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Hadoop Administration online tutor-led training course

Free server access, Class recordings, Certification guidance, Job & Interview assistance, Course Completion Certificate


Uplatz

Summary

Price
Save 56%
£350 inc VAT (was £800)
Or £58.33/mo. for 6 months... Read more
Offer ends 13 December 2020
Study method
Online with live classes
Duration
40 hours, Part-time
Qualification
No formal qualification
Additional info
  • Tutor is available to students
  • Certificate of completion available and is included in the price

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Dates

Start date
End date
12/12/2020
09/01/2021
09/01/2021
06/02/2021
06/02/2021
06/03/2021
06/03/2021
03/04/2021

Overview

Uplatz offers comprehensive training on Hadoop Administration. This is instructor-led online course.

This is a practical oriented course delivered by Uplatz Tutor.

Course media

Resources

  • Course Syllabus - Hadoop Administration - download

Description

Hadoop Administration Course Curriculum


1 INTRODUCTION


1.1 Big Data Introduction


1.1.1 What is Big Data?
1.1.2 Big Data - Why
1.1.3 Big Data - Journey
1.1.4 Big Data Statistics
1.1.5 Big Data Analytics
1.1.6 Big Data Challenges
1.1.7 Technologies Supported By Big Data


1.2 Hadoop Introduction
1.2.1 What Is Hadoop?
1.2.2 History Of Hadoop
1.2.3 Breakthroughs Of Hadoop
1.2.4 Future of Hadoop
1.2.5 Who Is Using?


1.3 Basic Concepts
1.3.1 The Hadoop Distributed File System - At a Glance
1.3.2 Hadoop Daemon Processes
1.3.3 Anatomy Of A Hadoop Cluster
1.3.4 Hadoop Distributions



2 HADOOP DISTRIBUTED FILE SYSTEM (HDFS)

2.1 What is HDFS?
2.1.1 Distributed File System (DFS)
2.1.2 Hadoop Distributed File System (HDFS)


2.2 HDFS Cluster Architecture and Block Placement
2.2.1 NameNode
2.2.2 DataNode
2.2.3 JobTracker
2.2.4 TaskTracker
2.2.5 Secondary NameNode


2.3 HDFS Concepts
2.3.1 Typical Workflow
2.3.2 Data Replication
2.3.3 Replica Placement
2.3.4 Replication Policy
2.3.5 Hadoop Rack Awareness
2.3.6 Anatomy of a File Read
2.3.7 Anatomy of a File Write


3. MAPREDUCE


3.1 STAGES OF MAPREDUCE


3.2 DAEMONS
3.2.1 Job Tracker
3.2.2 Task Tracker


3.3 TASK FAILURES
3.3.1 Child
3.3.2 Task Tracker Failures
3.3.3 Job Tracker Failures
3.3.4 HDFS Failures


3.4 YARN


4. HOW TO PLAN A CLUSTER


4.1 VERSIONS AND FEATURES


4.2 HARDWARE SELECTION
4.2.1 Master Hardware
4.2.2 Slave Hardware
4.2.3 Cluster sizing


4.3 OPERATING SYSTEM SELECTION
4.3.1 Deployment Layout
4.3.2 Software Packages
4.3.3 Hostname, DNS
4.3.4 Users, Groups, Privileges


4.4 DISK CONFIGURATION
4.4.1 Choose a FileSystem
4.4.2 Mount options


4.5 NETWORK DESIGN
4.5.1 Network usage in Hadoop
4.5.2 Typical network Topologies


5. INSTALLATION AND CONFIGURATION


5.1 APACHE HADOOP
5.1.1 Tarball Installation
5.1.2 Package Installation


5.2 CONFIGURATION
5.2.1 XML Configuration
5.2.2 Environment Variables
5.2.3 Logging Configuration


5.3 HDFS
5.3.1 Optimization and Tuning


5.4 MAPREDUCE
5.4.1 Optimization and Tuning


6. AUTHENTICATION


6.1 KERBEROS AND HADOOP
6.1.1 Kerberos
6.1.2 Configuring Hadoop Security


7. RESOURCE MANAGEMENT


7.1 WHAT IS RESOURCE MANAGEMENT?


7.2 MAPREDUCE SCHEDULER
7.2.1 Capacity Scheduler
7.2.2 Fair Scheduler


8. CLUSTER MAINTENANCE


8.1 MANAGING HADOOP PROCESS
8.1.1 Starting and stopping processes with Init scripts
8.1.2 Starting and stopping processes manually


8.2 HDFS MAINTENANCE
8.2.1 Adding and Decommissioning DataNode
8.2.2 Balancing HDFS Block Data
8.2.3 Dealing with a Failed disk


8.3 MAPREDUCE MAINTENANCE
8.3.1 Adding and Decommissioning TaskTracker
8.3.2 Kill MapReduce Job and Task
8.3.3 Dealing Blacklisted Tasktracker


9. TROUBLESHOOTING


9.1 COMMON FAILUERS AND PROBLEMS


9.2 HDFS AND MAPREDUCE CHECKS


10. BACKUP AND RECOVERY


10.1 DATA BACKUP


10.1.1 Distributed copy
10.1.2 Parallel data ingestion


10.2 NAMENODE METADATA


COURSE DELIVERABLES
 Workshop style coaching
 Interactive approach
 Course material
 Hands on practice exercises
 Quiz at the end of each major topic
 Tips and techniques on Cloudera Certification Examination
 Mock interviews for each individual will be conducted on need basis
 Resume preparation and guidance

Requirements

Passion and determination to achieve your goals!

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