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  1. WEBApache Spark is a fast and open source analytics engine for big data and machine learning, developed at UC Berkeley and hosted at Apache Software Foundation. Databricks offers a cloud platform for Spark with …

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    Spark is also fast when data is stored on disk, and currently holds the world record for large-scale on-disk sorting. Spark has easy-to-use APIs for operating on large datasets. This includes a collection of over 100 operators for transforming data and familiar data frame APIs for manipulating semi-structured data.
    Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California, Berkeley 's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since.
    en.wikipedia.org
    Spark is an open source framework focused on interactive query, machine learning, and real-time workloads. It does not have its own storage system, but runs analytics on other storage systems like HDFS, or other popular stores like Amazon Redshift, Amazon S3, Couchbase, Cassandra, and others.
    Spark SQL provides a domain-specific language (DSL) to manipulate DataFrames in Scala, Java, Python or .NET. It also provides SQL language support, with command-line interfaces and ODBC / JDBC server.
    en.wikipedia.org
  3. WEBFeb 24, 2019 · Learn what Apache Spark is, how it works, and why it is the most popular open source engine for Big Data analytics. Compare Spark with Hadoop MapReduce and explore its features, libraries, and …