Course Description:
This workshop provides an understanding of Big Data Technology and Its ecosystems and how to apply in the enterprise. This workshop emphasizes on how to write a MapReduce program in Java to analyse a Big Data storing in Hadoop. The workshop will describe Hadoop technology and how to install it on a local system. It will describe the architecture of Hadoop focusing on HDFS and MapReduce. The workshop will provide a deep study on Java APIs for MapReduce programming with hand-on exercises on a local system. In addition, we will also cover programming techniques using Hive, Pig and Impala.
Duration : 3 Days (9:00 - 16:00)
Fee :9,900 Baht exclude VAT ( 8,500 Baht exclude VAT with your own computer )
(Fee includes Course Material + Coffee Break and Lunch)
Instructor : Associate Professor Dr. Thanachart Numnonda (See Profile >> Here)
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Executive Director, IMC Institute
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Ex-Director, Software Park Thailand
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Certified Sun Java Instructor
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Lead Instructor for Mini Master of Java Technology KMITL
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Instructor for many universities and public organizations
Training Schedule:
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17-19 February 2016
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14-16 September 2016
Technology using in This workshop: Hadoop Cloudera
Training Venue: The Connecion (Near MRT Ladprao Exit 4)>> See Map
Who Should Attend:
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IT Manager
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IT Developer
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IT Architect
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IT Development Team Senior IT Staff
Prerequisite: Working Experience in IT more than 3 years with Java Programming Knowledging
Benefits :
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Understand Today Key Business Requirements to fit with Big Data Technology Solution
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Learn Big Data Hadoop Development Process
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Understand how to setup a local Hadoop system.
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Learn how to use the Amazon Elastic MapReduce.
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Gain Experience of Writing Map Reduce Program, An Essential of Big Data Hadoop Technology and Its Ecosystems in Hands-On Labs.
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Understand MapReduce API on Java Technology
Course Outline:
Day 1:
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Lecture: Introduction to Big Data Technology and Hadoop
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Lecture: Big Data Development Process
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Lecture: Introduction to Cloudera
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Hands-On: Installing Cloudera Hadoop and Ecosystem Components
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Hands-On: Configuring HDFS, Importing Data to HDFS, Retrieving, Deleting Data from HDFS
Day 2
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Lecture: Understanding Map Reduce Processing
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Hand-On: Installing Eclipse for Map Reduce Processing
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Hands-On: Writing you own Map Reduce Program
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Hands-On: Packaging Map Reduce and Deploying to Hadoop Runtime Environment
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Hands-On: Writing a map Reduce program to count characters.
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Lecture: Map Reduce Custom Libraries
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Hands-On: Write your own Map Reduce using Custom Libraries
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Hands-On: Running your Map Reduce Programs on Amazon Elastic Map Reduce.
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Lecture: Understand Map Reduce Types and Formats
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Hands-On: Writing Map Reduce Input Formats / Output Formats Programs
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Lecture: Understand Map Reduce Features
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Lecture: MapReduce Algorithms
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Hands-On Walkthrough of 2-3 Algorithms Use Case
Day 3
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Lecture: Hive Programming
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Hands-On: Hive Programming on Cloudera
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Lecture: Pig Programming
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Hands-On: Pig Programming on Cloudera
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Lecture: Introduction to Impala
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Hands-On: Impala Programming on Cloudera
Online Registration >> HERE