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Apache Spark

Apache Spark is used at a wide range of organisations to process Big Data. Apache Spark supports Java, Scala, Python, R, and SQL. Apache Spark powers a stack of libraries including SQL, DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. Apache Spark can run on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud.

You can acquire and upgrade your Apache Spark knowledge here.

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  • Apache Spark Essential Training

    8 Review(s)
    Apache Spark is a powerful platform that provides users with new ways to store and make use of big data. In this course, get up to speed with Spark, and discover how to leverage this popular processing engine to deliver effective and comprehensive insights into your data. The trainer will how you  how to analyze data in Spark using PySpark and Spark SQL, explores running machine learning algorithms using MLib, d....
    $298.00 (GST-exclusive)

  • Machine Learning with Apache Spark

    3 Review(s)
    Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine Learning algorithms comb through data and identify patterns that are too complex to be discerned by the human mind. These patterns can then be used for decision making and action Apache Spark is a powerful platform that for running Machine Learning. This course wil....
    $298.00 (GST-exclusive)

  • Basic Scala Training for Apache Spark

    Scala is a general-purpose programming language providing support for functional programming and a strong static type system. Designed to be concise, many of Scala's design decisions aimed to address criticisms of Java Scala is the preferred programming language for the widely popular Apache Spark. . The topics include: Scala data types Conditional Loop Function Object Oriented Programming Exception Aft....
    $298.00 (GST-exclusive)

  • Apache Spark with R Training

    Apache Spark is an open-source cluster-computing framework overtaking the old MapReduce paradigm which is strictly disk-based. Spark uses memory and can use disk for processing which makes it 100x faster for large-scale SQL, batch processing, stream processing and machine learning. This course shows how to use R sparklyr package to query, visualize and perform data analysis & machine learning on your data. After ....
    $298.00 (GST-exclusive)

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