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Introduction to Apache Hadoop Development

HDP-100 (4 Days)

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Hadoop Developer Training Overview

Accelebrate's Apache Hadoop Training: Introduction to Apache Hadoop Development training class teaches attendees how to build distributed, data-intensive applications using the Hadoop framework. Students learn the principles of parallel programming and how use Big Data tools such as Pig, Hive, and HBase.

Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

Hadoop Developer Training Objectives

  • Understand the principles of parallel computing
  • Understand Hadoop architecture (HDFS and MapReduce)
  • Use additional Big Data tools (Pig, Hive, HBase, etc.)
  • Learn Big Data patterns and best practices
  • Define Big Data project architecture
  • Understand and use NoSQL, Mahout, and Oozie

Hadoop Developer Training Outline

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Introduction
  • Hadoop history and concepts
  • Ecosystem
  • Distributions
  • High level architecture
  • Hadoop myths
  • Hadoop challenges (hardware / software)
HDFS
  • Concepts (horizontal scaling, replication, data locality, rack awareness)
  • Architecture
  • Namenode (function, storage, file system meta-data, and block reports)
  • Secondary namenode
  • HA Standby namenode
  • Data node
  • Communications / heart-beats
  • Block manager / balancer
  • Health check / safemode
  • read / write path
  • Navigating HDFS UI
  • Command-line interaction with HDFS
  • File systems abstractions
  • WebHDFS
  • Reading / writing files using Java API
  • Getting Data into / out of HDFS (Flume, Sqoop)
  • Getting HDFS stats
  • Latest in HDFS
  • Namenode HA and Federation
  • HDFS roadmap
MapReduce
  • Parallel computing before MapReduce
  • MapReduce concepts
  • Daemons: jobtracker / tasktracker
  • Phases: driver, mapper, shuffle/sort, and reducer
  • First MapReduce job
  • MapReduce UI walk through
  • Counters
  • Distributed cache
  • Combiners
  • Partitioners
  • MapReduce configuration
  • Job config
  • MR types and formats
  • Sorting
  • Job schedulers
  • MapReduce best practices
  • MRUnit
  • Optimizing MapReduce
  • Fool proofing MR
  • Thinking in MapReduce
  • YARN: architecture and use
Pig
  • Intro: principles and uses cases
  • Pig versus MapReduce
Hive
  • Intro: principles and uses cases
  • Environment and configuration
  • Hive tables and metadata
  • Hive keywords
HBase
  • History and concepts
  • Architecture
  • HBase versus RDBMS
  • HBase shell
  • HBase Java API
  • Splits and compaction
  • Read path / write path
  • Schema design
Real world Big Data skills and a hackathon
  • NoSQL design patterns: going from SQL to NoSQL
  • Smart Meter data collection with Flume
  • Sinks into HDFS and HBase
  • Analyzing smart meter data with Pig and Hive
  • Smart meter analytics with Mahout
  • Scheduling complete workflow with Oozie
Conclusion
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Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

HDP-100

Duration:

4 Days

Prerequisites:

All attendees must be comfortable with the Java programming language (since all programming exercises are in Java), familiar with Linux commands, and proficient in an IDE like Eclipse or a Linux editor (VI / nano) for modifying the code.

Training Materials:

All attendees receive courseware and a related textbook.

Software Requirements:

  • A web browser - any recent version of Chrome, Firefox, or Internet Explorer, with a recent version of Flash Player
  • An SSH client
  • We will provide Hadoop clusters in a remote environment.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

Contact Us

Toll-free in US/Canada:
877 849 1850
International:
+1 678 648 3113

Toll-free in US/Canada:
866 566 1228
International:
+1 404 420 2491

925B Peachtree Street, NE
PMB 378
Atlanta, GA 30309-3918
USA

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