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Big Data
 

Big Data

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For Hongkong Electric staff seminar

For Hongkong Electric staff seminar

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    Big Data Big Data Presentation Transcript

    • Data Charles Mok, Legislative Councilor (IT) 21.08.2013
    • Wh- is big data? •What •Who •When •Where •Why •How
    • What is big data? Gartner Group definition: "Big data is high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization." Plus, high veracity suggested by other experts
    • High Volume? KBMBGBTBPBEBZB Google NC data center Approximate Data Volume in the world 2013: up to 3.6 ZB (zettabytes) 400billion feature length HD movies
    • High Velocity? Every 60 seconds on Facebook there are: • 510,000 posted comments • 293,000 status updates • 136,000 uploaded photos 30 billion pieces of content are shared each month 20 million Facebook apps are installed per day From 2012 statistic,
    • High Velocity? (Cont.) Twitter 190,000,000 tweets are sent on average per day The record is 25,088tweets per second Require high processing power
    • High variety? Any type of data, meaningful data & meaningless data (if you think so…) Images Documents Browserhistory GPS location Browsing habitMedical history Transaction record Opendata Wi-Fi signal Share Logistic
    • High veracity? How do you trust on the data? Does it simply mean a like? Or… it actually means VS
    • a.k.a • Cloud computing • Web analytics • Data mining • Data discovery
    • Who are producing big data? YOU & I
    • When? Every search Like Follow Upload a photo Accept permissions (mobile app / online service) Every browseOnline shopping Post a status Share
    • Who benefit from big data? YOU & I Service providers improve their service through collecting more data.
    • Who can make use of big data? • ISPs • Utilities • Government • Corporations • Academic • Everyone who can collect and access to data With more than 1,000 universities
    • Where do they store/process big data?
    • Why do they use big data? • Provide better consumer experience • Facilitate corporate operation • Seek for a new business model • Risk and financial management • Boosting effectiveness • Government Surveillance
    • Why do they use big data? Win an election Obama did it in 2012
    • How to make use of Big Data? • 2008: Social Media • 2012: Add big data • Decide how to approach voters • Top targets: unsubscribed list back in 2008 • Different message scripts for different demographic groups • Phone call & email • Predict turnout • Simulating election 66,000 times result per night • Reallocating resource in each states
    • How does it work? • Visualizing Big Data • Concept on how to analyze data • Power BI for Office 365 Demo
    • WhenOpenData meets Big Data–DoNo Evil Do No Evil (起你底) • HK ICT Award 2013: • Best Lifestyle Silver Award • Over 2 million local litigation records from the courts of Hong Kong dating as far back as 1990 for civil cases and 2004 for criminal cases.
    • • Comment from judge panel: • This mobile application integrates an extensive database with a highly user-friendly search engine, allowing users to easily conduct legal background search of companies or targeted persons in an instant and economical way. This demonstrates a good combination of mobile technology and ICT technology. WhenOpenData meets Big Data–Do No Evil
    • • One-station background analysis on • Potential employee • Business partner • Future son in law • Government Officials?? WhenOpenData meets Big Data–Do No Evil
    • Abuse of Big Data? Example: NSA /CIA surveillance programs Privacy? Right to know? Big brother of the new era? Beyond commercial abuses, also by governments Ongoing debate: Negative impact to U.S. cloud vendors
    • Future of Big Data • Keep growing: in size and analytical power • Growing security concerns • More conflicts in privacy issues • Data processing requires more electricity than lighting network all over the world in 2035
    • THE END Facebook: Charles Mok B / page: Charles Mok 2012 Twitter: Charlesmok Linkedin: Charlesmok Website:charlesmok.hk Email: charlesmok@charlesmok.hk