Cloudera - Administrator for Apache Hadoop Training

Live Online & Classroom Enterprise Certification Training

A certified Cloudera administrator training course on Cloudera Administrator for Apache Hadoop proves that you have explicitly demonstrated your technical knowledge, skills, and ability to configure, deploy, manage, and secure Apache Hadoop cluster.

Looking for a private batch ?

REQUEST A CALLBACK

Enterprise Reporting
Lifetime Access
CloudLabs
24x7 Support
Real-time code analysis and feedback

What is Cloudera Administrator Training about?

Starting from the very basic, this advanced course on Apache Hadoop Administration teaches you the functions and major goals of HDFS, explains how YARN works, and then covers Hadoop cluster planning, installation and administration. This course also teaches Resource management, logging and monitoring.

What are the objectives of Cloudera Administrator Training ?

Understand Hadoop Distributed File System Understand YARN Learn Hadoop Cluster Planning, Installation and Administration

What are the prerequisites for Cloudera Administrator Training?

Basic Networking Concepts and operating system knowledge

Available Training Modes

Live Online Training

18 Hours

Classroom Training

3 Days

Course Outline Expand All

Expand All

HDFS

Describe the function of HDFS daemons

Describe the normal operation of an Apache Hadoop cluster, both in data storage and in data processing

Identify current features of computing systems that motivate a system like Apache Hadoop

Classify major goals of HDFS Design

Given a scenario, identify appropriate use case for HDFS Federation

Identify components and daemon of an HDFS HA-Quorum cluster

Analyze the role of HDFS security (Kerberos)

Determine the best data serialization choice for a given scenario

Describe file read and write paths

Identify the commands to manipulate files in the Hadoop File System Shell

YARN

Understand how to deploy core ecosystem components, including Spark, Impala, and Hive

Understand how to deploy MapReduce v2 (MRv2 / YARN), including all YARN daemons

Understand basic design strategy for YARN and Hadoop

Determine how YARN handles resource allocations

Identify the workflow of job running on YARN

Determine which files you must change and how in order to migrate a cluster from MapReduce version 1 (MRv1) to MapReduce version 2 (MRv2) running on YARN

Hadoop Cluster Planning

Principal points to consider in choosing the hardware and operating systems to host an Apache Hadoop cluster

Analyze the choices in selecting an OS

Understand kernel tuning and disk swapping

Given a scenario and workload pattern, identify a hardware configuration appropriate to the scenario

Given a scenario, determine the ecosystem components your cluster needs to run in order to fulfill the SLA

Cluster sizing: given a scenario and frequency of execution, identify the specifics for the workload, including CPU, memory, storage, disk I/O

Disk Sizing and Configuration, including JBOD vs RAID, SANs, virtualization, and disk sizing requirements in a cluster

Network Topologies: understand network usage in Hadoop (for both HDFS and MapReduce) and propose or identify key network design components for a given scenario

Hadoop Cluster Installation and Administration

Given a scenario, identify how the cluster will handle disk and machine failures

Analyze a logging configuration and logging configuration file format

Understand the basics of Hadoop metrics and cluster health monitoring

Identify the function and purpose of available tools for cluster monitoring

Be able to install all the ecosystem components in CDH 5, including (but not limited to): Impala,

Flume, Oozie, Hue, Cloudera Manager, Sqoop, Hive, and Pig

Identify the function and purpose of available tools for managing the Apache Hadoop file system

Resource Management

Understand the overall design goals of each of Hadoop schedulers

Given a scenario, determine how the FIFO Scheduler allocates cluster resources

Given a scenario, determine how the Fair Scheduler allocates cluster resources under YARN

Given a scenario, determine how the Capacity Scheduler allocates cluster resources

Monitoring and Logging

Understand the functions and features of Hadoop's metric collection abilities

Analyze the NameNode and JobTracker Web UIs

Understand how to monitor cluster daemons

Identify and monitor CPU usage on master nodes

Describe how to monitor swap and memory allocation on all nodes

Identify how to view and manage Hadoop's log files

Interpret a log file

Who is the instructor for this training?

The trainer for this Cloudera - Administrator for Apache Hadoop Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Cloudera Administrator Training - Certification & Exam

SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our cloudera certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready to take up these certification exams and pass with flying colours.

Cloudera Certified Administrator for Apache Hadoop (CCAH)

https://www.cloudera.com/training/certification/ccah.html

A Cloudera Certified Administrator for Apache Hadoop (CCAH) certification proves that you have demonstrated your technical knowledge, skills, and ability to configure, deploy, maintain, and secure an Apache Hadoop cluster.

Cloudera Certified Administrator for Apache Hadoop (CCA-500)

Number of Questions: 60 questions
Time Limit: 90 minutes
Passing Score: 70%
Language: English, Japanese
Price: USD $295

Exam Registration

https://university.cloudera.com/content/CCA-500?_ga=1.73058963.1021900658.1475833748

Reviews

My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!

Shweta Priya

Sony

I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.

Swati Singh

I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.

Nikhil Kohli

Stryker

I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!

Heena Rajan

Mindtree