网站综合信息 sss13.org
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    • BigData Science – Tools to plow  
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    • Characteristics of Data Structured – defined data type, format, structure –Transactional data, OLAP  
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    • 域名年龄:11年3个月21天  注册日期:2014年04月06日  到期时间:
      邮箱:jwaz39  电话:+1.1264567894
      注册商:Domain.com, LLC 
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    sss13.org

    域名年龄: 11年3个月21天
    注册时间: 2014-04-06
    注 册 商: Domain.com, LLC
    注册邮箱: jwaz39
    联系电话: +1.1264567894

    获取时间: 2016年11月16日 06:06:58
    Domain Name: SSS13.ORG
    Domain ID: D171812534-LROR
    WHOIS Server:
    Referral URL: www.domain.com
    Updated Date: 2016-03-22T13:23:04Z
    Creation Date: 2014-04-06T16:22:06Z
    Registry Expiry Date: 2017-04-06T16:22:06Z
    Sponsoring Registrar: Domain.com, LLC
    Sponsoring Registrar IANA ID: 886
    Domain Status: ok https://icann.org/epp#ok
    Registrant ID: tu3weN7kcQW4oK5M
    Registrant Name: Sea Scout Ship 13
    Registrant Organization: Sea Scout Ship 13
    Registrant Street: 1234 Washington Blv
    Registrant City: Lockport
    Registrant State/Province: IL
    Registrant Postal Code: 60441
    Registrant Country: US
    Registrant Phone: +1.1264567894
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    Registrant Email: jwaz39
    Admin ID: tuJLL0DvHsMpz8GQ
    Admin Name: Sea Scout Ship 13
    Admin Organization: Sea Scout Ship 13
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    Admin City: Lockport
    Admin State/Province: IL
    Admin Postal Code: 60441
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    Name Server: NS2.DOMAIN.COM
    Name Server: NS1.DOMAIN.COM
    DNSSEC: unsigned
    >>> Last update of WHOIS database: 2016-11-15T22:11:02Z <<<

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    抓取时间:2019年09月07日 15:15:22
    网址:http://sss13.org/
    标题:BigData Science – Tools to plow Treasure from data fie
    关键字:
    描述:Characteristics of Data Structured – defined data type, format, structure –Transactional data, OLAP cubes, RDBMS, CVS files, spreadsheets Semi-structured –Text data with discernable patterns – e.g., X
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    BigData Science
    Tools to plow Treasure from data fields
    Concepts to Harvest Data
    Characteristics of Data
    Structured – defined data type, format, structure –Transactional data, OLAP cubes, RDBMS, CVS files, spreadsheets Semi-structured –Text data with discernable patterns – e.g., XML data.
    Quasi-structured –Text data with erratic data formats – e.g., clickstream data.Unstructured –Data with no inherent structure – text docs, PDF’s, images, video
    Sources of Getting data
    Mobile sensors – GPS, accelerometer, etc.Social media – 700 Facebook updates/sec in2012 Video surveillance – street cameras, stores, etc.Video rendering – processing video for displaySmart grids – gather and act on informationGeophysical exploration – oil, gas, etc.Medical imaging – reveals internal body structuresGene sequencing – more prevalent, less expensive, healthcare would like to predict personal illnesses
    Extracting Data
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