9. > Cornerstone 1: Employ All Data
• Raw unstructured – Web logs, machine
/sensor data, mobile social, video, etc.
• Structured data – traditional RDMBS, EDW’s
• Streaming vs. batch oriented
• Data governance and quality
10. > Cornerstone 2: Use All Analytic Assets
• Traditional models and assets
• Standard Hadoop components including
UDFs and SerDes
• Custom algorithms
• Models created in other systems such as
SAS/R
11. > Cornerstone 3: Provide Self-Service Access for All Users
•
•
•
•
• Easy-to-use ad-hoc analysis, web-based forms
• Drag and drop
•
• Common skills: SQL
• Powerful iterative analysis
• Analytical models and algorithms
•
17. > Summary Get the Best of Both Worlds – Build a Bridge Inside Your Company
Big Data Analytics on Hadoop
Future, see intent
Drives Optimization
BI Just getting started
Historical
Drives reporting
Entrenched
Be around for a long time