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.

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

This course is designed for professionals fromzero experienceto alreadyskilled professionalsto enhance their learning.Handson session covers on end to end setup of Cloudera Cluster.We will be using AWS EC2 instances to deploy the cluster.

COURSEUPDATEDPERIODICALLY SINCELAUNCH (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, HadoopCloudera 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 HighAvailability (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, HDFSencrypted zones

• Test - Access file system commands via HTTPFS, Create, restore snapshot for HDFSdirectory, 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