Practical Guide To Setup Hadoop And Spark Cluster Using Cdh

Last updated 6/2019
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.02 GB | Duration: 20h 56m

Step by step instructions to setup Hadoop and Spark Cluster using Cloudera Distribution of Hadoop (Formerly CCA 131)
What you’ll learn
Learn Hadoop and Spark Administration using CDH
Provision Cluster from GCP (Google Cloud Platform) to setup Hadoop and Spark Cluster using CDH
Setup Ansible for server automation to setup pre-requisites to setup Hadoop and Spark Cluster using CDH
Setup 8 node cluster from scratch using CDH
Understand Architecture of HDFS, YARN, Spark, Hive, Hue and many more
Requirements
Basic Linux Skills
A 64 bit computer with minimum of 4 GB RAM
Operating System – Windows 10 or Mac or Linux Flavor
Description
Cloudera is one of the leading vendor for distributions related to Hadoop and Spark. As part of this Practical Guide, you will learn step by step process of setting up Hadoop and Spark Cluster using CDH.Install – Demonstrate an understanding of the installation process for Cloudera Manager, CDH, and the ecosystem projects.Set up a local CDH repositoryPerform OS-level configuration for Hadoop installationInstall Cloudera Manager server and agentsInstall CDH using Cloudera ManagerAdd a new node to an existing clusterAdd a service using Cloudera ManagerConfigure – Perform basic and advanced configuration needed to effectively administer a Hadoop clusterConfigure a service using Cloudera ManagerCreate an HDFS user’s home directoryConfigure NameNode HAConfigure ResourceManager HAConfigure proxy for Hiveserver2/ImpalaManage – Maintain and modify the cluster to support day-to-day operations in the enterpriseRebalance the clusterSet up alerting for excessive disk fillDefine and install a rack topology scriptInstall new type of I/O compression library in clusterRevise YARN resource assignment based on user feedbackCommission/decommission a nodeSecure – Enable relevant services and configure the cluster to meet goals defined by security policy; demonstrate knowledge of basic security practicesConfigure HDFS ACLsInstall and configure SentryConfigure Hue user authorization and authenticationEnable/configure log and query redactionCreate encrypted zones in HDFSTest – Benchmark the cluster operational metrics, test system configuration for operation and efficiencyExecute file system commands via HTTPFSEfficiently copy data within a cluster/between clustersCreate/restore a snapshot of an HDFS directoryGet/set ACLs for a file or directory structureBenchmark the cluster (I/O, CPU, network)Troubleshoot – Demonstrate ability to find the root cause of a problem, optimize inefficient execution, and resolve resource contention scenariosResolve errors/warnings in Cloudera ManagerResolve performance problems/errors in cluster operationDetermine reason for application failureConfigure the Fair Scheduler to resolve application delaysOur ApproachYou 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.
Overview
Section 1: Introduction – CCA 131 Cloudera Certified Hadoop and Spark Administrator
Lecture 1 Introduction to the course
Lecture 2 CCA 131 – Administrator – Official Page
Lecture 3 Understanding required skills for the certification
Lecture 4 Understanding the environment provided while taking the exam
Lecture 5 Signing up for the exam
Section 2: Getting Started – Provision instances from Google Cloud
Lecture 6 Introduction
Lecture 7 Setup Ubuntu using Windows Subsystem
Lecture 8 Sign up for GCP
Lecture 9 Create template for Big Data Server
Lecture 10 Provision Servers for Big Data Cluster
Lecture 11 Review Concepts
Lecture 12 Setting up gcloud
Lecture 13 Setup ansible on first server
Lecture 14 Format JBOD
Lecture 15 Cluster Topology
Section 3: Getting Started – Setup local yum repository server – CDH
Lecture 16 Introduction
Lecture 17 Overview of yum
Lecture 18 Setuphttpd service
Lecture 19 Setup local yum repository – Cloudera Manager
Lecture 20 Setup local yum repository – Cloudera Distribution of Hadoop (CDH)
Lecture 21 Copy repo files
Section 4: Install CM and CDH – Setup CM, Install CDH and Setup Cloudera Management Service
Lecture 22 Introduction
Lecture 23 Setup Pre-requisites
Lecture 24 Install Cloudera Manager
Lecture 25 Licensing and Installation Options
Lecture 26 Install CM and CDH on all nodes
Lecture 27 CM Agents and CM Server
Lecture 28 Setup Cloudera Management Service
Lecture 29 Cloudera Management Service – Components
Section 5: Install CM and CDH – Configure Zookeeper
Lecture 30 Introduction
Lecture 31 Learning Process
Lecture 32 Setup Zookeeper
Lecture 33 Review important properties
Lecture 34 Zookeeper Concepts
Lecture 35 Important Zookeeper Commands
Section 6: Install CM and CDH – Configure HDFS and Understand Concepts
Lecture 36 Introduction
Lecture 37 Setup HDFS
Lecture 38 Copy Data into HDFS
Lecture 39 Copy Data into HDFS Contd
Lecture 40 Components of HDFS
Lecture 41 Components of HDFS Contd
Lecture 42 Configuration files and Important Properties
Lecture 43 Review Web UIs and log files
Lecture 44 Checkpointing
Lecture 45 Checkpointing Contd
Lecture 46 Namenode Recovery Process
Lecture 47 Configure Rack Awareness
Section 7: Install CM and CDH – Important HDFS Commands
Lecture 48 Introduction
Lecture 49 Getting list of commands and help
Lecture 50 Creating Directories and Changing Ownership
Lecture 51 Managing Files and File Permissions – Deleting Files from HDFS
Lecture 52 Managing Files and File Permissions – Copying Files Local File System and HDFS
Lecture 53 Managing Files and File Permissions – Copying Files within HDFS
Lecture 54 Managing Files and File Permissions – Previewing Data in HDFS
Lecture 55 Managing Files and File Permissions – Changing File Permissions
Lecture 56 Controlling Access using ACLs – Enable ACLs On Cluster
Lecture 57 Controlling Access using ACLs – ACLs On Files
Lecture 58 Controlling Access using ACLs – ACLs On Directories
Lecture 59 Controlling Access using ACLs – Removing ACLs
Lecture 60 Overriding Properties
Lecture 61 HDFS usage commands and getting metadata
Lecture 62 Creating Snapshots
Lecture 63 Using CLI for administration
Section 8: Install CM and CDH – Configure YARN + MRv2 and Understand Concepts
Lecture 64 Introduction
Lecture 65 Setup YARN + MR2
Lecture 66 Run Simple Map Reduce Job
Lecture 67 Components of YARN and MR2
Lecture 68 Configuration files and Important Properties – Overview
Lecture 69 Configuration files and Important Properties – Review YARN Properties
Lecture 70 Configuration files and Important Properties – Review Map Reduce Properties
Lecture 71 Configuration files and Important Properties – Running Jobs
Lecture 72 Review Web UIs and log files
Lecture 73 YARN and MR2 CLI
Lecture 74 YARN Application Life Cycle
Lecture 75 Map Reduce Job Execution Life Cycle
Section 9: Install CM and CDH – Configuring HDFS and YARN HA
Lecture 76 Introduction
Lecture 77 High Availability – Overview
Lecture 78 Configure HDFS Namenode HA
Lecture 79 Review Properties – HDFS Namenode HA
Lecture 80 HDFS Namenode HA – Quick Recap of HDFS typical Configuration
Lecture 81 HDFS Namenode HA – Components
Lecture 82 HDFS Namenode HA – Automatic failover
Lecture 83 Configure YARN Resource Manager HA
Lecture 84 Review – YARN Resource Manager HA
Lecture 85 High Availability – Implications
Section 10: Install CM and CDH – YARN Schedulers – FIFO, Fair, and Capacity
Lecture 86 Introduction
Lecture 87 Schedulers Overview
Lecture 88 FIFO Scheduler
Lecture 89 Introduction to Fair Scheduler
Lecture 90 Configure Fair Scheduler – Configure Cluster with Fair Scheduler
Lecture 91 Configure Fair Scheduler – Running Jobs Without Specifying Queue
Lecture 92 Configure Fair Scheduler – Running Jobs Specifying Queue
Lecture 93 Configure Fair Scheduler – Important Properties
Lecture 94 Capacity Scheduler – Introduction
Lecture 95 Capacity Scheduler – Configure using Cloudera Manager
Lecture 96 Capacity Scheduler – Run Sample Jobs
Section 11: Install Other Components – Spark Overview and Installation
Lecture 97 Introduction
Lecture 98 Setup and Validate Spark 1.6.x
Lecture 99 Review Important Properties
Lecture 100 Spark Execution Life Cycle
Lecture 101 Convert Cluster to Parcels
Lecture 102 Setup Spark 2.3.x
Lecture 103 Run Spark Jobs – Spark 2.3.x
Section 12: Install Other Components – Configuring Database Engines – Hive and Impala
Lecture 104 Introduction
Lecture 105 Setup Hive and Impala
Lecture 106 Validating Hive and Impala
Lecture 107 Components and Properties of Hive
Lecture 108 Troubleshooting Hive Issues
Lecture 109 Hive Commands and Queries
Lecture 110 Different Query Engines
Lecture 111 Components and Properties of Impala
Lecture 112 Running Queries using Impala – Overview
Section 13: Install Other Components – Configure Hadoop Ecosystem components
Lecture 113 Introduction
Lecture 114 Setup Oozie, Pig, Sqoop and Hue
Lecture 115 Review Important Properties
Lecture 116 Run Sample Oozie job
Lecture 117 Run Pig Job
Lecture 118 Validate Sqoop
Lecture 119 Overview of Hue
Section 14: Install Other Components – Install and Configure Kafka and HBase
Lecture 120 Introduction
Lecture 121 Kafka Overview
Lecture 122 Setup Parcels and Add Kafka Service
Lecture 123 Validate Kafka
Lecture 124 Setting up HBase
Lecture 125 Validate HBase
Section 15: CCA 131 – Revision for the Exam – Install the Cluster
Lecture 126 Introduction
Lecture 127 Set up a local CDH Repository
Lecture 128 Perform OS-level Configuration
Lecture 129 Install Cloudera Manager Server and Agents
Lecture 130 Install CDH using Cloudera Manager
Lecture 131 Add a New Node to an Existing Cluster
Lecture 132 Install – Add Host as Worker
Lecture 133 Add a Service using Cloudera Manager
Section 16: CCA 131 – Revision for the Exam – Configure the Cluster
Lecture 134 Introduction
Lecture 135 Configure a Service using Cloudera Manager
Lecture 136 Create an HDFS user’s home directory
Lecture 137 Configure NameNode HA
Lecture 138 Configure ResourceManager HA
Lecture 139 Configure proxy for HiveServer2/Impala – Install HA Proxy
Lecture 140 Configure proxy for HiveServer2
Lecture 141 Configure proxy for Impala
Section 17: CCA 131 – Revision for the Exam – Manage the Cluster
Lecture 142 Introduction
Lecture 143 Rebalance the cluster
Lecture 144 Set up alerting for excessive disk fill
Lecture 145 Define and install a rack topology script
Lecture 146 Add I/O Compression Library
Lecture 147 YARN Resource Assignment
Lecture 148 Commission/Decommission a node
Section 18: CCA 131 – Revision for the Exam – Secure the Cluster
Lecture 149 Introduction
Lecture 150 Configure HDFS ACLs
Lecture 151 Install and Configure Sentry
Lecture 152 Configure Hue user authorization and authentication
Lecture 153 Enable or Configure Log and Query Redaction
Lecture 154 Create Encrypted Zones in HDFS – Enable Encryption
Lecture 155 Create Encrypted Zones in HDFS – Create Encryption Keys and Zones
Section 19: CCA 131 – Revision for the Exam – Test and Troubleshoot the Cluster
Lecture 156 Introduction
Lecture 157 Execute file system commands via HTTPFS
Lecture 158 Efficiently copy data within a cluster
Lecture 159 Efficiently copy data between clusters
Lecture 160 Create/Restore a snapshot of an HDFS directory
Lecture 161 Get/Set ACLs for a file or directory structure
Lecture 162 Benchmark the cluster (I/O, CPU, network)
Lecture 163 Resolve errors/warnings in Cloudera Manager
Lecture 164 Resolve performance problems/errors in cluster operation
System Administrators who want to understand Big Data eco system and setup clusters,Experienced Big Data Administrators who want to learn how to manage Hadoop and Spark Clusters setup using CDH,Entry level professionals who want to learn basics and Setup Big Data Clusters

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Practical Guide To Setup Hadoop And Spark Cluster Using Cdh

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