1. Overview
- Why data is big in systems?
- Limitations in relational database
- Requirements in business
- Questions to open discussion
2. System Design
2.1 Overview about building big data system
2.2. Design Architecture the Big Data Solution
a. Data Source
b. ETL
c. Data Storage
d. Data Processing
e. Data Visualization
3. Data Analtic
- Pivot by Excel and limitations
- iPython
- BI Tool (ex: Kylin)
4. Control Access to Data System
- How to limit access to big data system
- How to hash confidential information
- How to non technical members to extract raw data
5. Q&A
