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IT & Software IT Certification Cloudera

CCA131 Cloudera CDH 5 & 6 Hadoop Administrator Master Course

Master Cloudera CDH Admin. Spin up cluster in AWS, Mess it, Fix it, Play it and Learn. Real time demo on CCA131 Topics.
Rating: 4.3 out of 54.3 (898 ratings)
3,610 students
Created by MUTHUKUMAR Subramanian
Last updated 2/2021
English
English
30-Day Money-Back Guarantee

What you'll learn

  • Successful Hadoop Cloudera Administrator
  • Start working in Hadoop Cloudera Production Environment
  • Install, Configure, Manage, Secure, Test and Troubleshoot Hadoop Cloudera Cluster
  • Manage and secure production grade Hadoop Cloudera Cluster

Requirements

  • Linux, Cloud Basics, System Administration will be added advantage
  • AWS account registration. This course will guide through setup of production grade Hadoop Cloudera Cluster in AWS Cloud.
  • Knowing any system setup experience will be added advantage will make the learning experience more enjoyable.
  • Basic understanding of IT administration or development activities

Description

This course is designed for professionals from zero experience to already skilled professionals to enhance their learning. Hands on session covers on end to end setup of Cloudera Cluster. We will be using AWS EC2 instances to deploy the cluster. 

COURSE UPDATED PERIODICALLY SINCE LAUNCH  (Cloudera 6)

What students are saying:

  • 5 stars, "Very clear and adept in delivering the content. Learnt a lot. He covers the material 360 degrees and keeps the students in minds." - Sasidhar Thiriveedhi

  • 5 stars, "This course is an absolute paradigm shift for me. This is really an amazing course, and you shouldn't miss if you are a novice/intermediate level in Cloudera Administration." - Santhosh G

  • 5 stars, "Great work by the instructor... highly recommended..." - Phani Raj

  • 5 stars, "It is really excellent course. A lot of learning materials." - Shaiukh Noor

  • 5 stars, "This course is help me a lot for my certification preparation. thank you!" - Muhammad Faridh Ronianto


The course is targeted at Software Engineers, System Analysts, Database Administrators, Devops engineer and System Administrators who want to learn about Big Data Ecosystem with Cloudera. Other IT professionals can also take this course, but might have to do some extra work to understand some of the advanced concepts. 

Cloudera being the market leader in Big data space, Hadoop Cloudera administration brings in huge job opportunities in Cloudera and Big data domain. Covers all the required skills as follows for  CCA131 Certification

  • Install - Demonstrating and Installation of Cloudera Manager, Cloudera Data Hadoop (CDH) and Hadoop Ecosystem components

  • Configure - Basic to advanced configurations to setup Cloudera manager, Namenode High Availability (HA), Resource manager High Availability(HA)

  • Manage - Create and maintain day-to-day activities and operations in Cloudera Cluster like Cluster balancing, Alert setup, Rack topology management, Commissioning, Decommissioning hosts, YARN resource management with FIFO, Fair, Capacity Schedulers, Dynamic Resource Manager Configurations

  • Secure - Enabling relevant service and configuration to add security to meet the organisation goals with best practice. Configure extended Access Control List (ACL), Configure Sentry, Hue authorization and authentication with LDAP, HDFS encrypted zones

  • Test - Access file system commands via HTTPFS, Create, restore snapshot for HDFS directory, Get/Set extended ACL for a file or directory, Benchmark the cluster

  • Troubleshoot - Ability to find the cause of any problem, resolve them, optimize inefficient execution. Identify and filter out the warnings and predict the problem and apply the right solution, Configure dynamic resource pool configuration for better optimized use of cluster. Find the Scalability bottleneck and size the cluster.

  • Planning - Sizing and identify the dependencies, hardware and software requirements.

Getting a real time distributed environment with N number of machines at enterprise quality will be very costly. Thanks to Cloud which can help any user to create distributed environment with very minimal expenditure and pay only for what you are using it. AWS is very much technology neutral and all other cloud providers like Microsoft Azure, IBM Bluemix, Google Compute cloud, etc., works the similar way.

+++++Content Added on Request++++

Dec ++ Cloudera 6 Overview and Quick Install

Nov ++ HDFS Redaction

Nov ++ Memory management - Heap Calculation for Roles and Namenode

Nov ++ IO Compression

Nov ++ Charts and Dashboard

Oct ++ File copy, distcp

Oct ++ Command files added for all the section.

Sep ++ Kafka Service Administration

Sep ++ Spark Service Administration

Aug ++ Cluster Benchmarking


Who this course is for:

  • Those who are taking CCA Hadoop Cloudera Administrator Exam (CCA131)
  • Anyone who want to become Cloudera Hadoop Administrator
  • Switching from Mainframe / Testing / Analytics domain to Cloudera Hadoop Administration domain
  • Data Scientists / Technical Architects / Software Developers / Testing and Mainframe Professionals
  • Hadoop Developer and Hadoop Cloudera Administrator who wants to work in Production like environment
  • Create production like environment for test or production purpose

Course content

33 sections • 121 lectures • 15h 13m total length

  • Preview04:59
  • Preview05:38
  • Understanding Machine Learning and it Application in Bigdata World
    Preview04:28

  • Preview01:13
  • AWS - Signup and Billing (Important - Pricing related)
    04:36
  • AWS - Zones and Regions
    02:57
  • AWS - Launch EC2 Instance
    07:57
  • AWS - Simple Storage Service (S3)
    03:04
  • Preview04:19
  • Preview16:09
  • AWS - EC2 Spot Instances
    04:39
  • AWS - Relational Data Service (RDS)
    08:32

  • HDFS - Hadoop Distributed File System
    04:17
  • YARN - Yet another Resource Negotiator
    02:48
  • MySQL Database setup and Installation
    14:36

  • Prepare AWS AMI for Cloudera Installation
    14:40
  • Install - Cloudera Data Hadoop (CDH) Quick Install
    17:42
  • Installation Notes
    00:05
  • Cloudera Installation Phases and Paths
    Preview02:25
  • Cloudera Manager Introduction and Overview
    03:39
  • Cloudera Parcels
    01:42
  • Cloudera Repository Setup with Apache httpd
    09:52
  • Cloudera Installation Path B with local repository - AMI Prepare
    17:51
  • Cloudera Installation Path B - Manager Installation and Configuration
    12:23
  • Cloudera Installation Path B - Agent and CDH Installation and Configuration
    17:50
  • Add Cluster, Add Service and Delete Cluster life cycle
    10:09

  • HDFS Shell Commands
    12:17
  • HDFS Trash
    08:27

  • HDFS High Availability (HA) - Concepts
    03:00
  • Preview03:47
  • HDFS High Availability (HA) - Test
    05:06
  • Preview04:21

  • Preview05:37
  • HDFS Maintenance Mode
    05:06
  • HDFS Quota Management
    12:51
  • Preview02:48
  • HDFS Rack Awareness
    07:21

  • HDFS Edits FSImage Introduction
    04:36
  • HDFS Checkpoint Introduction and Deepdive
    06:58
  • HDFS Edits FSImage - Offline Image View (OIV) and Offline Edits View (OEV)
    06:36
  • HDFS Roll Edits
    12:18
  • HDFS Save Namespace
    16:43

  • HDFS Snapshot
    13:26
  • Preview04:04
  • HDFS Edge Node
    12:41
  • HDFS WebHDFS
    08:47
  • HDFS httpFS
    06:48
  • HDFS FSCK Utility
    09:15
  • Preview07:35
  • HDFS Federation
    19:26
  • HDFS - Home Directory
    03:41

  • Cluster Commission and Decommission
    08:53
  • Cluster Client Configuration
    06:50
  • Cluster Host Template
    03:40

Instructor

MUTHUKUMAR Subramanian
Best Selling Instructor, Big Data, Spark, Cloud, Java, AWS
MUTHUKUMAR Subramanian
  • 4.2 Instructor Rating
  • 2,492 Reviews
  • 14,275 Students
  • 19 Courses

A SMAC technologist passionate about creating solutions that will yield better results. New technology adviser and a startup incubator implementing innovative approaches, products and solutions by embracing latest technology. Worked on various technologies includingSpring Framework,  Apache Spark, Apache Flink, Mllib, Graph Processing, AWS, Medium to Large Hadoop Clusters, Cluster administration and setup. Having more than 19 years of industrial experience in various domains like Banking, Finance, Insurance, Staffing, etc.,

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