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Hadoop Administration: An easy way to become a Hadoop Admin

 

Hadoop Administration: An easy way to become a Hadoop Admin Get Started Udemy

Hadoop Administration: An easy way to become a Hadoop Admin Enable NameNode High availability configuration on Hadoop Cluster. Learn to install Hadoop using Cloudera Manager and other administrative activites

What you'll learn

  • Create Hadoop Single node cluster on VM-Ware.
  • Learn to install Hadoop using Cloudera Manager and other administrative activites
  • Enable Kerberos security on Cloudera Hadoop Cluster using LDAP connection with Active Directory.
  • How to Monitor a Hadoop Cluster

Requirements

  • It is great if student knows Linux commands but if not, he / she can learn the commands from the "Linux Commands" pdf which I am giving as a giveaway.
  • Student should have AWS account. If student does not have, then student can create account using "Guidelines to Create AWS Free Tier Account" PDF which I am giving as a part of giveaway.
  • To create Single node cluster on VM-Ware student must have configuration which can support VM-Ware of 4 GB RAM, 20 GB HDD and 2 CPU.
  • Student need head phone to listen audio clearly.
  • You will need access to a PC running 64-bit Windows, MacOS, or Linux with an Internet connection.

Description

Hadoop 3 Big Data Processing Hands On [Intermediate Level]


Module 0: Giveaways

  • · Linux / UNIX Course
  • · 100 Solved Queries of Hadoop Administration Day to Day activities.
  • · Guidelines to create an AWS account.


Module 1: Introduction of Hadoop Administration

  • · Understanding Big Data
  • · Common big data domain scenarios
  • · Analyze Limitation of Traditional Solutions
  • · Roles and Responsibility
  • · Case Studies

Module 2: Hadoop Architecture And Mapreduce

  • · Introduction to Hadoop
  • · Hadoop Architecture
  • · Difference between Hadoop 1.x, Hadoop 2.x and Hadoop 3.x
  • · Hadoop 1.x Ecosystem tools and Core System
  • · Hadoop 2.x Ecosystem tools and Core System
  • · HDFS File System
  • o Introduction of NameNode, DataNode and Secondary NameNode
  • o Anatomy of Write and Read
  • o Replication Pipeline
  • · YARN Framework
  • o Role and function of YARN in Hadoop
  • o Mapreduce Theory
  • § Cluster testing using MapReduce Code in YARN Environment

Module 3: Cluster Planning

  • · Types of Rack
  • · General Principal of selecting CPU Memory and hardware
  • · Understand Hardware Consideration
  • · Machines requirement as per the daemons
  • · Learn Best Practice for selecting hardware

Know the network Consideration

Module 4: Hadoop Cluster Administration, Backup, Recovery and Maintenance

  • · SafeMode
  • · Decommissioning, Commissioning and Re-Commissioning of Node
  • · Trash Functionality
  • · Distcp
  • · Rack Awareness
  • · HDFS / Hadoop Balancer

Module 5: Managing Resources and Scheduling

  • · Scheduler: Explanation and demo
  • o Capacity Scheduler


Module 6: HDFS Federation and High Availability

  • · Understand the YARN framework
  • · Understand the Federation
  • · Understand High Availability
  • · High Availability Implementation Using Quorum Journal Manager


Module 7: Cloudera Setup and Performance Tuning

  • · Cloudera Distribution Hadoop
  • · Cloudera Features
  • · Cloudera Manager Editions
  • · Cloudera Manager Web UI
  • · CDH Installation

Module 8: Security

  • · Basics of Hadoop Platform Security
  • · Securing the Platform
  • · Understand Kerberos

Configuring Kerberos on Cloudera Hadoop Cluster using LDAP authentication

  COUPON UDEMY

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