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Using Kudu with Apache Spark and Apache Flume [Online Code]


Using Kudu with Apache Spark and Apache Flume [Online Code] by O'Reilly Media at ITHKS. Hurry! Limited time offer. Offer valid only while supplies last. Number of Videos: 0.5 hours - 6 lessonsAuthor:Ryan BosshartUser Level:IntermediateApache Kudu, the breakthrough storage technology, is often used in


Product Description

Number of Videos: 0.5 hours - 6 lessons
Author:Ryan Bosshart
User Level:Intermediate
Apache Kudu, the breakthrough storage technology, is often used in conjunction with other Hadoop ecosystem frameworks for data ingest, processing, and analysis. This is a practical, hands-on course that shows you how Kudu works with four of those frameworks: Apache Spark, Spark SQL, MLlib, and Apache Flume.

You'll use the Kudu-Spark module with Spark and SparkSQL to seamlessly create, move, and update data between Kudu and Spark; then use Apache Flume to stream events into a Kudu table, and finally, query it using Apache Impala. The course is designed for learners with some limited experience using Hadoop ecosystem components like HDFS, Hive, Spark, or Impala.
  • Get hands-on experience with Kudu and add more tools to your Big Data toolbox
  • Learn how to move data between Kudu tables and Spark apps using the Kudu-Spark module
  • Understand how to stream and analyze data in real-time with Flume and Kudu
  • Create a movie ratings predictor using Flume and save the predicted values into Kudu
  • See how these open source tools combine to create simple and fast data engineering pipelines
Ryan Bosshart is a Principal Systems Engineer at Cloudera, where he leads a specialized team focused on Hadoop ecosystem storage technologies such as HDFS, Hbase, and Kudu. An architect and builder of large-scale distributed systems since 2006, Ryan is co-chair of the Twin Cities Spark and Hadoop User Group. He speaks about Hadoop technologies at conferences throughout North America and holds a degree in computer science from Augsburg College.

Mac Minimum System Requirements:Mac Recommended System Requirements:
  • Processor:   Any
  • RAM:   Any
  • Hard Disk:   1GB
  • Video Card:   Any
  • Supported OS:   Mac El Capitan 10.11, Mac Yosemite 10.10, Mac Mavericks 10.9, Mac Mountain Lion 10.8, Mac Lion 10.7, Mac Snow Leopard 10.6, Mac Leopard 10.5, Mac OS X, Macintosh

    Features & Highlights

    • Learn Using Kudu with Apache Spark and Apache Flume from a professional trainer on your own time at your own desk.
    • This visual training method offers users increased retention and accelerated learning.
    • Breaks even the most complex applications down into simplistic steps
    • Comes with Extensive Working Files

    Additional Information

    Brand:O'Reilly Media

    Using Kudu with Apache Spark and Apache Flume [Online Code] by O'Reilly Media

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    Using Kudu with Apache Spark and Apache Flume [Online Code]

    Brand: O'Reilly Media
    Condition: New
    Lead Time: 1 - 2 Business Days
    Availability: In Stock
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