Big Data Hadoop Training Course

@RMSSoftwareTech training@rmssoftwaretech.com
http://www.rmssoftwaretech.com
Apache Hadoop
(Big Data)
Big Data Training

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© 2014 RMS Software Tech (rmssoftwaretech.com)
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•  All third party trademark rights acknowledged

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Profile : RMS Software Technologies
•  About us :
◦  Leading provider of Software solutions, System integration Services and
Professional Training
◦  Based in San Jose, CA & Mumbai, India started in 2012.
•  Professional Courses :
◦  Expert Training team of 10 people who provide training in various leading
technologies like iPhone iOS, Android, Java, Big Data Hadoop, QA & Agile Scrum
Methodologies.
◦  Team of developers using AngularJS at the client projects.
◦  Focused on Interns and engineers looking to learn new exciting technologies.
•  Track Record:
◦  We work with emerging technologies to create mobile applications, rich-client desktop
software, and large-scale systems (CRM, ERP).
◦  We create high quality solutions for hard problems, to help our customers thrive
◦  We can share this expertise with you developers, in the form of workshop style, hands-on
training classes.

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Course : Prerequisites and Equipment
•  Prerequisites :
◦  Students should have experience with Database (DBMS) like Oracle,
Informix, Sybase. No prior experience of Big Data or NOSQL and Hadoop
is required for the course.
•  Equipment :
◦  Please use - Laptop (Windows, Linux, or Mac).

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Training Agenda
Training Schedule & Agenda
Week 1 : Hadoop Overview
Week 2 : HDFS Deep Dive
Week 3 : MapReduce and Pig
Week 4 : Hive and HBase
Week 5 : Zookeeper, Oozie, Flume, Talend
Week 6 : Practice Questions, Q & A with Final Project
We believe this curriculum covers the basics well, and positions students to use
Hadoop effectively and efficiently. It provides a good overview on Hadoop and Big
Data

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Week 1 : Hadoop Overview
•  Brief History of Hadoop
•  RDBMS/SQL vs. Hadoop
•  Structured vs. Unstructured data
•  Introduction to Hadoop Ecosystem (HDFS, MapReduce, Pig, Hive, HBase)
•  HDFS Overview (NameNode vs. DataNode)
•  MapReduce overview (JobTracker vs. TaskTracker)
•  Hadoop XML files for configuration
•  Hadoop Ecosystem (Hive, Pig, Hbase, Zookeeper, Mahout, Oozie, Talend,
Scoop, Flume)
•  Lab #1 Virtual Machine Setup

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Week 2 : HDFS Deep Dive
•  NameNode Architecture
•  DataNode Architecture
•  Write Pipeline
•  Read Pipeline
•  HDFS Disk space quotas and number of file quotas
•  Quick Intro to Java API interface
•  Lab #2.

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Week 3 : MapReduce and Pig
•  MapReduce Architecture
•  Combiner, Partitioner
•  JobTracker & TaskTracker
•  Job Scheduling
•  Distributed Cache
•  Counters
•  MapReduce configuration files
•  Simple MapReduce example : WordCount
•  Next Gen MapReduce : YARN.
•  Lab #3 : MapReduce
•  Lab #4 : Pig

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Week 4: Hive and HBase
•  Hive architecture.
•  Hive vs. RDBMS.
•  HiveQL and Hive. Shell
•  Managing Tables
•  Querying Data
•  Data Types and Schemas
•  Introduction to UDF (User Defined Functions)
•  HBase Architecture
•  HBase vs. Cassandra

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Week 4: HBase
•  Bloom Filters and Block indexes
•  Table Scans and Filters
•  Lab # Intro to HBase command line.

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Week 5: Zookeeper, Oozie, Flume, Sqoop, Talend
•  Flume overview
•  Flume usage
•  Sqoop overview
•  Sqoop usage
•  Hadoop workflow
•  Jobcontrol
•  Oozie
•  Talend
•  Sqoop

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Week 6: Project and Practice Questions
•  Sample Project
•  Practice Questions
•  Q & A

Foundation for tomorrow
@RMSSoftwareTech
training@rmssoftwaretech.com

Big Data Hadoop Training Course

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