Oreilly - Data Engineering Foundations Part 1 Using Spark, Hive, and Hadoop Scalable Tools

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File List

  • 021 4.5 Use the MapReduce (YARN) web interface.mp4 818.75 MB
    002 Learning objectives.mp4 16.98 MB
    003 1.1 Understand big data and data analytics concepts.mp4 273.87 MB
    004 1.2 Understand Hadoop as a big data platform.mp4 375.4 MB
    005 1.3 Understand Hadoop MapReduce basics.mp4 257.7 MB
    006 1.4 Understand Spark language basics.mp4 225.74 MB
    007 Learning objectives.mp4 21.89 MB
    008 2.1 Understand scalable concepts.mp4 130.73 MB
    009 2.2 Emulate scalable systems.mp4 113.68 MB
    010 2.3 Use Linux command line analytics tools.mp4 758.19 MB
    011 2.4 Use the Zeppelin web notebook.mp4 278.17 MB
    012 Learning objectives.mp4 13.67 MB
    013 3.1 Understand HDFS basics.mp4 321.11 MB
    014 3.2 Use HDFS command line tools.mp4 552.99 MB
    015 3.3 Use the HDFS web interface.mp4 172.31 MB
    016 Learning objectives.mp4 20.84 MB
    017 4.1 Understand the MapReduce paradigm and platform.mp4 392.32 MB
    018 4.2 Understand parallel MapReduce.mp4 147.93 MB
    019 4.3 Run MapReduce examples.mp4 738.06 MB
    020 4.4 Use the Streaming interface.mp4 662.21 MB
    001 Data Engineering Foundations - Introduction.mp4 171.98 MB
    022 Learning objectives.mp4 14.67 MB
    023 5.1 Run a Hive 'SQL' example using the command line.mp4 721.27 MB
    024 5.2 Run a Hive example using a Zeppelin notebook.mp4 245.34 MB
    025 Learning objectives.mp4 31.25 MB
    026 6.1 Understand Spark language basics.mp4 52.3 MB
    027 6.2 Understand SparkSession and Context.mp4 107.37 MB
    028 6.3 Use PySpark for MapReduce programing.mp4 112.83 MB
    029 6.4 Run a PySpark example using a Zeppelin notebook.mp4 76.96 MB
    030 Data Engineering Foundations - Summary.mp4 17.54 MB

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