Duration
5 days
Overview
This foundational course provides a high-level overview of essential Big Data topic areas. A basic understanding of Big Data from business and technology perspectives is provided, along with an overview of common benefits, challenges, and adoption issues. The course content is divided into a series of modular sections, each of which is accompanied by one or more hands-on exercises.
Prerequisites
- Basic familiarity with databases and data management
Day 1
Fundamental Terminology and Concepts (30 min)
Veracity, variability, visualization, and value (and the 3 V’s)
MapReduce and Hadoop
Unstructured, semi-structured, and structured data
Brief History of Big Data (30 min)
Google and MapReduce
Web 2.0
Business Drivers for Big Data (30 min)
KYC (Know Your Customer)
Sales & Marketing
Financial forecasting
BREAK (15 min)
Characteristics of Big Data (30 min)
Benefits of Adopting Big Data (30 min)
Challenges and Limitations of Big Data (30 min)
LUNCH (60 min)
Basic Big Data Analytics (30 min)
Big Data and Traditional Business Intelligence and Data Warehouses (30 min)
Big Data Visualization (30 min)
BREAK (15 min)
Common Adoption Issues (30 min)
Planning for Big Data Initiatives (30 min)
New Roles Introduced by Big Data Projects (30 min)
Emerging Trends (10 min)
Day 2
Data Collection (90 min)
Techniques and methods of domain-based collection
Sample healthcare datasets and data formatting
Types of data (slowly changing, rapidly changing, etc.)
BREAK (15 min)
Data Processing (90 min)
Data cleansing, massaging, etc.
Transferring data to distributed stores for processing
Querying loaded data
LUNCH (60 min)
Data Analytics (90 min)
Working with R/Hadoop
Working with Pig/Hive and designing Big Data Warehouses
Opening results up for retrieval for further analysis
BREAK (15 min)
Hands-on Exercises (90 min)
Working with healthcare data sets from USA
Hadoop/Pig/Hive
Programme scope, delivery arrangements and suitability are confirmed during enquiry.