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Bigdata Administration Specialization Program

  • Overview
  • Course Highlights
  • Pre-requisites and Eligibility
  • Syllabus
  • Audience for this course
  • Batches
  • Mode of Training
  • Big Data Certification
  • Key Features

Overview

The Hadoop Administration course enables you to work with the frameworks of the Apache Hadoop ecosystem and its components. This Big Data administrator course covers Hadoop installation and configuration, computational frameworks for processing Big Data, Hadoop administrator activities, cluster management with Sqoop, Flume, Pig, Hive, HUE, Impala, Ambari and Cloudera Manager.
The Hadoop Administration is a highly valuable skill for anyone working at companies with Hadoop Clusters to store and process data. Almost every large company you might want to work at uses Hadoop in some way, including Google, Yahoo, Wal-Mart, Amazon, Ebay, LinkedIn, IBM , Facebook and Twitter. Even the New York Times uses Hadoop for processing images and Now you can understand in case companies are using Hadoop for storing, analyzing and processing data then there will be a requirement for Hadoop Administrator.
Our Hadoop Administration training provides that testifies the learning participant has acquired extensive knowledge to successfully work as a Hadoop Administrator and also provides expertise in all the steps necessary to manage a Hadoop cluster. This course on Hadoop Administration will make you an expert in working with Hadoop clusters management and deploy that knowledge on real-world projects.

Course Highlights

  • Introduction to Big Data & Hadoop Fundamentals
  • Understanding of Hadoop ecosystem architecture and components
  • Introduction to MapReduce, Hive, Pig , Hbase, Sqoop, Flume, Kafka, HUE, Ambari and Zookeeper Administration concepts.
  • How to Plan and Deploy a Hadoop Cluster
  • How to load Data and Run Applications
  • Configuration of a Hadoop Cluster
  • Performance Tuning of Hadoop Cluster
  • How to Manage Hadoop Cluster
  • Maintaining, monitoring and troubleshooting a Hadoop Cluster

Pre-requisites and Eligibility

There are no pre-requisites for Big Data Hadoop and spark course. However, a basic understanding of computer science technicalities and Basic knowledge of Linux commands and SQL will be helpful but is not mandatory. Don't worry, We will cover Linux commands/scripting and SQL in detail in our course.

Syllabus

  • Topic 1 : Introduction To Big Data Hadoop
    • Hadoop cluster architecture
    • Different types of Data
    • Data loading into HDFS
    • Roles and Responsibilities of a Hadoop Cluster Administrator
    • Opportunities and Challenges in Big Data
    • Big Data Applications in major Domains
  • Topic 2: Hadoop Installation and Cluster setup
    • Linux Ubuntu Installation
    • Rack awareness
    • Single Node Vs Multi-node
    • Single Node Cluster Setup
    • Multi-node cluster Setup
    • Different Hadoop flavors
    • Hadoop server roles and their usage
    • Replication Pipeline
    • Data Processing
    • Hadoop Installation and Initial Configuration
    • Deploying Hadoop in pseudo-distributed mode
    • Deploying a multi-node Hadoop cluster
    • Installing Hadoop Clients
  • Topic 3: Hadoop Cluster
    • Planning a Hadoop Cluster
    • Selecting the appropriate hardware
    • Designing a scalable cluster
    • Hadoop Cluster Architecture

    Building the Hadoop cluster

    • Installing the Hadoop daemons
    • Optimizing the network architecture
    • The workflow of Hadoop Cluster
    • Configuring Name Node, Master, and Slave
    • Types of schedulers in Hadoop
    • Managing and scheduling jobs
    • Cluster Management Commands
    • Cluster monitoring and troubleshooting
  • Topic 4: HDFS Admin Operations
    • HDFS Architecture
    • NameNode, Secondary NameNode, HA Standby NameNode, DataNode
    • Horizontal scaling, replication, data locality, and rack awareness in HDFS
    • Storage – Adding storage and replacing defective drives
    • Read & Writes
    • User and Admin Commands
    • Isolating single points of failure
    • Maintaining High Availability
    • Triggering manual failover
    • Automating failover with Zookeeper
    • Extending HDFS resources
    • Managing the namespace volumes
  • Topic 5: MapReduce Admin Operations
    • MapReduce Framework
    • Mapper and Reducer
    • Failure and Recovery in MapReduce
    • Map reduce Job configuration & schedulers
    • Optimizing MapReduce
    • MapReduce cluster loads
    • Adding and removing data nodes
    • Managing MapReduce jobs
    • Tracking progress with monitoring tools
    • Commissioning and decommissioning compute nodes
    • YARN & YARN Architecture
    • YARN Daemons
    • YARN Installation & Configuration
  • Topic 6: Hive And Impala
    • Apache Hive Architecture
    • Apache Hive Installation & Configuration
    • Hcatalog/Hive Administration
    • Log files in Hive
    • Hive Configuration Variables
    • Impala Installation & Configuration
  • Topic 7: Apache Sqoop
    • Sqoop Installation
    • Configuring Sqoop
    • Importing Data from Database
    • Sqoop Commands
  • Topic 8: Oozie and HBase Administration
    • Oozie architecture and installation
    • HBase Architecture and installation
    • HBase setup
    • HBase and Hive Integration
    • HBase performance optimization
    • Assessment
  • Topic 9: Backup, recovery and security
    • How to manage hardware failures
    • Securing Hadoop clusters
    • Configuring Hadoop backup
    • Cluster replication concepts and maintenance
    • Configuring HDFS Federation
    • Hadoop Platform Security and Securing the Platform
    • Configuring Kerberos
  • Topic 10: Advanced Administration Activities
    • Hardware monitoring and Hadoop cluster monitoring
    • Adding and removing nodes in the cluster
    • Cluster configuration tweaks
    • Upgrading Hadoop cluster

Audience for this course:

The course is ideal for Software engineers and programmers ,systems administrators, Hadoop Developers and Java Developers , Linux / Unix Administrator, Data analysts and database administrators , System architects , IT managers, IT administrators and operators, IT systems engineers, data engineers and database administrators, data analytics administrators, cloud systems administrators, web engineers and graduate individuals who intend to design, deploy and maintain Hadoop clusters.

Mode of Training

  • Classroom Training
  • Online Instructor-Led Online Training
  • online vedio Recorded Training sessions

Week days batch

  • Class Room Training @ Anna nagar & OMR
  • Online Instructor LED Training for Other Locations
  • Online Vedio Recorderd Training sessions for Other Locations

Week end batch

  • Class Room Training @ Anna nagar & OMR
  • Online Instructor LED Training for Other Locations
  • Online Vedio Recorderd Training sessionsOther Locations

Fast track Batch

  • Class Room Training @ Anna nagar & OMR
  • Online Instructor LED Training for Other Locations
  • Online Vedio Recorderd Training sessions

Big Data Certification

Hiring companies are looking for certified Big Data Hadoop professionals. Our BigData Hadoop Certification-oriented Training helps you to grab this opportunity and accelerate your career. we offer Hadoop online professional certification Guidance.
Get Certified By Cloudera CCA ADMINISTRATOR (CCA 131)

Key features

  • 100% Placement guarantee
  • Real-Time Projects on Bigdata
  • 200+ Hours Course Duration
  • Job Oriented Training
  • Fast track placement mode
  • Managed and mastered by highly skilled Industry Experts
  • Both Classroom Training and Online Training
  • Online Professional Certification Guidance
  • Complete Career Guidance
  • Hands-on with 10+ Live Projects
  • Placement in Top MNC Companies
  • Certification: Cloudera / Hortonworks / Databricks
  • Support 24/7 * 365 days
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