BECOME A BIG DATA & HADOOP ADMINISTRATOR IN
12 WEEKS

$100K

Avg salary of Big Data Developer is $82-100K

10%

Big Data industry is growing at almost 10% every year

1.5 Million

Big Data needs 1.5 mn managers by 2018

97+ REVIEWS

8989+ LEARNERS

"Once a new technology rolls over you, if you`re not part of the steamroller, you`re part of the road." - Stewart Brand

17,999

OUR MENTOR-DRIVEN PROGRAM

Learn the fundamentals

Learn intermediate concepts

Learn advanced concepts

Getting Started

Know history and mission of BGAcademy.
Get a walkthrough on the Course plan.
Set up Eclipse and get familiar with it.
Install and get familiar with common Git commands

Start with Basics

Understand the architecture of android applications, life Cycle of various components, manifest, Intents and the use of external resources for Android development.
Familiarize with history of BigData.
Define and describe Big Data with examples.
Get introduced to Hadoop along with a walkthrough of Hadoop architecture
Get an overview of Linux and basic commands for Big Data development.

COURSE SYLLABUS

Course Introduction,Inrtoduction to Big Data

Introduction to Big Data
Big Data problem
Unstructured data
Big Data processing issues
Job trends in Big Data

Hadoop

Hadoop the problem and solution
Advantages of Hadoop
Hadoop components
HDFS
MapReduce
File write and read in HDFS

Single Node Cluster

Hadoop 1.0 summary
How job tracker works?
Hadoop installation local mode
Pseudo distributed mode
Hadoop configuration files
Accessing the web UI

Hands-On

Apache Hadoop installation and cluster setup on AWS EC2 (Ubuntu)
How to launch an Amazon AWS EC2 instance

Setting up Hadoop Client

Planning considerations
Hardware planning
Why not RAID?
Real world use cases

Software and Job Schedulers

Planning for Hadoop cluster software
Different Hadoop distributions
Cloud based distributions
Jobs and schedulers
The fair scheduler

Backup and Recovery

Backing up the cluster data
Distcp
Quota management and trash server
More about secondary namenode
Safemode in Hadoop

Upgrade and Maintenance

User quota management
Decommissioning a node
Commissioning a node
The upgrade process
Hadoop security

Hadoop 2.0 core concepts

Revisiting Hadoop 1
Drawbacks of Hadoop 1
Features of Hadoop 2
YARN
Process flow

Hadoop 2 Cluster

Hadoop 1 configuration files
Hadoop 2 configuration files
Deprecated properties
Core configuration files
Individual files

High Availability with Quorum Journal Manager

Secondary NameNode
HA options
Quorum journal manager
HA with shared NFS

HDFS Federation

Current HDFS set up and drawbacks
Federation and concepts
Key benefits
Demonstration

Project I

Mentee can select project from predefined set of BGAcademy projects or they can come up with their own ideas for their projects

Project I cont...

Mentee can select project from predefined set of BGAcademy projects or they can come up with their own ideas for their projects

Sqoop and Flume

Data loading techniques
What is SQOOP
SQOOP configuration
What is FLUME
FLUME components

Hbase Set Up and Architecture

Introduction to NoSQL
HBase features
HBase VS RDBMS
HBase architecture
Use case

Pig and Hive

Pig:Need for PIG
PIG concepts
Installation and configuration;Hive:Hive Architecture
Hive as a data warehousing tool

Apache & Oozie

Need for Oozie
Oozie workflow
Oozie cordinator

MapR Fundamentals

Limitations of HDFS
Compare MapR FS with HDFS
Comparing storage
Containers and volumes
Replication and snapshots

Working with Cloudera Manager

Cloudera Hadoop
The importance of cloudera manager
Installation
Features
Advantages

Project II

Mentee can select project from predefined set of BGAcademy projects or they can come up with their own ideas for their projects

Project II cont...

Mentee can select project from predefined set of BGAcademy projects or they can come up with their own ideas for their projects

Project II cont...

Mentee can select project from predefined set of BGAcademy projects or they can come up with their own ideas for their projects

Project II cont...

Mentee can select project from predefined set of BGAcademy projects or they can come up with their own ideas for their projects

INTERESTED IN CORPORATE TRAINING?

12
WEEKS
COURSE DURATION

2
SESSIONS
EVERY WEEK

1.5
HOURS
EACH SESSION

200
HOURS
PROJECTS & ASSIGNMENTS

GREAT

CAREER

COURSE EXTRACT

Level	Intermediate
Pre-Requisites	Linux Operating System
Technologies/Tools	Linux (centos), Apache Hadoop, Cloudera Manager, Apache Hbase, Apache Pig, Apache Hive
Projects	2 (Fully Functional)
Batch Size	8 - 10 Students
Job Preparation	Yes
Certification	Yes
*247 support**	Yes

WE HELP YOU GET A GREAT JOB

ADDITIONAL BONUS WEEK

On course completion, you are ready to enter the exciting world of corporates . We show you how to make the right impression at job interviews.

INTENSIVE JOB INTERVIEW PRACTICE

Congratulations, you're now a programmer with awesome skills. In this bonus week, we'll help you prepare for your job interviews so that you can make a great first impression. This includes:

2 in-depth mock technical interviews

Guidance on how to answer real interview questions from top employers

Assistance with creating a resume that stands out

BUILDING AN ONLINE REPUTATION

We can help you build that online presence on sites such as Git, StackOverflow, Quora, and LinkedIn.

PROJECTS WHICH STUDENTS WILL DEVELOP

Creating a 6 Node Hadoop Cluster

Create a 6 Node Hadoop cluster with one separate machine for NameNode, Job Tracker and Secondary NameNode with 3 machines running as slave nodes and configure the default Secondary NameNode snapshot interval as 3 hours.

Create Multi-node HBase Cluster.

Create a 4 node Hadoop cluster with built-in Zookeeper with HBase. The cluster should have one Namenode, one Resource Manager and two Datanodes. Datanode 1 and 2 will be region servers.

Create High Availability Hadoop Cluster

Create a 4 node Hadoop cluster with Hadoop 2.6.0 installed with high availability enabled on the cluster using Quorum Journal Manager and check the health of Zookeeper and high availability functionality.

Create Hadoop Cluster With All Its Ecosystems (Pig, Hive, Oozie)

Create a 5 node Hadoop cluster with Hadoop 2.6.0 installed. The block size needs to be 128 MB. The Resource Manager should run in port 60300. Configure 3 data nodes. Create a client machine. Install Pig and Hive in client machine and Install and setup Oozie. Test the cluster by launching sample Hive and Pig jobs.

Create Hadoop Federation

Create a 4 node Hadoop cluster with Sqoop, MySQL installed in it and implement the federation feature in the cluster and check the federation feature by letting NameNode down.

CUSTOMER FEEDBACK

PRICING

17,999

MONEY BACK GUARANTEE

If you are unhappy with the course and opt out in the first week, you get a complete refund.

SCHOLARSHIPS

We subsidize our fees by 10% for military personnel, and college students with exceptional records. To apply for a scholarship, email enquiry@acadgild.com.

GROUP DISCOUNT

More than 3 people in a group or from the same Company can avail special discount. For more information contact us at enquiry@acadgild.com

FAQ'S

What is Big Data and Hadoop Administration course?: The Big Data and Hadoop Administration course is designed to provide knowledge and skills to become a successful Hadoop Administrator. It starts with the fundamental concepts of Apache Hadoop and Hadoop Cluster and covers topics to create, configure, manage, monitor and secure a Hadoop Cluster. The course will also cover HBase Administration so after completion of Hadoop Administration course one will be prepared to understand and solve problems that you may come across while working on Hadoop Cluster.
Who should do this course?: This course is suitable for Systems Administrators, Windows Administrators, Linux Administrators, Infrastructure Engineers, DB Administrators, Big Data Architects, Mainframe Professionals and IT managers who are interested in learning Hadoop Administration.
How is this training going to help me get a job in this domain? OR How is this training going to enhance my career?: This course will help you in starting your career in Hadoop Administration as well as sharpen your Linux and Administration skills to build and maintain the Hadoop cluster for existing Big Data projects.
Can only Java developers do Big Data training or developers from other platforms as well as from other domains like testing/mainframe/business analytics/database/freshers also benefit from this course? OR Is Java a pre-requisite to Learn Big Data and Hadoop?: No prior Java knowledge is required to learn Big Data Hadoop Administration. This course is suitable for Linux Administrators, Database Administrators and Networking professionals.
How is Data Scientist different from Big Data Developer/Administrator?: A Data Scientist takes the business need and as per the need prepares the plan to implement the analytics project. Data scientist possesses both the skills of a software engineer and an applied scientist. On the other hand Big Data System Administrator or Big Data Administrator’s role is to construct, install, and maintain the cluster as well as add new components in existing Big Data cluster.
What are the pre-requisites for this course?: Basic understanding of Linux operating systems is necessary. In case any candidate does not have the necessary knowledge then we do provide Linux Primer course which covers essentials required to learn Hadoop Administration for free.
Technologies that will be used for this course.: Linux (centos), Apache Hadoop, Cloudera Manager, Apache Hbase, Apache Pig, Apache Hive

BECOME A BIG DATA & HADOOP ADMINISTRATOR IN
12 WEEKS

INTENSIVE JOB INTERVIEW PRACTICE

BUILDING AN ONLINE REPUTATION

COMPANY

SUPPORT

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FOLLOW US ON

BECOME A BIG DATA & HADOOP ADMINISTRATOR IN 12 WEEKS

INTENSIVE JOB INTERVIEW PRACTICE

BUILDING AN ONLINE REPUTATION

COMPANY

SUPPORT

ABOUT

FOLLOW US ON

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BECOME A BIG DATA & HADOOP ADMINISTRATOR IN
12 WEEKS