apache.org › foundation › entryThe Apache Software Foundation Announces Apache™ Spark™ as a ...

   news.apache.org › foundation › entry

   Feb 27, 2014 · Dubbed a "Hadoop Swiss Army knife" by The Register, Spark is recognized for its remarkable speed and ease of use, running programs up to 100x faster than Apache Hadoop MapReduce in memory, and with APIs that allow developers to quickly write applications in Java, Python, or Scala.

7. en.wikipedia.org › wiki › Apache_SparkApache Spark - Wikipedia

   en.wikipedia.org › wiki › Apache_Spark

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   In February 2014, Spark became a Top-Level Apache Project. [ 34 ] In November 2014, Spark founder M. Zaharia's company Databricks set a new world record in large scale sorting using Spark.

8. www.databricks.com › blog › 2014/03/02Apache Spark Now a Top-level Apache Project | Databricks Blog

   www.databricks.com › blog › 2014/03/02

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   Mar 2, 2014 · We are delighted with the recent announcement of the Apache Software Foundation that Apache Spark has become a top-level Apache project. This is a recognition of the fantastic work done by the Spark open source community, which now counts over 140 developers from 30+ companies.

9. www.infoworld.com › article › 2259224What is Apache Spark? The big data platform that crushed ...

   www.infoworld.com › article › 2259224

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   Apr 3, 2024 · Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning.

10. medium.com › the-ramp › spark-101-what-is-it-what-itSpark 101: What Is It, What It Does, and Why It Matters

    medium.com › the-ramp › spark-101-what-is-it-what-it

    Oct 15, 2015 · Spark became an incubated project of the Apache Software Foundation in 2013, and it was promoted early in 2014 to become one of the Foundation’s top-level projects.