Big Data using Hadoop Workshop

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.

Duration : 3 Days (9:00 - 16:00)

Fee : 8,900 Baht **Early bird 8,500 Baht excludes VAT :
(Fee includes Course Material + Coffee Break and Lunch) Need to bring your own computer

Instructor
Associate Professor Dr. Thanachart Numnonda
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. Aekanun Thongtae
Big Data Consultant at IMC Institute
Former Manager of Architecture and Prototype at EGA
Guest Lecturer in Many University, Courses of Data Mining and Information Security
Former Director of Relations Network at Student Loan Fund

Training Schedule
13 - 15 March 2017
26 - 28 July 2017
17 - 19 October 2017
20 - 22 December 2017

Training Venue: Skulthai Surawong Tower 8th floor (Near MRT Sam Yan Door 1)

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 HBase
Hands-On: HBase Examples

Day 2
Lecture: Understanding Hive
Hands-On: Creating Table and Retrieving Data using Hive
Lecture: Understanding Impala
Hands-On: Creating Table and Retrieving Data using Impala
Lecture: Understaining Ozzie
Hands-On Running Ozzie
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 Avro-tools

Day 3
Lecture: Introduction to Kafka
Hands-On: Realtime streaming using Kafka
Introduction to Spark
Overviewing and Concepts
Spark Architecture
Spark Core
APIs for operating on large datasets: RDD, DataFrame


Contact Person :
For more information, contact our course coordinator on:
Ms.Kwanhathai Thavornpong / Ms.Sunisa Kamhangwaratit
Mobile: 087-593-7974, 088-192-7975
Tel: 02-233-4732
E-mail: [email protected] / [email protected] /[email protected]