This course is recommended as an advancement to Processing Big Data on Hadoop. While Processing Big Data was geared more towards developers who wanted to understand how to use Hadoop to handle and arrange Big Data, this course will go on to teach how to perform analytical operations to gain insights from data processed through Hadoop. Big Data Analytics on Hadoop will teach you all you need to learn about Big Data 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 Big Data. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for Analytics.
| 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 -
Data visualisation-Graphs , Charts - the basics
Correlation , Covariance
Hypothesis Testing - T Test - Annova -
Highly qualified and certified instructors with industry relevant experience deliver trainings.
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