Apache Hadoop & Big Data Certification Training

Live Online & Classroom Certification Training

Master the vital components of Hadoop ecosystem including Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Oozie and Flume. Gain hands-on big data development experience on seamless cloudlabs as you learn with our industry expert. This course is best suited for professionals seeking to develop and deploy Hadoop applications for their organization.

(5.0) 173 Learners
Instructed by SPRINGPEOPLE
INDIA

Course Description

Overview

Be equipped to lead and develop Hadoop applications to analyze big data. Gain a comprehensive and practical working knowledge of the important Hadoop tools required to become the Big Data developer your organization needs. Discuss case studies on how various organizations implement and deploy Hadoop clusters. Work on real life big data projects on the cloud to be an industry ready Hadoop expert.

Suggested Audience

This course is recommended as the foundation course for all professionals looking to develop Hadoop big data applications for their organizations.

Objective

This training will equip you to:

  • Internalize vital big data concepts
  • Understand and implement Hive, Hbase, Flume, Sqoop, Oozie and Pig
  • Work on Hadoop Distributed File System (HDFS)
  • Handle the Hadoop Deployment
  • Gain expertise on Hadoop Administration and Maintenance
  • Master Map-Reduce techniques
  • Develop Hadoop 2.7 applications using Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop and Flume

Duration

Instructor Led Training - 18 hrs

Prerequisites

Basic programming knowledge is recommended for taking up this course.

Course Curriculum

Expand All
  • Which data is called as BigData
  • What are business use cases for BigData
  • BigData requirement for traditional Data warehousing and BI space
  • BigData solutions
  • The amount of data processing in today's life
  • What Hadoop is why it is important
  • Hadoop comparison with traditional systems
  • Hadoop history
  • Hadoop main components and architecture
  • HDFS overview and design
  • HDFS architecture
  • HDFS file storage
  • Component failures and recoveries
  • Block placement
  • Balancing the Hadoop cluster
  • Different Hadoop deployment types
  • Hadoop distribution options
  • Hadoop competitors
  • Hadoop installation procedure
  • Distributed cluster architecture
  • Lab: Hadoop Installation
  • Ways of accessing data in HDFS
  • Common HDFS operations and commands
  • Different HDFS commands
  • Internals of a file read in HDFS
  • Data copying with 'distcp'
  • Lab: Working with HDFS
  • Hadoop configuration overview and important configuration file
  • Configuration parameters and values
  • HDFS parameters
  • MapReduce parameters
  • Hadoop environment setup
  • 'Include' and 'Exclude' configuration files
  • Lab: MapReduce Performance Tuning
  • Namenode/Datanode directory structures and files
  • Filesystem image and Edit log
  • The Checkpoint Procedure
  • Namenode failure and recovery procedure
  • Safe Mode
  • Metadata and Data backup
  • Potential problems and solutions / What to look for
  • Adding and removing nodes
  • Lab: MapReduce Filesystem Recovery
  • How to schedule Hadoop Jobs on the same cluster
  • Default Hadoop FIFO Schedule
  • Fair Scheduler and its configuration
  • What MapReduce is and why it is popular
  • The Big Picture of the MapReduce
  • MapReduce process and terminology
  • MapReduce components failures and recoveries
  • Working with MapReduce
  • Lab: Working with MapReduce
  • Java MapReduce implementation
  • Map() and Reduce() methods
  • Java MapReduce calling code
  • Lab: Programming Word Count
  • Default Input and Output formats
  • Sequence File structure
  • Sequence File Input and Output formats
  • Sequence File access via Java API and HDS
  • MapFile
  • Lab: Input Format
  • Lab: Format Conversion
  • Joining Data Sets in MapReduce Jobs
  • How to write a Map-Side Join
  • How to write a Reduce-Side Join
  • MapReduce Counters
  • Built-in and user-defined counters
  • Retrieving MapReduce counters
  • Lab: Map-Side Join
  • Lab: Reduce-Side Join
  • Hive as a data warehouse infrastructure
  • Hbase as the Hadoop Database
  • Using Pig as a scripting language for Hadoop
  • How different organizations use Hadoop cluster in their infrastructure

Certification

SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready take up these certification exams and pass with flying colours.

 

Resources

SpringPeople Corporate Learning Center

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About the Instructor

Founded in 2009, SpringPeople is a global premier eLearning marketplace for Online Live, Instructor-led classes in the region. It is a certified training delivery partner of leading technology creators, namely Pivotal, Elastic, Lightbend, EMC, VMware, MuleSoft, RSA, and... Read More


Course Rating and Reviews

5.0

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SPRINGPEOPLE SpringPeople Trainer

Deepak

Course:
Instructor:
Course Material:
Class Experience:
Training was good. It is difficult to open some of the network sockets. The wifi goes of frequently. . There is no variety in food. It will be good to have an option for non vegetarians.

SPRINGPEOPLE SpringPeople Trainer

Sk Safiruddin

Tech Lead
Seamless Distribution Systems AB
Course:
Instructor:
Course Material:
Class Experience:
Over all good.

This class is intended for participants with some prior exposure to the technology and are now looking to build up their expertise on the topic.

On successful completion of the course, participants will be eligible to sit of the related certification exam (see course overview). All participants receive a course completion certificate, demonstrating their expertise on the subject.

Total duration of the online, live instructor led sessions. Sessions are typically delivered as short lectures (2-hrs weekdays/3-hrs weekends) and detailed hands-on guidance.

Expected offline lab work hours that participants will need to complete and submit to the trainer, during and after the instructor-led online sessions.

  1. We are happy to refund full fee paid - no questions asked - should you feel that the training is not up to your expectations.
  2. Our dedicated team of expert training enablement advisors are available on email, phone and chat to assist you with your queries.
  3. All courseware, including session recordings, will always be available to access to you for future reference and rework.

Contact Us

+91-80-6567-9700 (BLR)

training@springpeople.com

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