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30-Day Money-Back Guarantee

This course includes:

  • 21.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
IT & Software IT Certification Cloudera

CCA 131 - Cloudera Certified Hadoop and Spark Administrator

Prepare for CCA 131 by setting up cluster from scratch and performing tasks based on scenarios derived from curriculum.
Bestseller
Rating: 4.5 out of 54.5 (382 ratings)
6,572 students
Created by Durga Viswanatha Raju Gadiraju, Ritesh varma, Itversity Support
Last updated 6/2019
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Prepare for CCA 131 Administrator Exam
  • Provision Cluster from GCP (Google Cloud Platform)
  • Create Virtual Machines using Vagrant
  • Setup Ansible for server automation
  • Setup 8 node cluster from scratch using CDH
  • Understand Architecture of HDFS, YARN, Spark, Hive, Hue and many more
Curated for the Udemy for Business collection

Requirements

  • Basic Linux Skills
  • A 64 bit computer with minimum of 4 GB RAM
  • Operating System - Windows 10 or Mac or Linux Flavor

Description

CCA 131 is certification exam conducted by the leading Big Data Vendor, Cloudera. This online proctored exam is scenario based which means it is very hands on. You will be provided with multi-node cluster and need to take care of given tasks.

To prepare the certification one need to have hands on exposure in building and managing the clusters. However, with limited infrastructure it is difficult to practice in a laptop. We understand that problem and built the course using Google Cloud Platform where you can get credit up to $300 till offer last and use it to get hands on exposure in building and managing Big Data Clusters using CDH.

Required Skills

Install - Demonstrate an understanding of the installation process for Cloudera Manager, CDH, and the ecosystem projects.

  • Set up a local CDH repository

  • Perform OS-level configuration for Hadoop installation

  • Install Cloudera Manager server and agents

  • Install CDH using Cloudera Manager

  • Add a new node to an existing cluster

  • Add a service using Cloudera Manager

Configure - Perform basic and advanced configuration needed to effectively administer a Hadoop cluster

  • Configure a service using Cloudera Manager

  • Create an HDFS user's home directory

  • Configure NameNode HA

  • Configure ResourceManager HA

  • Configure proxy for Hiveserver2/Impala

Manage - Maintain and modify the cluster to support day-to-day operations in the enterprise

  • Rebalance the cluster

  • Set up alerting for excessive disk fill

  • Define and install a rack topology script

  • Install new type of I/O compression library in cluster

  • Revise YARN resource assignment based on user feedback

  • Commission/decommission a node

Secure - Enable relevant services and configure the cluster to meet goals defined by security policy; demonstrate knowledge of basic security practices

  • Configure HDFS ACLs

  • Install and configure Sentry

  • Configure Hue user authorization and authentication

  • Enable/configure log and query redaction

  • Create encrypted zones in HDFS

Test - Benchmark the cluster operational metrics, test system configuration for operation and efficiency

  • Execute file system commands via HTTPFS

  • Efficiently copy data within a cluster/between clusters

  • Create/restore a snapshot of an HDFS directory

  • Get/set ACLs for a file or directory structure

  • Benchmark the cluster (I/O, CPU, network)

Troubleshoot - Demonstrate ability to find the root cause of a problem, optimize inefficient execution, and resolve resource contention scenarios

  • Resolve errors/warnings in Cloudera Manager

  • Resolve performance problems/errors in cluster operation

  • Determine reason for application failure

  • Configure the Fair Scheduler to resolve application delays

Our Approach

  • You will start with creating Cloudera QuickStart VM (in case you have laptop with 16 GB RAM with Quad Core). This will facilitate you to get comfortable with Cloudera Manager.

  • You will be able to sign up for GCP and avail credit up to $300 while offer lasts. Credits are valid up to year.

  • You will then understand brief overview about GCP and provision 7 to 8 Virtual Machines using templates. You will also attaching external hard drive to configure for HDFS later.

  • Once servers are provisioned, you will go ahead and set up Ansible for Server Automation.

  • You will take care of local repository for Cloudera Manager and Cloudera Distribution of Hadoop using Packages.

  • You will then setup Cloudera Manager with custom database and then Cloudera Distribution of Hadoop using Wizard that comes as part of Cloudera Manager.

  • As part of setting up of Cloudera Distribution of Hadoop you will setup HDFS, learn HDFS Commands, Setup YARN, Configure HDFS and YARN High Availability, Understand about Schedulers, Setup Spark, Transition to Parcels, Setup Hive and Impala, Setup HBase and Kafka etc.

  • Once all the services are configured, we will revise for exam by mapping with required skills of the exam.

Who this course is for:

  • System Administrators who want to understand Big Data eco system and setup clusters
  • Experienced Big Data Administrators who want to prepare for the certification exam
  • Entry level professionals who want to learn basics and Setup Big Data Clusters

Course content

20 sections • 169 lectures • 21h 15m total length

  • Preview05:57
  • Preview03:41
  • Understanding required skills for the certification
    04:42
  • Understanding the environment provided while taking the exam
    03:03
  • Signing up for the exam
    04:28

  • Preview01:30
  • Preview02:15
  • Preview02:36
  • Preview04:24
  • Cloudera QuickStart VM – Quick Tour
    08:23

  • Introduction
    01:46
  • Setup Ubuntu using Windows Subsystem
    05:28
  • Preview07:09
  • Create template for Big Data Server
    04:47
  • Provision Servers for Big Data Cluster
    09:52
  • Review Concepts
    11:43
  • Setting up gcloud
    12:58
  • Preview05:29
  • Preview06:06
  • Cluster Topology
    11:30

  • Introduction
    08:29
  • Overview of yum
    07:44
  • Setup httpd service
    10:32
  • Setup local yum repository - Cloudera Manager
    09:48
  • Setup local yum repository - Cloudera Distribution of Hadoop (CDH)
    04:49
  • Copy repo files
    10:17

  • Introduction
    01:44
  • Setup Pre-requisites
    05:41
  • Install Cloudera Manager
    06:06
  • Licensing and Installation Options
    05:16
  • Install CM and CDH on all nodes
    09:05
  • CM Agents and CM Server
    04:44
  • Setup Cloudera Management Service
    06:03
  • Cloudera Management Service – Components
    09:13

  • Introduction
    02:12
  • Learning Process
    05:25
  • Setup Zookeeper
    10:06
  • Review important properties
    06:49
  • Zookeeper Concepts
    13:45
  • Important Zookeeper Commands
    10:16

  • Introduction
    06:26
  • Setup HDFS
    18:40
  • Copy Data into HDFS
    08:45
  • Copy Data into HDFS Contd
    10:42
  • Components of HDFS
    10:57
  • Components of HDFS Contd
    10:03
  • Configuration files and Important Properties
    19:17
  • Review Web UIs and log files
    16:02
  • Checkpointing
    12:11
  • Checkpointing Contd
    09:24
  • Namenode Recovery Process
    07:15
  • Configure Rack Awareness
    10:23

  • Introduction
    02:17
  • Getting list of commands and help
    14:42
  • Creating Directories and Changing Ownership
    08:38
  • Managing Files and File Permissions - Deleting Files from HDFS
    06:45
  • Managing Files and File Permissions - Copying Files Local File System and HDFS
    13:45
  • Managing Files and File Permissions - Copying Files within HDFS
    06:26
  • Managing Files and File Permissions - Previewing Data in HDFS
    05:00
  • Managing Files and File Permissions - Changing File Permissions
    08:43
  • Controlling Access using ACLs - Enable ACLs On Cluster
    02:59
  • Controlling Access using ACLs - ACLs On Files
    05:05
  • Controlling Access using ACLs - ACLs On Directories
    10:08
  • Controlling Access using ACLs - Removing ACLs
    04:03
  • Overriding Properties
    11:11
  • HDFS usage commands and getting metadata
    11:54
  • Creating Snapshots
    05:21
  • Using CLI for administration
    09:06

  • Introduction
    03:38
  • Setup YARN + MR2
    09:28
  • Run Simple Map Reduce Job
    07:15
  • Components of YARN and MR2
    05:48
  • Configuration files and Important Properties - Overview
    04:10
  • Configuration files and Important Properties - Review YARN Properties
    13:18
  • Configuration files and Important Properties - Review Map Reduce Properties
    08:18
  • Configuration files and Important Properties - Running Jobs
    13:05
  • Review Web UIs and log files
    13:20
  • YARN and MR2 CLI
    14:54
  • YARN Application Life Cycle
    05:08
  • Map Reduce Job Execution Life Cycle
    18:40

  • Introduction
    01:37
  • High Availability – Overview
    04:14
  • Configure HDFS Namenode HA
    12:16
  • Review Properties – HDFS Namenode HA
    05:41
  • HDFS Namenode HA – Quick Recap of HDFS typical Configuration
    07:52
  • HDFS Namenode HA – Components
    06:35
  • HDFS Namenode HA – Automatic failover
    05:37
  • Configure YARN Resource Manager HA
    03:22
  • Review – YARN Resource Manager HA
    06:10
  • High Availability – Implications
    07:35

Instructors

Durga Viswanatha Raju Gadiraju
Technology Adviser and Evangelist
Durga Viswanatha Raju Gadiraju
  • 4.2 Instructor Rating
  • 9,067 Reviews
  • 167,365 Students
  • 18 Courses

13+ years of experience in executing complex projects using vast array of technologies including Big Data and Cloud.

ITVersity, Inc. - a US based organization to provide quality training for IT professionals and we have the track record of training hundreds of thousands of professionals globally.

Building IT career for people with required tools such as high quality material, labs, live support etc to upskill and cross skill is paramount for our organization.

At this time our training offerings are focused on following areas:

* Application Development using Python and SQL

* Big Data and Business Intelligence

* Cloud

* Datawarehousing, Databases

Ritesh varma
RV
  • 4.5 Instructor Rating
  • 382 Reviews
  • 14,272 Students
  • 1 Course
Itversity Support
Support Account for ITVersity Courses.
Itversity Support
  • 4.2 Instructor Rating
  • 8,424 Reviews
  • 151,590 Students
  • 15 Courses

We have built a team to support going forward. If you send messages to this account for our courses, they will be sent to our Helpdesk from where we will be rewriting to our team.

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