Big data Essentials

What is Big Data?
Big Data is a term used to define data sets that have the potential to rapidly grow so large that they become unmanageable. The Big Data movement includes new tools and ways of storing information that allow efficient processing and analysis for informed business decision-making.

What is MapReduce?
MapReduce is a parallel programming model that allows distributed processing on large data sets on a cluster of computers. MapReduce was originally implemented by Google as part of their searching and indexing of the Internet. It has since grown in popularity and is quickly being adopted by most industries.

What is Hadoop?
Hadoop is an open source implementation of MapReduce by the Apache group. It is a high performance distributed storage and processing system. Hadoop fills the gap in the market by effectively storing and providing computational capabilities for substantial amounts of data. There is commercial support from multiple vendors and prepackaged cloud solutions.

What you will learn:

• Introduce Big Data 
• Illustrate practical and potential Big Data use cases
• Explore potential Big Data solutions that work for your organization
• Highlight considerations in Big Data project 
• Introduce Hadoop ecosystem 
• Discuss how to apply Hadoop with scale to solve common data-driven problems
• Discuss how to integrate Hadoop with other infrastructure components
• Discuss operations regarding Hadoop cluster .
  

Why Big Data training from Mapple Edusoft :

• Structured Big Data & Hadoop Training in Jaipur.
  
• Highly Qualified Industry Experts as Trainer.
• Course Completion Certificate From Mapple Edusoft.
  
• Discount Vouchers for International Exams.
• 10 Full-length Online Mock Tests (Real-life Oracle® Exam) per Module.
  

Prerequisites :

• Java programming
  
• Basic knowledge in analyzing Big Data.

We recommend attendees to have basic information technology knowledge before attending this course.

Course Topics :

Big Data Overview

• What is Big Data
  
• Driving forces for Big Data
  
• Emergence of Big Data technologies
  
• Problems resolved by Big Data technologies
  
• Technology trends
  

Big Data Solutions

• Key players who integrate Big Data technologies
  
• Hadoop as the core platform
  
• Commercializing Hadoop
  

Big Data Use Cases

• Verticals / horizontals using Big Data
  
• Total cost of ownership deploying Big Data
  
• Business justifications deploying Big Data
  

Considerations in Big Data Project

• Solution design, implementation, administration and maintenance
  
• Project team structure, roles and expertise
  
• The need of data analyst / data scientist
  
• Practical considerations in data security and management
  

The Motivation for Hadoop

• Limitations of traditional large-scale systems
  
• Requirements for a new approach
  
• Hadoop!
  

Hadoop: Basic Concepts

• What is Hadoop?
  
• The Hadoop Distributed File System (HDFS)
  
• How MapReduce works
  
• Anatomy of a Hadoop cluster
  

Hadoop Solutions

• Eight common Hadoop-able problems
  

The Hadoop Ecosystem

• Hive and Pig
  
• Hbase
  
• Flume
  
• Other ecosystem components
  

Hadoop in Data Center

• How does Hadoop integrate with other infrastructure components
  
• What physical resources are needed
  
• Managing a Hadoop cluster
  
• Cloudera Manager
  

Hadoop operations in a nutshell

• Accessing HDFS
  
• Running Map Reduce programs
  
• Monitoring cluster
  

Certificate From Mapple Edusoft :

Big Data & Hadoop Training in Jaipur @ Mapple Edusoft