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1. • Apache Spark

     • Apache 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.
     aws.amazon.com/what-is/apache-spark/

     What is Spark? - Introduction to Apache Spark and Analytics - AWS

2. People also ask

   Is Apache Spark open source?

   • Spark 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.

   Apache Spark™ - Unified Engine for large-scale data analytics

   spark.apache.org/

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   Is spark open sourced?

   • The first paper entitled, “Spark: Cluster Computing with Working Sets” was published in June 2010, and Spark was open sourced under a BSD license. In June, 2013, Spark entered incubation status at the Apache Software Foundation (ASF), and established as an Apache Top-Level Project in February, 2014.

   What is Spark? - Introduction to Apache Spark and Analytics - AWS

   aws.amazon.com/what-is/apache-spark/

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   What is Apache Spark?

   • 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.

   Apache Spark - Wikipedia

   en.wikipedia.org/wiki/Apache_Spark

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   What is sparksql & how does it work?

   • SparkSQL is a Spark component that supports querying data either via SQL or via the Hive Query Language. It originated as the Apache Hive port to run on top of Spark (in place of MapReduce) and is now integrated with the Spark stack.

   Introduction to Apache Spark With Examples and Use Cases - Toptal

   www.toptal.com/spark/introduction-to-apache-spark

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   What datastores does Spark SQL support?

   • Alongside standard SQL support, Spark SQL provides a standard interface for reading from and writing to other datastores including JSON, HDFS, Apache Hive, JDBC, Apache ORC, and Apache Parquet, all of which are supported out of the box.

   What is Apache Spark? The big data platform that crushed Hadoop

   www.infoworld.com/article/2259224/what-is-apache-spark-the-big-data-platform-that-crushed-hadoop.html

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   What is Apache Spark TM?

   • 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. Unify the processing of your data in batches and real-time streaming, using your preferred language: Python, SQL, Scala, Java or R.

   Apache Spark™ - Unified Engine for large-scale data analytics

   spark.apache.org/

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3. spark.apache.orgApache Spark™ - Unified Engine for large-scale data analytics

   spark.apache.org

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   Thousands of companies, including 80% of the Fortune 500, use Apache Spark ™. Over 2,000 contributors to the open source project from industry and academia. Ecosystem. Apache Spark ™ integrates with your favorite frameworks, helping to scale them to thousands of machines.

   • Download

     Spark docker images are available from Dockerhub under the...

   • Libraries

     Spark SQL is developed as part of Apache Spark. It thus gets...

   • Documentation

     Spark Connect is a new client-server architecture introduced...

   • Examples

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

   • Community

     Apache Spark ™ community. Have questions? StackOverflow. For...

   • Developers

     Solving a binary incompatibility. If you believe that your...

   • Apache Software Foundation

     "The most popular open source software is Apache…" DZone,...

   • Spark Streaming

     If you have questions about the system, ask on the Spark...

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

   en.wikipedia.org › wiki › Apache_Spark

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   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.

5. Videos

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     What Is Apache Spark?

     Oct 21, 2022

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     Spark Tutorial For Beginners | Big Data Spark Tutorial | Apache Spark Tutorial | Simplilearn

     Jul 13, 2017

     463K Views

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     22:01

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     Master Databricks and Apache Spark Step by Step: Lesson 8 - Spark SQL DDL on Spark

     Mar 1, 2021

     12.7K Views

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6. www.ibm.com › topics › apache-sparkWhat Is Apache Spark? - IBM

   www.ibm.com › topics › apache-spark

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   • Resilient Distributed Dataset (RDD) Resilient Distributed Datasets (RDDs) are fault-tolerant collections of elements that can be distributed among multiple nodes in a cluster and worked on in parallel.
   • Directed Acyclic Graph (DAG) As opposed to the two-stage execution process in MapReduce, Spark creates a Directed Acyclic Graph (DAG) to schedule tasks and the orchestration of worker nodes across the cluster.
   • DataFrames and Datasets. In addition to RDDs, Spark handles two other data types: DataFrames and Datasets. DataFrames are the most common structured application programming interfaces (APIs) and represent a table of data with rows and columns.
   • Spark Core. Spark Core is the base for all parallel data processing and handles scheduling, optimization, RDD, and data abstraction. Spark Core provides the functional foundation for the Spark libraries, Spark SQL, Spark Streaming, the MLlib machine learning library, and GraphX graph data processing.

7. aws.amazon.com › what-is › apache-sparkWhat is Spark? - Introduction to Apache Spark and Analytics - AWS

   aws.amazon.com › what-is › apache-spark

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   Apache 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.

8. 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 · Apache Spark is a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks across multiple computers, either on...

   • Author: Ian Pointer

9. www.toptal.com › spark › introduction-to-apache-sparkIntroduction to Apache Spark With Examples and Use Cases - Toptal

   www.toptal.com › spark › introduction-to-apache-spark

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   Spark is an Apache project advertised as “lightning fast cluster computing”. It has a thriving open-source community and is the most active Apache project at the moment. Spark provides a faster and more general data processing platform. Spark lets you run programs up to 100x faster in memory, or 10x faster on disk, than Hadoop.

10. www.databricks.com › glossary › what-is-apache-sparkIntroduction to Apache Spark - Databricks

    www.databricks.com › glossary › what-is-apache-spark

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    Apache Spark is an open source analytics engine used for big data workloads. It can handle both batches as well as real-time analytics and data processing workloads. Apache Spark started in 2009 as a research project at the University of California, Berkeley.