大数据研究(英文)
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Exploring Big Data Analysis: Fundamental Scientific Problems
Outline
Big Data: Opportunities and Challenges Some More Scientific Problems in Big
Data Analysis and Processing Some Advances on Big Data Research
Business
• New chance of getting benefit/incomes
• Valuable customer finding • Marketing
Big Data: Opportunities and Challenges
Big data research: A real inter/multidisciplinary activities.
Volume
PB—ZB in scale Distributed storage and
processing necessary
Velocity
Growing tremendously Data flow
Variety
Multisource, correlated, heterogeneous
Representation (Uniform scheme; Complexity); Modeling (Parent space identification; sampling); Mining (CluHstieAgrhriAnclgych;qidCtueolicamstsiutsaiirofinienc;-a;sStpQioyensuct;aiefRlmiicetg;y/Sr;AeoSsnfsttyiawonnda;darPatearr/Ae-ddd;lirgcSiotvihroeainntr;hifVmnieag;lr;diSaPsbcr(laSeilvoaSacbeiclaieylcimttpyiore/nodC)ti;oaecmAbtaniposaleneldy;x;tiSTticyarsa;f(edRRteyeedl;aeaDvltaatainbmtcaaees-Adepdrnr;iavoRlyecesnecissos;riLdnag(Steunrtvey, variablemanaanlyatgicesm; SetnattisOticbasleirnvfaetrieonnc)eb);asCedo;mEpmuptiartiicoanl d(aStuabbsaasmedp;liEngx;pCeroimmpenletxailtdy;atDaisbtarsibedu)ted computation)
Management Science
Data acquisition& data management
Information Science
Math and statistics
Data assess & processing
Data understanding
Engineerings
Applications
Big Data: Opportunities and Challenges
Why difficulty? Big data challenges the existing information technologies, management paradigm, statistical and computational sciences.
Fundamental Challenge 1
Fundamental Challenge 2
Fundamental Challenge 3
Fundamental Challenge 4
CChhaalllelnenggeseCs31:ChSa:hltDalaeltanlietsgnateigcRses2es&s4:o:IuCTBro&cimge SDMpcuaiatenantacEigoenenfmgofironerneBetBi&rgiignDPgDaustabatlaicAPnoalilcyiteiscs
Social Governance
• The fourth paradigm of research • A systematic approach uniquely
applicable to modern management (Jims Gray) • Big data view of assessing public policies
Management Science
Data acquisition& data management
Information Science
Math and Statistics
Data assess & processing
Data understanding
Fundamental Challenge 1
What opportunities：Big data embody great values that might not be explored in small sized data.
Scientific Researches
• High-energy physics • Astronomy • Life science • Geosciences and remote sensing
Baidu Nhomakorabea
Big Data: Opportunities and Challenges
Big Data
A term for a collection of
data that are very large
and complex so that it is
difficult to process and
)
analyze using on-hand
Unstructured, unreliable, inconsistent.
Value
Total dataset embodies great value
Individual or small subset contains less information
Big Data: Opportunities and Challenges
database management
tools, traditional data
processing methods and
analysis methodologies .
(Wikipedia )
ZB(1021), EB(1018), PB(1015), TB(1012), GB(109), MB(106)
Fundamental Challenge 2
Fundamental Challenge 3
Engineerings
Applications
Fundamental Challenge 4
Big Data: Opportunities and Challenges
Big data research: A real inter/multidisciplinary activities.
Outline
Big Data: Opportunities and Challenges Some More Scientific Problems in Big
Data Analysis and Processing Some Advances on Big Data Research
Business
• New chance of getting benefit/incomes
• Valuable customer finding • Marketing
Big Data: Opportunities and Challenges
Big data research: A real inter/multidisciplinary activities.
Volume
PB—ZB in scale Distributed storage and
processing necessary
Velocity
Growing tremendously Data flow
Variety
Multisource, correlated, heterogeneous
Representation (Uniform scheme; Complexity); Modeling (Parent space identification; sampling); Mining (CluHstieAgrhriAnclgych;qidCtueolicamstsiutsaiirofinienc;-a;sStpQioyensuct;aiefRlmiicetg;y/Sr;AeoSsnfsttyiawonnda;darPatearr/Ae-ddd;lirgcSiotvihroeainntr;hifVmnieag;lr;diSaPsbcr(laSeilvoaSacbeiclaieylcimttpyiore/nodC)ti;oaecmAbtaniposaleneldy;x;tiSTticyarsa;f(edRRteyeedl;aeaDvltaatainbmtcaaees-Adepdrnr;iavoRlyecesnecissos;riLdnag(Steunrtvey, variablemanaanlyatgicesm; SetnattisOticbasleirnvfaetrieonnc)eb);asCedo;mEpmuptiartiicoanl d(aStuabbsaasmedp;liEngx;pCeroimmpenletxailtdy;atDaisbtarsibedu)ted computation)
Management Science
Data acquisition& data management
Information Science
Math and statistics
Data assess & processing
Data understanding
Engineerings
Applications
Big Data: Opportunities and Challenges
Why difficulty? Big data challenges the existing information technologies, management paradigm, statistical and computational sciences.
Fundamental Challenge 1
Fundamental Challenge 2
Fundamental Challenge 3
Fundamental Challenge 4
CChhaalllelnenggeseCs31:ChSa:hltDalaeltanlietsgnateigcRses2es&s4:o:IuCTBro&cimge SDMpcuaiatenantacEigoenenfmgofironerneBetBi&rgiignDPgDaustabatlaicAPnoalilcyiteiscs
Social Governance
• The fourth paradigm of research • A systematic approach uniquely
applicable to modern management (Jims Gray) • Big data view of assessing public policies
Management Science
Data acquisition& data management
Information Science
Math and Statistics
Data assess & processing
Data understanding
Fundamental Challenge 1
What opportunities：Big data embody great values that might not be explored in small sized data.
Scientific Researches
• High-energy physics • Astronomy • Life science • Geosciences and remote sensing
Baidu Nhomakorabea
Big Data: Opportunities and Challenges
Big Data
A term for a collection of
data that are very large
and complex so that it is
difficult to process and
)
analyze using on-hand
Unstructured, unreliable, inconsistent.
Value
Total dataset embodies great value
Individual or small subset contains less information
Big Data: Opportunities and Challenges
database management
tools, traditional data
processing methods and
analysis methodologies .
(Wikipedia )
ZB(1021), EB(1018), PB(1015), TB(1012), GB(109), MB(106)
Fundamental Challenge 2
Fundamental Challenge 3
Engineerings
Applications
Fundamental Challenge 4
Big Data: Opportunities and Challenges
Big data research: A real inter/multidisciplinary activities.