Types of big data:
- Human generated data:
- Swipe of credit card
- Scan of bar code
- Actions captured on mobile phones
- Machine generated data:
- Data logers
- Sensors
From hindsight, to insight to foresight:
- Descriptive: what did happen
- Diagnostic: why did it happen
- Predictive: will it happen again
- Prescriptive: how can we make it happen
Types of data (sorted by % use in descending order) - ref2:
- Time series
- Business transactions
- Geospatial/location
- Graph (network)
- Clickstream
- Health records
- Sensor
- Image
- Genomic
According to Gartner (Ref3):
- Rising up to the peak of inflated expectation:
- Data science
- Predictive analytics
- In the downslope of desillusion
- Complexe event processing
- Big Data
- Content analytics
Big data can be used for:
- Engage and empower data consumers:
- Discovering new business opportunities
- Identify new product opportunities
- More reliable decision making
- Plan and optimize: Improve operation efficiency
- Personalize experience
HTAP = OLTP + OLAP = new generation of in-memory data platforms that can perform both online transaction processing (OLTP) and online analytical processing (OLAP) without requiring data duplication.
Ref 2: from http://www.paradigm4.com/wp-content/uploads/2014/06/P4-data-scientist-survey-FINAL.pdf
Ref 3: Gartner 2014 hype cycle: http://www.gartner.com/newsroom/id/2819918
