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Introducing Kudu and Kudu Architecture Training Video

Introducing Kudu and Kudu Architecture Training Video

A Practical Training Course That Teaches Real World Skills

In this project-based Introducing Kudu and Kudu Architecture video tutorial series, you'll quickly have relevant skills for real-world applications.

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Practical working files further enhance the learning process and provide a degree of retention that is unmatched by any other form of Introducing Kudu and Kudu Architecture tutorial, online or offline... so you'll know the exact steps for your own projects.

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SKU: 02464 | Duration: 1 hours - 10 tutorial videos | Date Released: 2017-02-27
Works on: Windows PC or Mac | Format: Download | Instructor: Ryan Bosshart

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Course Description

Apache Kudu is an entirely new storage manager for the Hadoop ecosystem. It addresses many of the most difficult architectural issues in Big Data, including the Hadoop "storage gap" problem common when building near real-time analytical applications. This vexing issue has prevented many applications from transitioning to Hadoop-based architectures.

In this course, you'll learn why Kudu exists, when to use it, the key concepts of Kudu's design, and how it enables simple, real-time analytics without the need for separate batch and speed layers. Designed for developers, architects, and engineers with some limited experience using Hadoop ecosystem components like HDFS, Hive, Spark, or Impala, the course describes how to architect Kudu applications that are low-risk, fast, scalable, and reliable.

* Explore skills critical to the "big data" toolbox of any developer, architect, or engineer

* Learn how Kudu solves the Hadoop storage gap problem

* Understand Kudu's design goals, strengths, and weaknesses

* Discover how Kudu reads and writes data

* Master the concepts that make Kudu-based applications low-risk, scalable, and fast

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.

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