1. DATA MINING IN CLOUD COMPUTING Xxxxxxx -11/27/2012 - DSCI 5240

2. Gone Flying  Internet is vital in our lives: Personal and professional  Cloud Computing is the latest trend in business and IT  Data Mining processes can be:  Exhaustive  Resource consuming  Costly

3. Agenda  Data Mining  Cloud Computing  Cloud Mining

4. Data Mining “The extraction of hidden predictive information from large databases”  Discover useful patterns and relationships  Predict future trends and behaviors  Knowledge-driven decisions

5. Data Mining Regression Clustering Decision trees Classification Neural Networks Association

6. Cloud Computing  Software and hardware delivered as services over the Internet  On demand  Self-service  Elastic  Broad network access  Resource pooling

7. Cloud Computing

8. How did we get here?

9. Data Mining in the Cloud  Process of extracting structured information from unstructured or semi-structured web data sources

10. Data Mining in the Cloud  Benefits  Good option to handle Big Data  You only pay for DM tools he needs  Faster deployment and value  No maintenance of hardware or software  Accessible anywhere and anytime (Web browser)  Enables creating analytical sandboxes on demand to optimize response to sudden market changes  Offload expensive processing from overburdened in house solutions

11. Data Mining in the Cloud  Challenges  Terms of contract with vendors: SLAs and contingency plans.  Regular data transfers from the company to the cloud over the internet.  Security: Companies have no control of their data beyond their firewalls  Dependability on multiple systems: Vendor’s servers, ISP uptime, etc.