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With 2.6 quintillion bytes of data being produced on a daily basis, there is a fast growing need of big data & Hadoop training to nurture professionals who can manage and analyse massive (tera/petabytes) data-sets to bring out business insights. To do this requires specialized knowledge on various tools like the Hadoop ecosystem.
Through this big data & Hadoop training course, the participants will gain all the skills requisite to be a Hadoop Developer. The participant will learn the installation of Hadoop cluster, understand the basic and advanced concepts of Map Reduce tools used by Big Data analysts like Pig, Hive, Flume, Sqoop and Oozie. The course will train you towards global certifications offered by Cloudera, Hortonworks etc. The course will be very useful for engineers and software professionals with a programming background.
HADOOP Online Training by Peopleclick with an excellent and real time faculty. Our Hadoop Big Data course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market, huge number of job openings are there in the IT world. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability. As all our faculty is real time professionals our trainer will cover all the real time scenarios. We have trained many students on Apache Hadoop Big Data, We provide Corporate Trainings and Online trainings throughout the world.
We will give you 100% satisfaction guarantee, After completion of Hadoop Training we provide 24/7 365 days technical support for required candidates. We will provide 100% certification support, resume preparation and Placements. HADOOP ONLINE TRAINING COURSE CONTENT:
We provide both Hadoop Development and Admin Training.
1. INTRODUCTION
What is Hadoop?
History of Hadoop
Building Blocks – Hadoop Eco-System
Who is behind Hadoop?
What Hadoop is good for and why it is Good
2. HDFS
Configuring HDFS
Interacting With HDFS
HDFS Permissions and Security
Additional HDFS Tasks
HDFS Overview and Architecture
HDFS Installation
Hadoop File System Shell
File System Java API
3. MAPREDUCE
Map/Reduce Overview and Architecture
Installation
Developing Map/Red Jobs
Input and Output Formats
Job Configuration
Job Submission
Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms )
4. Getting Started With Eclipse IDE
Configuring Hadoop API on Eclipse IDE
Connecting Eclipse IDE to HDFS
5. Hadoop Streaming
6. Advanced MapReduce Features
Custom Data Types
Input Formats
Output Formats
Partitioning Data
Reporting Custom Metrics
Distributing Auxiliary Job Data
7. Distributing Debug Scripts
8 .Using Yahoo Web Services
9. Pig
Pig Overview
Installation
Pig Latin
Pig with HDFS
10. Hive
Hive Overview
Installation
Hive QL
Hive Unstructured Data Analyzation
Hive Semistructured Data Analyzation
11.HBase
HBase Overview and Architecture
HBase Installation
HBase Shell
CRUD operations
Scanning and Batching
Filters
HBase Key Design
12.ZooKeeper
Zoo Keeper Overview
Installation
Server Mantainace
13.Sqoop
Sqoop Overview
Installation
Imports and Exports
14.CONFIGURATION
Basic Setup
Important Directories
Selecting Machines
Cluster Configurations
Small Clusters: 2-10 Nodes
Medium Clusters: 10-40 Nodes
Large Clusters: Multiple Racks
15.Integrations
16 .Putting it all together
Distributed installations
Best Practices
Benefits of taking the Hadoop & Big Data course
• Learn to store, manage, retrieve and analyze Big Data on clusters of servers in the cloud using the Hadoop eco-system
• Become one of the most in-demand IT professional in the world today
• Don't just learn Hadoop development but also learn how to analyze large amounts of data to bring out insights
• Relevant examples and cases make the learning more effective and easier
• Gain hands-on knowledge through the problem solving based approach of the course along with working on a project at the end of the course
Who should take this course?
This course is designed for anyone who:
• wants to architect a big data project using Hadoop and its Eco System components
• wants to develop Map Reduce programs to handle enormous amounts of data
• you have a programming background and want to take your career to another level
Pre-requisites
• The participants need basic knowledge of core Java for this course. (If you do not have Java knowledge, then do not worry. We provide you with our 'Java Primer for Hadoop' course complimentary with this course so that you can learn the requisite Java skills)
• Any experience of Linux environment will be helpful but is not necessary
For Further query call us @9164161200 or 9591232001
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