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שרון ויינטה מאגר הנתונים ברשת חברתית

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שרון ויינטה , הרצה במסגרת יום עיון "עולם הרשתות החברתיות - אחזור מידע " בנושא "מאגר הנתונים שמאחורי הרשת החברתית"
שרון ויינטה, יזם , מרצה בנושא "ניהול המוצר" במסגרת תפנית , האוניברסיטה הפתוחה.

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שרון ויינטה מאגר הנתונים ברשת חברתית

  1. 1. Why I LIKE the Facebook Database… Sharon Viente May 2010
  2. 2. About Me
  3. 3. Agenda <ul><li>Some Numbers </li></ul><ul><li>Site Elements </li></ul><ul><li>The context of ME </li></ul><ul><li>Database Structure </li></ul><ul><li>Open Graph Protocol </li></ul><ul><li>Realization and Monetizing </li></ul><ul><li>Future Plans </li></ul>
  4. 4. Some Numbers <ul><li>More than 400 million active users </li></ul><ul><li>50% of our active users log on to Facebook in any given day </li></ul><ul><li>Average user has 130 friends </li></ul><ul><li>People spend over 500 billion minutes per month on Facebook </li></ul><ul><li>There are over 160 million objects that people interact with (pages, groups and events) </li></ul><ul><li>Average user is connected to 60 pages, groups and events </li></ul><ul><li>Average user creates 70 pieces of content each month </li></ul><ul><li>More than 25 billion pieces of content (web links, news stories, blog posts, notes, photo albums, etc.) shared each month. </li></ul><ul><li>More than 550,000 active applications currently on Facebook Platform </li></ul><ul><li>More than 250,000 websites have integrated with Facebook Platform </li></ul><ul><li>There are more than 100 million active users currently accessing Facebook through their mobile devices. </li></ul><ul><li>You are worth as much as your CONNECTIONS. </li></ul>
  5. 5. Site Elements <ul><li>You are linked to any other person linked on any other element: </li></ul><ul><li>Friends </li></ul><ul><li>Groups </li></ul><ul><li>Events </li></ul><ul><li>Likes </li></ul><ul><li>Apps </li></ul><ul><li>… </li></ul>Facebook Services – Everything! Blog (Wall+comments) + Microblogging (Twitter like) – “What’s on your mind” + Messages + Photo Sharing (Flicker) + Events (Evite) + Search (google) + Chat (MSN Messenger) + Applications All services are using the same database
  6. 6. The context <ul><li>The context of web browsing is more personal since it is derived from your person preferences: </li></ul><ul><li>Friends /Groups /Likes </li></ul><ul><li>Examples: </li></ul><ul><li>Apartment for rent </li></ul><ul><li>Job Hunt </li></ul><ul><li>Dating </li></ul>
  7. 7. Database Schema
  8. 8. Open Graph protocol <ul><li>Open Graph protocol / Connect </li></ul><ul><li>Single Sign On - Identity, network, and privacy settings . </li></ul><ul><li>External Like - </li></ul>
  9. 9. Facebook Data Pipeline Web Servers Scribe Servers Network Storage Hadoop Cluster Oracle RAC MySQL Analysts Hive Queries Summaries
  10. 10. Ads <ul><li>Create an add  Target Audience: </li></ul><ul><ul><li>How many people will see my ad? </li></ul></ul><ul><ul><li>Let’s find out </li></ul></ul>
  11. 11. Future <ul><li>News Feed Optimization </li></ul><ul><li>Page Integration </li></ul><ul><li>Geo location </li></ul><ul><li>Address Shortening </li></ul><ul><li>Microblogging </li></ul><ul><li>Image Recognition </li></ul>
  12. 12. <ul><li>Thank you </li></ul>

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