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Hadoop Admin Training Course in Columbus, OH, United States

Learners : 542

ARLearners offers best Hadoop Admin Training with most experienced professionals. Our Instructors are working in Hadoop Admin and related technologies for more years in MNC's. We aware of industry needs and we are offering Hadoop Admin Training in more practical way. Our team of Hadoop Admin trainers offers Hadoop Admin in Classroom training, Hadoop Admin Online Training and Hadoop Admin Corporate Training services. We framed our syllabus to match with the real world requirements for both beginner level to advanced level. Our training will be handled in either weekday or weekends programmer depends on participants requirement.

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Our Promise Of Big Data Hadoop Admin Certification Training course

  • 36 hours of instructor-led training
  • 20 hours of self-paced video
  • Includes 4 real industry-based projects
  • Includes 3 simulation exams design to test Hadoop Admin skills
  • Money Back Guarantee
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BIG DATA HADOOP ADMIN TRAINING COURSE DESCRIPTION IN COLUMBUS, OH

The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data and analytics might just be the type of role that you have been trying to find to meet your career expectations.
Professionals who are working in this field can expect an impressive salary, with the median salary for data scientists being $116,000. Even those who are at the entry level will find high salaries, with average earnings of $92,000.

BIG DATA HADOOP ADMIN TRAINING COURSE AGENDA IN COLUMBUS, OH

AR Learners Hadoop Administration Certification Training will guide you to gain expertise in maintaining complex Hadoop Clusters. You will learn exclusive Hadoop Admin activities like Planning of the Cluster, Installation, Cluster Configuration, Cluster Monitoring and Tuning. Furthermore, you will get to know about Cloudera Hadoop 2.0, and you will be mastering the security implementation and Hadoop v2 through industry-level cases studies.

BIG DATA HADOOP ADMIN TRAINING COURSE PREREQUISITES IN COLUMBUS, OH

Prior knowledge of Hadoop is not necessary. Little knowledge on Java, as Hadoop is Java based. Good knowledge of Linux, as Hadoop runs on Linux.

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BIG DATA HADOOP ADMIN TRAINING COURSE WHO SHOULD ATTEND IN COLUMBUS, OH

This course is apt for:

  • Systems administrators and IT managers
  • IT administrators and operators
  • IT Systems Engineers
  • Data Engineers and database administrators
  • Data Analytics Administrators
  • Cloud Systems Administrators
  • Web Engineers
  • Individuals who intend to design, deploy and maintain Hadoop clusters

BIG DATA HADOOP ADMIN TRAINING COURSE CURRICULUM IN COLUMBUS, OH

Understanding Big Data and Hadoop

  • Introduction to big data
  • Common big data domain scenarios
  • Limitations of traditional solutions
  • What is Hadoop?
  • Hadoop 1.0 ecosystem and its Core Components
  • Hadoop 2.x ecosystem and its Core Components
  • Application submission in YARN

Hadoop Cluster and its Architecture

  • Distributed File System
  • Hadoop Cluster Architecture
  • Replication rules
  • Hadoop Cluster Modes
  • Rack awareness theory
  • Hadoop cluster administrator responsibilities
  • Understand working of HDFS
  • NTP server
  • Initial configuration required before installing Hadoop
  • Deploying Hadoop in a pseudo-distributed mode

Hadoop Cluster Setup and Working

  • OS Tuning for Hadoop Performance
  • Pre-requisite for installing Hadoop
  • Hadoop Configuration Files
  • Stale Configuration
  • RPC and HTTP Server Properties
  • Properties of Namenode, Datanode and Secondary Namenode
  • Log Files in Hadoop
  • Deploying a multi-node Hadoop cluster

Hadoop Cluster Administration and Maintenance

  • Commisioning and Decommissioning of Node
  • HDFS Balancer
  • Namenode Federation in Hadoop
  • High Availabilty in Hadoop
  • Trash Functionality
  • Checkpointing in Hadoop
  • Distcp
  • Disk balancer

Computational Frameworks, Managing Resources and Scheduling

  • Different Processing Frameworks
  • Different phases in Mapreduce
  • Spark and its Features
  • Application Workflow in YARN
  • YARN Metrics
  • YARN Capacity Scheduler and Fair Scheduler
  • Service Level Authorization (SLA)

Hadoop 2.x Cluster: Planning and Management

  • Planning a Hadoop 2.x cluster
  • Cluster sizing
  • Hardware, Network and Software considerations
  • Popular Hadoop distributions
  • Workload and usage patterns
  • Industry recommendations

Hadoop Security and Cluster Monitoring

  • Monitoring Hadoop Clusters
  • Hadoop Security System Concepts
  • Securing a Hadoop Cluster With Kerberos
  • Common Misconfigurations
  • Overview on Kerberos
  • Checking log files to understand Hadoop clusters for troubleshooting

Cloudera Hadoop 2.x and its Features

  • Visualize Cloudera Manager
  • Features of Cloudera Manager
  • Build Cloudera Hadoop cluster using CDH
  • Installation choices in Cloudera
  • Cloudera Manager Vocabulary
  • Cloudera terminologies
  • Different tabs in Cloudera Manager
  • What is HUE?
  • Hue Architecture
  • Hue Interface
  • Hue Features

Pig, Hive Installation and Working (Self-paced)

  • Explain Hive
  • Hive Setup
  • Hive Configuration
  • Working with Hive
  • Setting Hive in local and remote metastore mode
  • Pig setup
  • Working with Pig

HBase, Zookeeper Installation and Working (Self-paced)

  • What is NoSQL Database
  • HBase data model
  • HBase Architecture
  • MemStore, WAL, BlockCache
  • HBase Hfile
  • Compactions
  • HBase Read and Write
  • HBase balancer and hbck
  • HBase setup
  • Working with HBase
  • Installing Zookeeper

Understanding Oozie (Self-paced)

  • Oozie overview
  • Oozie Features
  • Oozie workflow, coordinator and bundle
  • Start, End and Error Node
  • Action Node
  • Join and Fork
  • Decision Node
  • Oozie CLI
  • Install Oozie

Data Ingestion using Sqoop and Flume (Self-paced)

  • Types of Data Ingestion
  • HDFS data loading commands
  • Purpose and features of Sqoop
  • Perform operations like, Sqoop Import, Export and Hive Import
  • Sqoop 2
  • Install Sqoop
  • Import data from RDBMS into HDFS
  • Flume features and architecture
  • Types of flow
  • Install Flume
  • Ingest Data From External Sources With Flume
  • Best Practices for Importing Data

BIG DATA HADOOP ADMIN CERTIFICATION TRAINING FAQS IN COLUMBUS, OH

On successful completion of the course, you will receive a Course Completion Certificate from AR Learners.

Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

There are 3 modes of learning, namely Classroom which will be a face-to-face instructor led sessions, Live Virtual Instructor-led Training for those with a disadvantage to travel, and finally the self-paced e-Learning which you can take up anywhere, anytime.

You can enroll for the training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.

  • Visa debit/credit card
  • Master Card, or
  • Through PayPal
  • Please contact our Help and Support portal to have your issue resolved.
  • We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. Whats more, you will have lifetime access to the community forum, even after completion of your course with us.
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