Title: Hadoop training and placement
1BUILD YOU FUTURE
Training And Placement Program
2AUDIENCE
- INTERNATIONAL STUDENTS IN USA
3What is Hadoop?
- Hadoop is an open source, Java-based programming
framework that supports the processing and
storage of extremely large data sets in a
distributed computing environment. It is part of
the Apache project sponsored by the Apache
Software Foundation.
4Why Hadoop Training?
- We live today in a world of DATA. What-so-ever
you do in the Internet, it becomes a source of
business information. Therefore, industries are
looking for ways to handle data and get business.
Here is Hadoop jail-break for the IT firms
in order to store and retrieve large amount of
data. Here are some reasons to chooseHadoop.
- A combination of online running applications on a
huge-scale built of commodity hardware. - Big companies are seeking for Hadoop
professionals capable of handling data. - Stores and processes large data-sets in a
cost-effective manner.
5Hadoop Modules And Projects
- As a software framework, Hadoop is composed of
numerous functional modules. At a minimum, Hadoop
uses Hadoop Common as a - Kernel to provide the framework's essential
libraries. - Hadoop Distributed File System (HDFS) which is
capable of storing data across thousands of
commodity servers to achieve high bandwidth
between nodes - Hadoop Yet Another Resource Negotiator (YARN)
which provides resource management and scheduling
for user applications - Hadoop MapReduce which provides the programming
model used to tackle large distributed data
processing -- mapping data and reducing it to a
result.
6Hadoop Training Topics Covered
Module 1 Course Introduction Module 14 Hive
Module 2 Introduction to Big Data Module 15 Flume
Module 3 Hadoop Architecture Module 16 Sqoop
Module 4 Hadoop Configuration Module 17 Hue
Module 5 Hadoop Cluster Configuration Module 18 Oozie
Module 6 Hadoop Deployment Module 19 ZooKeeper
Module 7 Introduction to MapReduce Module 20 Impala
Module 8 Deep dive in MapReduce Yarn Module 21 Ecosystem
Module 9 Advanced HDFS and MapReduce Module 22 Commercial Distribution
Module 10 MapReduce Framework Module 23 Hadoop Monitoring
Module 11 Hadoop Administration Module 24 Java Essentials
Module 12 Pig
Module 13 Hbase
7Who should do this course?
- Hadoop has become a cornerstone of every IT
sector today. It has now become a must-know
technology for the following professionals. - All IT professionals looking forward to become
Data scientist in future - Project managers looking to learning new
techniques of managing and maintaining large data - Fresher, graduates, or working professionals
- Hadoop developers looking for learning new
verticals like Hadoop Analytics, Hadoop
Administration, and Hadoop Testing - Mainframe professionals
- Software developers and architects
- BI/DW/ETL professionals
- Anyone with interest in Big Data analytics.
8Prerequisites
- Hadoop has become a cornerstone of every IT
sector today. It has now become a must-know
technology for the following professionals. - No Apache Hadoop knowledge is required
- Fresher from non-IT background can also excel
- Prior experience on any programming language
might help - Basic knowledge of Core Java, UNIX, and SQL
- Java essentials for Hadoop course for brushing up
ones skills - Good analytical skills to grasp and apply the
Hadoop concepts
9 Is Java Necessary Prerequisite to undertake Java
Course ?
You can master in Hadoop, even if you are not
from IT background. But any programming language,
such as Java, C, PHP, Python, C, C, .NET,
PERL, etc., if you know could be a great help.
Even if you have no knowledge regarding Java, do
not worry, because we have Java Essentials for
Hadoop course to brush up your skills and that
too absolutely free.
10Why Enroll For Hadoop Training And Placement ?
- One-on-one and weekend classes
- Live faculty-led training
- Live webinars
- 24/7 support from our experts
- Experience certificate in Hadoop
- Money back guarantee
- High-quality e-learning
11Top Companies Hiring Hadoop Big Data Developers
Emailinfo_at_optnation.com Call 7037455380