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Hadoop Deployment & Administration

About the Hadoop Administration & Deployment Course!

Offering 8 Weeks course getting intellectuals ready to become Big Data System Engineer. During the eight (8) weeks of the course, you will learn about deployment of the different ingredients of Big Data such as Hadoop, Pig, Hive, Sqoop using Ambari on Linux environment.

In subsequent weekly distribution of the course, participants will have hands on experience on deployment of different pillars of Big Data starting from Hadoop, Hive, Pig, Sqoop using Ambari.

At the end of the course candidates will have in depth understanding & hands on related to the deployment and administration of Big Data solutions like Cloudera & Hortonworks

In addition to this, we will also ensure hands on advanced Linux, networking concepts and analytics in Linux.

View Course Outline Reserve Your Seat

Schedule

Starting

To be announced soon!

Duration

8 Weeks (Saturdays)

Timings

10:00AM to 06:00PM

Remaining

.

Meet the Instructors

Meet the trainers of this course who are Big Data experts & are highly experienced!

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Mr. Asim Rashid

Big Data, Hadoop Administrator, System Administration Consultant & Trainer

Asim Rashid has 13+ years of Technical experience in ICT industry. He is certified Oracle and Huawei Trainer. His core expertise include Automated Backup & Recovery Solutions, Virtualization and Consolidation, Engineers Systems (Oracle Big Data Appliance, Exadata, Exalogic) Huawei Big Data, Big Data Deployment and Implementation (Hortonworks stack).

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Mr. Nauman Akram

Systems Administrator, Systems Integrator

Mr. Nauman Akram has 8+ years of experience in all top telecom companies of Pakistan. His key expertise is in domain of Systems Administration. His key expertise include Project Design, Deployment, Implementation and Execution from End-to-End, Integration of Nodes within Network.

Course Outline

Week 1: Big Data using Linux

  • Big Data Concepts and Components
  • Overview to Ambari, Hive, Pig, Sqoop
  • Hands-on in Linux OS for big data deployment
  • Analytics in Linux and Network concepts

Week 2: HDP Cluster installation Using Ambari

HDP Cluster Installation Pre-requisites

  • Determine Stack Compatibility
  • Meet Minimum System Requirements
  • Operating Systems Requirements
  • Browser Requirements
  • Software Requirements
  • JDK Requirements
  • Database Requirements
  • Memory Requirements
  • Package Size and Inode Count Requirements
  • Prepare the Environment
  • Set Up Password-less SSH
  • Set Up Service User Accounts
  • Enable NTP on the Cluster and on the Browser Host
  • Check DNS and NSCD
  • Configuring iptables
  • Disable SELinux and Package Kit and check the umask Value
  • Using a Local Repository
  • Obtaining the Repositories
  • Setting Up a Local Repository
  • Getting Started Setting up a Local Repository
  • Preparing the Ambari Repository Configuration File

Containers Concept in Hadoop

Week 3: Ambari

Installing Ambari

  • Download the Ambari Repository
  • RHEL/CentOS
  • RHEL/CentOS
  • SLES 11
  • Set Up the Ambari Server
  • Setup Options
  • Start the Ambari Server

Ambari

Week 4: Installing, Configuring, and Deploying a HDP Cluster

Installing, Configuring, and Deploying a HDP Cluster

  • Log In to Apache Ambari
  • Launching the Ambari Install Wizard
  • Name Your Cluster
  • Select Stack
  • Install Options
  • Confirm Hosts
  • Choose Services
  • Assign Masters
  • Assign Slaves and Clients
  • Customize Services
  • Review
  • Install, Start and Test

Week 5: Big Data Stack

HDFS – Hands on

  • HDFS Working
  • HDFS Block Size
  • HDFS Replication Factor
  • HDFS Read
  • HDFS Write
  • HDFS Pipeline Writing

Hive – Hands on

  • Hive Alignment with SQL
  • Hive Query Process
  • Hive Data Loading
  • Hive Managed Tables
    Hive External Tables
  • Hive Table Location
  • Hive Bucketing & Partitioning

PIG – Hands on

  • PIG VS Hive
  • PIG Architecture
  • PIG-Latin
  • Grunt Shell & PIG Scripting
    PIG Commands

Week 6: Ambari Administration

Ambari Administration:

 

Administering Ambari: Overview

  • Terminology
  • Logging in to Ambari
  • About the Ambari Administration Interface
  • Changing the Default Admin Password

 

Create and Manage a Cluster and Cluster Roles

  • Creating a Cluster
  • Managing Cluster Roles
  • Cluster Roles
  • Role Comparison Chart
  • Modifying User and Group Cluster Roles
  • Launching the Cluster Dashboard
  • Renaming a Cluster
  • Managing Versions

Registering Remote Clusters

Week 7: Managing Users, Groups and Views

Managing Users, Groups and Views

 

  • Users and Groups Overview
  • Local and LDAP User and Group Types
  • Ambari Admin Privileges
  • Creating a Local User
  • Setting User Status
  • Setting the Ambari Admin Flag
  • Changing the Password for a Local User
  • Deleting a Local User
  • Creating a Local Group
  • Managing Group Membership
  • Adding a User to a Group
  • Modifying Group Membership
  • Deleting a Local Group

Week 8: Projects

  • Project and Presentation
  • Career Path Guidance

Tools

Pricing

Following is price for this extensive training on Big Data

Individual
Price for an Individual Member
Rs 30,000 per person
Group of Two
7% Discount for a group of two people
Rs 27,900 per person
Group of Three
10% Discount for a group of Three people
Rs 27,000 per person
Group of Four
15% Discount for a group of Four people
Rs 25,500 per person

 

Frequently Asked Questions

Who should attend the course?

Recent graduates, third year and final year students from the computer science disciplines.

Professionals from the computer science domain who want to shift the profession to Big Data Analytics.

Executives who want to build the initial knowledge about the impact of the Big Data ecosystem on organization growth.

Who are the Instructors?

What is the timing of the course?

Duration: 8 weeks

Class Day: Saturdays

Timings: 10:00 AM to 06:00 PM

Can I get a job after this course?

Since our instructors are industry experts so they do train the students about practical world and also recommend the shinning students in industry for relevant positions.

How much hands-on will be performed in this course?

Since our courses are led by Industry Experts so it is made sure that content covered in course is designed with hand on knowledge of more than 70-75 % along with supporting theory.

What are the PC requirements?

For Big Data Professional course, you need to have Minimum Core i3 PC, 4th Generation with 12GB RAM and ideally Core i7, 5th Generation with 16GB RAM.

Will I get a certificate after this course?

Yes, you will be awarded with a course completion certificate by Dice Analytics. We also keenly conduct an annual convocation for the appreciation and recognition of our students.

Reserve your Seat

You can reserve your seat  by filling the form below!

 

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