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Big Data Analytics on Hadoop

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HSR Layout, Bangalore

Course ID: 21514

HSR Layout, Bangalore

Students Interested 1 (Seats Left 0)

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Date and Time

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TBA

B.Tech, M.Tech

About TBA

The trainer is an expert and has 12+ years of exhaustive experience in the IT industry with vast exposure to designing and developing applications. He is able to create rich, interactive and lively learning experience. His ability to powerfully communicate complex
technology concepts to audiences of various levels is highly appreciated by his trainees and training managers. Global giants, such as Nokia, IBM, Sun, Capgemini, GE, Sap Labs, Accenture, HP, NSN, Honeywell etc have benefited from his training deliveries, and keep coming back for repeated deliveries.
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About the Course

This course is recommended as an advancement to Processing BigData on Hadoop. While Processing BigData was geared more towards devlopers who wanted to understand how to use Hadoop to handle and arrange BigData, this course will go on to teach how to perform analytical operations to gain insights from data processed through Hadoop. BigData Analytics on Hadoop will teach you all you need to learn about BigData Analytics on Hadoop. Big Data is a popular term used to describe the exponential growth, availability and use of information, both structured and unstructured. It is imperative that organizations and IT leaders focus on the ever-increasing volume, variety and velocity of information that forms BigData. Hadoop is the core platform for structuring BigData, and solves the problem of making it useful for Analytics.

Topics Covered

Day 1
*What is Big Data? What is Hadoop?
*Anatomy of HDFS; blocks of data ;
*How to extract data from Hadoop- basic understanding of how to write code
*Map reduce – a programmer’s tool – brief introduction
*Pig Latin – Reading data – data retrieval ; saving datasets
*Data Preparation and Management
*Types of variables
*Identifying the business Y
*Basic Statistics
*Merging and Appending data – Primary key concept
*Missing values
*Outliers

Day 2
*Data visualisation-Graphs , Charts – the basics
*Normal Distribution
*Correlation , Covariance
*Sampling
*Hypothesis Testing
*T Test
*Annova
*Deductive Vs Inductive reasoning
*Process of Analysis

Who should attend

*Data analysts / Data scientists who want to know how to use their expertise on Big Data
*Database Managers with a knowledge of Hadoop / Java who want to know what to do next in their career and how to manage and draw insights from their data
*Consultants who want to know what Big Data analytics is

Pre-requisites

Must Have

*A thorough understanding about Big Data and Hadoop

What you need to bring

Laptop

Key Takeaways

At the end of Big Data Analytics on Hadoop training course, the participants will learn:

*The basics of Hadoop , Mapreduce, Pig Latin (the coding language)
*The basics of Analytics – Concepts , Data preparation – merging, managing missing numbers sampling , Data visualisation, Basic statistics
*Handling an Analytics project on BigData

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Students Interested 1 (Seats Left 0)

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