Big data Architecture approach stretegy

We need new approach to the data

Traditional Approach
structured , logical , analytical

Data Warehouse : Transaction data
Internal App Data , Mainframe Data  : Structured Repeatable Linear
OLTP System Data  , ERP Data  : Traditional Sources


New Approach
Creative , holistic thought , contextual

Hadoop Streaming Data : Web logs , URLs
Unstructured Exploratory Iterative ; Text Data : emails , chats , Social Data
New Sources : RFID , Sensor data , Network data

We don't have better algorithms than anyone else we just have more data
- peter Norvig Chief Scientist Google

Industrial Internet : Machine-based analytics : physics - based, deep domain expertise. automated , predictive
- Intelligent Machines : Connect the world's machines. facilities, fleets and networks with advanced sensors, controls and software application
- Advanced Analytics  : combines the power of physics - based analytics, predictive algorithms, automation and deep domain expertise
- People at Work : Connecting People work or on the move , any time to support more intelligent design , operations, maintenance and higher sevice quality and safety

Industrial internet data loop :
1. Intelligence flows back into machines
2. Extraction and storage of proprietary machine data stream
3. Machine - based algorithms and data analysis
4. Remote and Centralized data visualization
5. Data Sharing with the right people and machines

It's necessary to include Big data in the formal DW Architecture
1. advanced analystics in the formal Dw Architecture
2. add Big data process architecture
3. expand real time process architecture
4. discover the new information through the search