Udemy

CCA131 Cloudera CDH 5 & 6 Hadoop Administrator Master Course

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  • 5,354 名學生
  • 更新於 2/2021
4.6
(1,140 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
15 小時 13 分鐘
教學語言
英語
授課導師
Muthukumar Subramanian
評分
4.6
(1,140 個評分)
13次瀏覽

課程簡介

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.

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."

  • 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."

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

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

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


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


課程章節

  • 32 個章節
  • 120 堂課
  • 第 1 章 Foundation - iSMAC, Lambda Architecture and Machine Learning
  • 第 2 章 AWS - Amazon Web Services
  • 第 3 章 Hadoop Foundation on HDFS and YARN.
  • 第 4 章 Cloudera Installation - Repository setup, httpd, path B installation
  • 第 5 章 HDFS Basics shell commands
  • 第 6 章 HDFS High Availabiliity HA - Concept, Setup, Configure, Test, Verify, Remove
  • 第 7 章 HDFS Manage - Balancer, Maintenance, Quota Management, Canary Test
  • 第 8 章 HDFS Checkpoint. Understand, Manage, Work with Edits, FSImage, Roll Edits,
  • 第 9 章 HDFS Advanced - Snapshot, WebHDFS, Federation, Recovery, httpFS, Edge Node
  • 第 10 章 Cloudera Manage - Commission , Decommission, Client configuration, Host Template
  • 第 11 章 LDAP - Install, Configure OS, phpLDAPAdmin Client
  • 第 12 章 YARN - Components, Submit MR
  • 第 13 章 Resource manager - Scheduler Types, Dynamic Resource Pool, High Availability
  • 第 14 章 Apache Zookeeper - Install, Configure
  • 第 15 章 Apache Hive - Manage, Setup HA, Beeline, WebHCat, HCatalog, Warehouse dir config
  • 第 16 章 Apache Oozie - Install, Configure
  • 第 17 章 Hadoop User Interface (HUE) - Setup, Install, LDAP Integration, Extended ACL
  • 第 18 章 Sentry - Install, Configure , Role based authentication, LDAP Integration
  • 第 19 章 Impala - Install, Configure, Compare with Hive, Architecture
  • 第 20 章 Kerberos - Install, Configure, Verify, Secure
  • 第 21 章 Sqoop - Data Ingestion
  • 第 22 章 HBase - Hadoop Base - NoSQL Database
  • 第 23 章 Flume - Single and Multi Agent Data Ingestion
  • 第 24 章 HDFS Encryption
  • 第 25 章 Apache Spark Installation, Configuration and Administration
  • 第 26 章 Apache Kafka Installation, Configuration and Administration
  • 第 27 章 Hadoop Benchmarking
  • 第 28 章 Memory Management - Container, JVM, Role, Node Memory and Performance Management
  • 第 29 章 HDFS Redaction, IO Compression, distcp, file copy
  • 第 30 章 Reports, Charts and Dashboard
  • 第 31 章 Cloudera 6
  • 第 32 章 Reference

課程內容

  • 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


評價

  • C
    Claudia Rocio Aguilar Gallardo
    4.0

    Muy práctico y especifico para lo que necesito

  • M
    Manohar dindi
    4.5

    Awesome course. Completed course in 45 days. Now challenge to execute/implement them in Real cluster i work with. Thank you Muthu

  • C
    Carolina Robles Fernandes
    5.0

    O curso esta muito completo, até em algumas questões que não caem na prova mas ele aborda falando de integrações OpenLdap e Kerberos por exemplo.

  • L
    Lyndon Voorhees
    3.0

    English is difficult to understand. Great course presentation and knowledge of material. A few blurred screens.

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