Why I LIKE the Facebook Database… Sharon Viente May 2010.

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Why I LIKE the Facebook Database… Sharon Viente May 2010

Transcript of Why I LIKE the Facebook Database… Sharon Viente May 2010.

Page 1: Why I LIKE the Facebook Database… Sharon Viente May 2010.

Why I LIKE the Facebook Database…

Sharon VienteMay 2010

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About Me

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Agenda

• Some Numbers• Site Elements• The context of ME• Database Structure• Open Graph Protocol• Realization and Monetizing• Future Plans

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Some Numbers• More than 400 million active users• 50% of our active users log on to Facebook in any given day• Average user has 130 friends• People spend over 500 billion minutes per month on Facebook • There are over 160 million objects that people interact with (pages,

groups and events)• Average user is connected to 60 pages, groups and events• Average user creates 70 pieces of content each month• More than 25 billion pieces of content (web links, news stories, blog

posts, notes, photo albums, etc.) shared each month.• More than 550,000 active applications currently on Facebook Platform• More than 250,000 websites have integrated with Facebook Platform• There are more than 100 million active users currently accessing Facebook

through their mobile devices.• You are worth as much as your CONNECTIONS.

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Site Elements

You are linked to any other person linked on any other element:•Friends•Groups•Events•Likes•Apps•…

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

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The context

The context of web browsing is more personal since it is derived from your person preferences:

Friends /Groups /LikesExamples:- Apartment for rent- Job Hunt- Dating

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Database Schema

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Open Graph protocol

Open Graph protocol / Connect-Single Sign On - Identity, network, and privacy settings .-External Like -

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Facebook Data Pipeline

Web Servers Scribe Servers

Network Storage

Hadoop Cluster

Oracle RACMySQL

Analysts

Hive Queries

Summaries

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Ads

• Create an add Target Audience:How many people will see my ad?Let’s find out

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Future

• News Feed Optimization• Page Integration• Geo location• Address Shortening• Microblogging• Image Recognition

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Thank you