Uploaded by TeradataRiver on Dec 1, 2011
More Info http://www.teradatariver2.com ; Invitation: join@teradatariver.com
Manu Sharma
Principal Research Scientist
LinkedIn
www.linkedin.com
Teradata PARTNERS 2011 San Diego
Companies who compete on analytics and delivering data-driven services need to iterate quickly on big data. This enables rapid data exploration to identify unknown relationships and trends to create new products and services. Come to this session to see how LinkedIn has created a core competency around analytics. Understand about the techniques and technologies LinkedIn data scientists use to create data-driven products. Get ideas of how to apply iterative big data analytics in your own organization and enable your own analytics center of innovation.
Presentation Talking Points:
• What is LinkedIn?: @ 2:00
• Who is on LinkedIn: @ 3:51
• Multiple Revenue Channels: @ 4:54
• What is Data?: @ 6:15
• What is Data Science: @ 8:44
• What Technologies are Used at LinkedIn: @ 10:41
• What do We do With Data: @ 13:47
• Challenges with the Scale of Data: @ 15:26
• Building In-House Solutions at LinkedIn: @17:56
• Cleaning and Using the Data to Build New Products: @ 20:10
• Collaborative Filtering: @ 22:20
• People You May Know: @ 23:06
• Data Products on Your LinkedIn Page: @24:00
• Our Newest Data Product - Skills: @25:13
• Building Compelling Products using Standardized Data: @ 26:20
• Drawing Insights for LinkedIn: @ 28:35
• Example: 2008 Financial Collapse: @ 30:31
• How Often do People Change Jobs: @ 31:14
• What is in a "Professional" Name: @ 32:25
• Using Wisdom to Drive Business: @ 32:47
• Strategic Analysis: @ 33:06
• Q&A : @ 37:15
Category:
Tags:
- Teradata
- PARTNERS 2011
- PARTNERS San Diego
- Manu Sharma
- Big Data Analytics
- Iterative Data
- Data Science
- Principal Research Scientist
- Revenue Channels
License:
Standard YouTube License
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