big data: why, what, paradigm shifts enabled , tools and market landscape
TRANSCRIPT
BigData Big Data:
an introduc/on
Emanuele Della Valle DEIB -‐ Politecnico di Milano [email protected] h>p://emanueledellavalle.org
BigData
Agenda • Why now? • Its value • What is it? • Paradigm shiFs enabled • Tools • Market Landscape
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BigData
Why now? 2/5
[sou
rce: M
cKinsey, 2011]
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Hard-‐drive are becoming cheaper
We are all data producers
We do it on a regular basis
Data are growing faster than IT spending Data gets
cumulated …
… everywhere
BigData
Why now? 3/5
[source: h>p://www.intel.com/newsroom/bigdata/] 29/09/2014 h>p://emanueledellavalle.org 5
We do it on a regular basis
BigData
Why now? 4/5
29/09/2014 h>p://emanueledellavalle.org 6 [sou
rce: h>p://www.go-‐gulf.com/blog/60-‐secon
ds/]
BigData
Why now? 5/5
29/09/2014 h>p://emanueledellavalle.org 7 [sou
rce: h>p://www.go-‐gulf.com/blog/60-‐secon
ds-‐v2/]
BigData
Its value 2/3
[source: McKinsey, 2011]
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healthcare
Public Administra/ons
Personal loca/on
BigData
Its value 3/3
[source: McKinsey, 2011]
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margin
jobs
skills
BigData
… so what's Big Data?
[source: IBM, 2012]
Analysis of the answers of
1144 responders from
organiza/ons that run Big
Data projects
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BigData
Characteris/cs 4/5
[source: IBM, 2012]
the one certainty about uncertainty
is that it is not likely to go away
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BigData
Paradigm ShiFs Enabled 1/3
[source: Marc Andrews, 2014]
Leverage more of the data being captured
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BigData
Paradigm ShiFs Enabled 1/3
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Reduce effort required to leverage data
[source: Marc Andrews, 2014]
BigData
Paradigm ShiFs Enabled 2/3 Data-‐driven explora/on looking for correla/on
29/09/2014 h>p://emanueledellavalle.org 19 [source: Marc Andrews, 2014]
BigData
Paradigm ShiFs Enabled 3/3 Leverage data as it is captured
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BigData
Market Landscape
[source: Ma> Turck (@ma>turck) and Su/an Dong(@su/andong] 29/09/2014 h>p://emanueledellavalle.org 25
BigData
Market Landscape
[source: Ma> Turck (@ma>turck) and Su/an Dong(@su/andong] 29/09/2014 h>p://emanueledellavalle.org 26
Infrastructure Analy/cs
Applica/ons
Cross Infrastructure Analy/cs
Open Source
Data Source
BigData
Credits • Big Data: the next fron/er for innova/on, compe//on, and
produc/vity. McKinsey Global Ins/tute. May, 2011. – h>p://www.mckinsey.com/insights/business_technology/big_data_the_next_fron/er_for_innova/on
• Analy/cs: The real-‐world use of big data. IBM Ins/tute for Business Value In collabora/on with Saïd Business School at the University of Oxford. 2012 – h>p://www-‐03.ibm.com/systems/hu/resources/the_real_word_use_of_big_data.pd
• �Big Data & Analy/cs: Next Genera/on Architecture and Capabili/es. Marc Andrews, 2014 – h>ps://www.ibm.com/partnerworld/wps/servlet/RedirectServlet?cmsId=isv_ast_smp_ecosystem-‐
webcasts&a>achmentName=Data_Warehouse_deck.pdf
• Hype Cycle for Big Data, 2012. Gartner, 2012 – h>ps://www.gartner.com/doc/2100215/hype-‐cycle-‐big-‐data-‐
• Big Data Landscape, version 3.0. Ma> Turck, and Su/an Dong, 2014 – h>p://pt.slideshare.net/mjF01/big-‐data-‐landscape-‐ma>-‐turck-‐may-‐2014
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BigData Thank you!
Any Ques/on?
Emanuele Della Valle DEIB -‐ Politecnico di Milano [email protected] h>p://emanueledellavalle.org