Big Data using Hadoop Workshop

Duration : 2 Days (9:00 - 16:00)

Fee : 5,900 Baht **Early bird 5,500 Baht excludes VAT : Need to bring your own computer

(Fee includes Course Material + Coffee Break and Lunch)

Instructor : Associate Professor Dr. Thanachart Numnonda (See Profile >> Here)

• Executive Director, IMC Institute

• Ex-Director, Software Park Thailand

• Certified Sun Java Instructor

• Lead Instructor for Mini Master of Java Technology KMITL

• Instructor for many universities and public organizations

Mr. Dendej Sawarnkatat   (See Profile >> Here)

• ELearning Association of Thailand (ELAT) committee/instructor

• Software Park (Thailand) Instructor

• ACIS Training Center Instructor

Training Scchedule:

• 21-22 December 2015

• 30-31 March 2016

• 27-28 July 2016

• 19-20 October 2016

• 21-22 December 2016

Training Venue: The Connecion (Near MRT Ladprao Exit 4)  >> See Map

Course Description:

This workshop provides an understanding of Big Data Technology and Its ecosystems and how to apply in the enterprise, understanding of HDFS, Map Reduce Processing, Hive, Sqoop, Pig and HBase. The instructor will conduct a hands-on workshop for deeper experiences.

Who Should Attend:

• IT Architect

• IT Development Team Senior IT Staff

• Data Warehouse Team

• Data Architect

• Developers

Prerequisite: Working Experience in IT more than 3 years

Benefits :

• Understand Today Key Business Requirements to fit with Big Data Technology Solution            

• Learn Big Data Hadoop Development Process

• Gain Experience of Writing Map Reduce Program, An Essential of Big Data Hadoop Technology and Its Ecosystems in Hands-On Labs.

• Understand Hadoop distribution and be able to select Hadoop products

Course Outline:

Day 1:

• Lecture: Introduction to Big Data Technology and Hadoop

• Lecture: Big Data Development Process

• Hands-On: Installing Hadoop and Ecosystem Components

• Hands-On: Configuring HDFS

• Hands-On: Importing Data to HDFS

• Hands-On: Reviewing, Retrieving, Deleting Data from HDFS

• Lecture: Understanding Map Reduce Processing

• Hands-On: Writing you own Map Reduce Program

• Hands-On: Packaging Map Reduce and Deploying to Hadoop Runtime Environment

• Lecture: Using Hadoop on Cloud

• Hands-On: Running Hadoop on Amazon Web Services (Amazon EMR)

Day 2

• Lecture: Understanding Hive

• Hands-On: Creating Table and Retrieving Data using Hive

• Lecture: Understanding Pig

• Hands-On: Data Transform using Pig

• Lecture: Understanding  Sqoop

• Hands-On: Loading Data from DBMS to Hadoop HDFS

• Lecture: Understanding Flume

• Hands-On:Streaming Twitter Data to Hadoop HDFS

• Lecture: Understanding  HBase

• Hands-On: HBase Installation and Examples

• Hands-On: Running Hadoop on Cloudera Live

Online Registration >>HERE