Big Data/Hadoop Admin

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Croma Campus widely recognized for its Big Data/Hadoop Admin Training in Noida which ensures to provide assured placement in Big Data. Anyone who has determination and passion to make their career in Big Data can join this course whether fresher/experienced/professionals/non-professionals. Apart from them this course is also suitable for candidates who are Java developers, Data Analyst, Graduate, Post Graduate with the interest to learn Hadoop Admin The course is for the one who have passion to build career in Big Data. Apart from that it is suitable for candidates who are Data Analyst, Java developers, IT Managers, Any graduate / post graduate with an interest to learn Hadoop. Apart from providing job also offers you with work experience that is required in the implementation of the Big Data analytic in the real-time industry.

Benefits of Big Data/ Hadoop Admin

  • Recruiters look for candidates with Hadoop certification over candidate without certification.
  • An edge over other professionals in the same field, in term of pay package.
  • Hadoop Certification helps you to accelerate your career..
  • Helpful for People who are trying to change into Hadoop from different technical backgrounds.
  • Authenticates hands-on experience while dealing with Big Data.
  • Verifies latest features of Hadoop.

Key Features of HadoopV2.0 & Big Data Administrator Training Training are:

  • Design POC (Proof of Concept): This process is used to ensure the feasibility of the client application.
  • Video Recording of every session will be provided to candidates.
  • Live Project Based Training.
  • Job-Oriented Course Curriculum.
  • Course Curriculum is approved by Hiring Professionals of our client.
  • Post Training Support will helps the associate to implement the knowledge on client Projects.
  • Certification Based Training are designed by Certified Professionals from the relevant industries focusing on the needs of the market & certification requirement.
  • Interview calls till placement.

Fundamental: Introduction to BIG Data

Introduction: Apache Hadoop

  • Why Hadoop?
  • Core Hadoop Components
  • Fundamental Concepts

Hadoop Installation and Initial Configuration

  • Deployment Types
  • Installing Hadoop
  • Specifying the Hadoop Configuration
  • Performing Initial HDFS Configuration
  • Performing Initial YARN and MapReduce Configuration
  • Hadoop Logging

Hadoop Security

  • Why Hadoop Security Is Important
  • Hadoop Security System Concepts
  • What Kerberos Is and How it Works
  • Securing a Hadoop Cluster with Kerberos

HDFS

  • HDFS Features
  • Writing and Reading Files
  • NameNode Memory Considerations
  • Overview of HDFS Security
  • Using the NameNode Web UI
  • Using the Hadoop File Shell

 

Fundamentals: Introduction to Hadoop and its Ecosystem

 Installing and Configuring Hive, Impala and Pig

  • Hive
  • Impala
  • Pig

Managing and Scheduling Jobs

  • Managing Running Jobs
  • Scheduling Hadoop Jobs
  • Configuring the FairScheduler
  • Impala Query Scheduling

Getting Data into HDFS

  • Ingesting Data from External Sources with Flume
  • Ingesting Data from Relational Databases with Sqoop
  • REST Interfaces
  • Best Practices for Importing Data

Hadoop Clients

  • What is a Hadoop Client?
  • Installing and Configuring Hadoop Clients
  • Installing and Configuring Hue
  • Authentication and Authorization

Cluster Maintenance

  • Checking HDFS Status
  • Copying Data between Clusters
  • Adding and Removing Cluster Nodes
  • Rebalancing the Cluster
  • Cluster Upgrading.

 

Fundamental: Introduction to BIG Data

YARN and MapReduce

  • What Is MapReduce?
  • Basic MapReduce Concepts
  • YARN Cluster Architecture
  • Resource Allocation
  • Failure Recovery
  • Using the YARN Web UI
  • MapReduce Version 1

Cloudera Manager

  • The Motivation for Cloudera Manager
  • Cloudera Manager Features
  • Express and Enterprise Versions
  • Cloudera Manager Topology
  • Installing Cloudera Manager
  • Installing Hadoop Using Cloudera Manager
  • Performing Basic Administration Tasks using Cloudera Manager

Cluster Monitoring and Troubleshooting

  • General System Monitoring
  • Monitoring Hadoop Clusters
  • Common Troubleshooting Hadoop Clusters
  • Common Misconfigurations

Planning Your Hadoop Cluster

  • General Planning Considerations
  • Choosing the Right Hardware
  • Network Considerations
  • Configuring Nodes
  • Planning for Cluster Management

Advanced Cluster Configuration

  • Advanced Configuration Parameters
  • Configuring Hadoop Ports
  • Explicitly Including and Excluding Hosts
  • Configuring HDFS for Rack Awareness
  • Configuring HDFS High Availability.
  • Cloudera Certified Administrator for Hadoop

    (CCAH) Exam Code: CCA-410

    hadoop_Certification

    Cloudera Certified Administrator for Apache Hadoop Exam :
    • Number of Questions: 60
    • Item Types: multiple-choice & short-answer questions
    • Exam time: 90 Mins.
    • Passing score: 70%
    • Price: $295 USD

    Syllabus Cloudera Administrator Certification Exam

    HDFS 38%
    • Describe the function of all Hadoop 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.
    MapReduce 10%
    • Understand how to deploy MapReduce MapReduce v1 (MRv1)
    • Understand how to deploy MapReduce v2 (MRv2 / YARN)
    • Understand basic design strategy for MapReduce v2 (MRv2)
    Hadoop Cluster Planning 12%
    • 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
    • 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 versus 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 17%
    • 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.
    • Identify the function and purpose of available tools for managing the Apache Hadoop file system.
    Resource Management 06%
    • 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.
    • Given a scenario, determine how the Capacity Scheduler allocates cluster resources
    Monitoring and Logging 12%
    • Understand the functions and features of Hadoop’s metric collection abilities
    • Analyze the NameNode and JobTracker Web UIs
    • Interpret a log4j configuration
    • Understand how to monitor the Hadoop 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
    The Hadoop Ecosystem 05%
    • Understand Ecosystem projects and what you need to do to deploy them on a cluster.

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Please write to us at info@cromacampus.com for the course price, schedule & location.

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Frequently Asked Questions:

All training courses offered by us are through IT Professional with 10+ years of experience. Freshers/College Students/Professionals(IT & Non-IT) can spot the quality of training by attending one lecture. Hence, we provide one free demo class to all our trainees so that they can judge on their own.

No, you don’t have to pay anything to attend the demo class. You are required to pay the training fee after free demo only if you are fully satisfied and want to continue the training.

To register for free demo, visit our campus or call our counsellors on the numbers given on contact us page.

Yes, all the trainees shall work on live projects provided by Croma Campus after completing their training part.

You will never lose any lecture. You can choose either of the two options:
View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

Please note, access to the course material will be available for lifetime once you have enrolled into the course.

Yes, Training certificate & Project completion will be issued by Croma Campus(ISO 9001-2000 Certified Training Center)

Yes, Croma Campus conduct special training programs on week end for college students throughout the year.

Croma Campus is the largest education company and lots of recruitment firms contacts us for our students profiles from time to time. Since there is a big demand for this skill, we help our certified students get connected to prospective employers. We also help our customers prepare their resumes, work on real life projects and provide assistance for interview preparation. Having said that, please understand that we don’t guarantee any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project.

Yes, Course Fee can be paid in two equal installments with prior Approval.

Yes, Croma Campus offer various group or special discounts.

No, Lab is open from 8 A.M. to 8 P.M. seven days a week. This time can be extended upto 11 PM if need arises.

Yes, students can take breaks during their exams and can resume it later without paying any fee. Apart from this, Students can attend batches for revision even after completion of their courses.

Batch strength differ from technology to technology. Minimum batch strength at Croma Campus is 10 and maximum batch strength is 30.

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Course Features

Get Practical and Well focused training from Top IT Industry experts.

Get Routine assignments based on learning from previous classes.

Live project, during or after the completion of the syllabus.

Lifetime access to the learning management system including Class recordings, presentations, sample code and projects

Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion

Get certification after the course completion.

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