Big DataTraining in Bangalore

BIG DATA COURSE CONTENT

Introduction

Big Data Overview

What is Big Data Analytics

Necessity for Big Data Analytics

Role of a Data Analyst

What is Data Science

Necessity for Data Science

Role of Data Scientist

Use Cases

Finance

Retail

Advertising

Defense and Intelligence

Telecommunications and Utilities

Healthcare and Pharmaceuticals

Data Analytics Process

Preparation

Pre Processing

Analysis

Post Processing

Data Preparation

Planning

Data Collection

Data Selection

Tools for Data Preparation

Introduction to SQL DB\’s

Introduction to NoSQL DB\’s

Key / Value pair

Mongo DB

Cassandra

Graph DB\’s (Neo4j)

Hands on Exercise : Using SQL and NoSql DB\’s

Data Preparation Import/Export

Sqoop

Flume

Hands on Exercise : Usage of Tools

PreProcessing

Data Cleaning

Data Filtering

Data Completion

Data Correction

Data Standardization

Data Transformation

Tools for Data PreProcessing

Data Preprocessing using Pig

Writing Pig Latin scripts and processing data

Data Preprocessing using Hive

Writing Hive Scripts and processing data

Hands on Exercise : Pig and Hive

Data Analysis Introduction

Recommendation

Classification

Clustering

Mahout

Recommendataion

Introduction to Recommendations

Making recommendations, various techniques

Hands on Exercise for Recommendations

Classification

Classification System Overview

Classification process

Naive Bayes Classifier

Descision Trees

Examples of Classification

Clustering

Clustering basics

Hierarchical clustering

K-Means clustering

Running clustering example

Exploring distance measures

Data Visualization using R

Language basics

Data Frames

Vectorized operations on Data Frames

Selection

Projection

Transformation

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BigData  Interview Questions