Slides presented at Data 2.0 conference on the announcement of the Partnership of Twitter and Mediasift

1. NICK HALSTEAD
@NIK
RYAN SARVER
@RSARVER

2. REALTIME TWITTER DATA MINING
@DATASIFT

3. WHAT IS IN A TWEET?

4. WHAT IS IN A TWEET?

5. MINING THE TWEET
170 MILLION (daily)

6. MINING THE TWEET
170 MILLION (daily)

7. MINING THE TWEET
REAL-TIME OUTPUT
170 MILLION (daily)

8. DATA FILTERING
CSDL - Curation Stream Definition Language

9. AUGMENTATIONS
KLOUT PEERINDEX QWERLY
LEXALYTICS TRENDS

10. BIGSTORE

11. BIGSTORE
REAL-TIME OUTPUT
170 MILLION (daily)

12. BIGSTORE
REAL-TIME OUTPUT
170 MILLION (daily) BIGSTORE

13. BIGSTORE
HBASE

14. BIGSTORE
HBASE POST-PROCESSING

15. BIGSTORE
HBASE POST-PROCESSING MAP-REDUCE

16. BIGSTORE
HBASE POST-PROCESSING MAP-REDUCE EXPORTING

17. BIGSTORE
HBASE POST-PROCESSING MAP-REDUCE EXPORTING
API

18. BIGSTORE

19. WHAT CAN YOU BUILD?

20. @STOCKSIFT

21. @STOCKSIFT

22. @STOCKSIFT

23. @CLUSTERAPP

24. @CLUSTERAPP

25. @CLUSTERAPP

26. USE CASES / VERTICALS
• Below are some of the use cases from the Alpha programme.
This is a con7nuously evolving set of applica7ons, based upon market feedback. Mining
Oil & Gas
Exploration
Sports Utilities
Energy Automobiles
Crisis Management
Industrials Aerospace / Defence
Basic Resources
Events / Trigger Reputation Management Banking
Chemicals
Financial Services Construction
Monitoring Risk Analysis
Data Analysis Insurance Industrial Goods
Research
Property
Brand Marketing Viral Campaigns Airlines
Influencing
Media Shipping
Qualitative Feedback Transportation Rail
CRM
Health Pharmaceuticals
Augmented Research
Healthcare
Technology
Government Telecommunications
Retail / Consumer F&B
Personal Goods
Travel & Leisure

27. DATASIFT.COM
@DATASIFT