Module 1 – Big Data Basics
- What Is Big Data?
- Definitions
- Characteristics (3 V’s plus 2)
- Types of Big Data
- Why Big Data Analytics – Extending Advanced Analytics Capabilities
- Big Data Use Cases
- Customer Understanding and Targeting
- Business Process Optimization
- Healthcare Advances
- Law Enforcement and Public Safety
- Sports Performance Improvement
- Public Transportation and Infrastructure Advances
- Why Big Data Now? – The Driving Forces
- Kinds of Big Data – Data Variety
- Sources of Big Data
- Web and Social Media
- Machine to Machine
- Other Sources (Big Transaction Data, Biometrics, Human Generated Data,
- Publicly Available Data, Legacy Documents)
- Working with Big Data – The Big Picture
Module 2 – Big Data Processes
- Business Case
- Business Needs and Opportunities
- Areas of Insight
- Expected Outcomes
- Business Value Projection
- Technical Case – Big Data Rationale
- Data Sourcing – Getting Big Data
- Data Preparation and Storage
- Data Selection
- Data Cleansing
- Data Integration
- Data Reduction
- Big Data Analytics
- Problem Framing
- Analytic Purpose
- Analytic Modeling
- Data Visualization
- Consumption and Application
Module 3 – Big Data Architecture
- The Role of Architecture
- Data Architecture
- Data Storage
- Data Access
- Data Analysis
- Data Consumption
- Process Architecture
- Data Governance Processes
- Data Integration and Quality
- Analytics Architecture
- Machine Learning
- Predictive Analytics
- Prescriptive Analytics
- Descriptive Analytics
- Reporting
- Technology Architecture
- Search and Visualization
- Data Management and Data Access
- Hadoop and NoSQL
- Big Data ... Big Architecture – Summary
Module 4 – Big Data Technology
- The Technology Landscape – Overview
- Infrastructure
- Databases
- Development and Deployment Environment
- Analytics – Data Analysis
- Data Sources – Big Data Providers
- The Core Technologies
Module 5 – Getting Started with Big Data
- Readiness Assessment – Check Your Position
- Planning and Preparation – Charting the Course
- Execution – Navigating the Course
- Post-Project Activities – At the Destination
- Best Practices – Lessons Learned
- Mistakes to Avoid – More Lessons Learned
Module 6 – Summary and Conclusion
- Summary of Key Points – A Quick Review
- References and Resources – To Learn More
