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Basic Kudu Installation, API Usage, and SQL Integration Training Video

Basic Kudu Installation, API Usage, and SQL Integration Training Video

A Practical Training Course That Teaches Real World Skills

In this project-based Basic Kudu Installation, API Usage, and SQL Integration video tutorial series, you'll quickly have relevant skills for real-world applications.

Follow along with our expert instructor in this training course to get:

  • Concise, informative and broadcast-quality Basic Kudu Installation, API Usage, and SQL Integration training videos delivered to your desktop
  • The ability to learn at your own pace with our intuitive, easy-to-use interface
  • A quick grasp of even the most complex Basic Kudu Installation, API Usage, and SQL Integration subjects because they're broken into simple, easy to follow tutorial videos

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

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SKU: 02465 | Duration: 0.5 hours - 7 tutorial videos | Date Released: 2017-02-28
Works on: Windows PC or Mac | Format: Download | Instructor: Ryan Bosshart

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Course Description

Apache Kudu is a required skill in the Big Data world because it addresses problems that are difficult or impossible to implement on current generation Hadoop storage technologies. Big data developers, architects, and engineers looking to add this skill can do so with this easy to understand hands-on exploration of Kudu's basics.

The course shows you how to install the Kudu quickstart and set up an environment, explains the essentials of Kudu data management, and introduces Apache Impala, the low-latency distributed SQL query engine for the Hadoop ecosystem. It also demonstrates how the Kudu-Impala combination allows fast analytics without losing real-time updating abilities, and explains how to use Kudu's Java APIs to create, read, and update data.

* Master the basics of Kudu quickly and easily by using it in a hands-on environment

* Understand the Kudu installation options and the basics of Kudu data management

* Learn to integrate Impala with Kudu and gain experience using Kudu's Java API

* Upgrade your ability to do fast analytics by learning the fundamentals of Kudu architecture.

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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