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ETI Performance Improvement

Technical Training

Creating Rock Stars since 1984


Big Data for Practitioners

Introduction to Big Data for Practitioners is a two day course in Big Data technologies designed for practitioners. When you have completed this course you will be ready to tackle big data problems using a variety of different, powerful technologies.

This course is for:

  • System Architects
  • Data Scientists
  • End Users
  • Technical Managers

Once training is completed, the students should be able to understand what "Big Data" means, the history, drivers and technologies behind Hadoop.  They will become familiar with the Hadoop Distributed File System HDFS) and become able to manage HDFS data. The students will understand the concepts of Hadoop and will be able to browse Hadoop jobs with the Web UI. Furthermore, the students will be able to understand how to use Pig and Hive for managing data within the Hadoop system. The students will understand the NoSQL database paradigm and learn how to use HBase for efficient data storage. They will learn how to integrate existing data into Hadoop using Sqoop. The student will understand how to use Hue to perform most of the tasks that they have just learned. Finally, the students will come out of the class with an understanding of the bigger picture of what Hadoop and Big Data encompasses including hands-on experience on how to solve real world problems.

Prerequisites

The ideal candidate for this course will have an:

  • understanding of relational technologies, SQl and data management
  • understanding of data analysis and business analysis



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Dates & Registration

Big Data for Practitioners

2 Days

Your Price: $1500


Register!

  • Big Data concepts - intention, history, current state, product family
  • Business drivers - what is driving this market and how is this technology being used
  • Overview of Hadoop
    • The Hadoop Distribution File System (HDFS)
    • How Hadoop processes data
  • Storing and managing data using HDFS
  • Using Pig to process and analyze data
  • Using Hive to process and analyze data
  • Using HBase to store data
  • Using Hue to build and manage your data processing tasks
  • Using Sqoop to transfer data to and from HDFS/HBase and relational databases

Big Data for Practitioners

2 Days

Your Price: $1500

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ETI Performance Improvement
8500 Keystone Crossing Suite 550
Indianapolis, Indiana 46240

p. 317.475.6555
f. 317.475.6556
e. [email protected]

Hours:
8:00 am - 5:00 pm M-F EST

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ETI Performance Improvement

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