SlideShare una empresa de Scribd logo
1 de 33
MICROSOFT DATA PLATFORM:
REDUCE TIME TO BUSINESS IMPACT
2
The World of Data
is Changing
4
Big Data
represents the
trends,
technologies,
and potential
for businesses
to obtain
valuable insight
from large
(petabytes, or
even zetabytes),
of structured,
unstructured,
and fast-
moving data.
5
“[T]here are there are things
we know we know.
We also know there are ;
that is to say we know there are some things
we do not know.
But there are also
–
there are things we do
not know we don't know.”
known knowns
known unknowns
unknown unknowns
6
known knowns
known unknowns
unknown unknowns
| Dashboards
| Data Exploration
| Predictive Analytics
“Let the your dataset change your mindset”
7
Trends
To gain competitive advantage and innovate, enterprises
must become more and more data-driven
Yet large bodies of structured and unstructured data
make it difficult to quickly generate insights
More businesses start realizing significant opportunities
to use advanced analytics to create predictive and
prescriptive models
How do I optimize my
fleet based on weather
and traffic patterns?
What’s the social
sentiment for my
brand or products
How do I better
predict future
outcomes?
Increases ad revenue by processing 3.5
billion events per day
Massive Volumes
Processes 464 billion rows per quarter, with
average query time under 10 secs.
Measures and ranks online user influence
by processing 3 billion signals per day
Cloud Connectivity
Connects across 15 social networks via the
cloud for data and API access
Uses sentiment analysis and web analytics
for its internal cloud
Real-Time Insight
Improves operational decision making for
IT managers and users
10
GAIN COMPETITIVE ADVANTAGE BY MOVING FIRST AND FAST IN YOUR INDUSTRY
Web app
optimization
Smart meter
monitoring
Equipment
monitoring
Advertising
analysis
Life sciences
research
Fraud
detection
Healthcare
outcomes
Weather
forecasting
Natural resource
exploration
Social network
analysis
Churn
analysis
Traffic flow
optimization
IT infrastructure
optimization
Legal
discovery
accelerating insights on any data
in-memory
accelerating business
process & insight
modern & optimized
built into data platform
complete
PowerPivot
xVelocity Analytics Engine
xVelocity Columnstore
StreamInsight
Windows Azure Cache
Project code name “Hekaton”
manage any data,
any size, anywhere
MANAGE ANY DATA, ANY SIZE, ANYWHERE
010101010101010101
1010101010101010
01010101010101
101010101010
Extremely large volume of unstructured web logs
Ad hoc analysis of logs to prototype patterns
Hadoop data cluster feeds large 24TB cube
Business users analyze cube data
E.g. STRUCTURED & UNSTRUCTURED DATA
POLYBASE: COMBINING RELATIONAL AND NON-RELATIONAL DATA
The future of query processing




ENRICH BY CONNECTING TO THE WORLDS DATA
Discover
Combine
Refine
DISCOVER DATA
FROM
TO
IDENTITY
DOC CONTEXT
SOCIAL GRAPHS
DATA EXPLORER
DATA HUB
POWER OF COMBINING THE WORLDS DATA
Value
REFINE DATA
Enterprise Information Management & Full Analytic Spectrum
E.g. VALUE OF EXTERNAL DATA
INSIGHTS ON ANY DATA, ALL USERS, WHEREVER THEY ARE
010101010101010101
1010101010101010
01010101010101
101010101010
INSIGHTS FOR ALL USERS THROUGH FAMILIAR TOOLS
PB TB GB
BIG DATA REQUIRES AN END-TO-END APPROACH
Discover Combine Refine
Relational Non-relational Streaming
INSIGHT
DATA
ENRICHMENT
DATA
MANAGEMENT
Self-Service Collaboration Corporate Apps Devices
Analytical
Parallel Data Warehouse
PowerPivot
Power View
Microsoft HDInsight Server
HDInsight Service
31
ADDITIONAL RESOURCES
LEARNMORE
1. Microsoft Big Data Solution: www.microsoft.com/bigdata
2. Windows Azure: www.windowsazure.com/en-us/home/scenarios/big-data
3. Microsoft BI blog:
http://blogs.msdn.com/b/microsoft_business_intelligence1/
TRY NOW
1. Preview of the Windows Azure HDInsight Service:
https://www.hadooponazure.com
2. Developer CTP of Microsoft HDInsight Server for Windows Server:
http://www.microsoft.com/bigdata
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and
Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Más contenido relacionado

La actualidad más candente

Big Data & Data Science
Big Data & Data ScienceBig Data & Data Science
Big Data & Data ScienceBrijeshGoyani
 
Big Data Analytics MIS presentation
Big Data Analytics MIS presentationBig Data Analytics MIS presentation
Big Data Analytics MIS presentationAASTHA PANDEY
 
Big Data, Big Opportunities
Big Data, Big OpportunitiesBig Data, Big Opportunities
Big Data, Big OpportunitiesArimo, Inc.
 
An Introduction to Big Data
An Introduction to Big DataAn Introduction to Big Data
An Introduction to Big DataeXascale Infolab
 
Thinking Outside the Table
Thinking Outside the TableThinking Outside the Table
Thinking Outside the TableOntotext
 
Big Data for One Big Family
Big Data for One Big FamilyBig Data for One Big Family
Big Data for One Big FamilyMatt Asay
 
A Hacking Toolset for Big Tabular Files (3)
A Hacking Toolset for Big Tabular Files (3)A Hacking Toolset for Big Tabular Files (3)
A Hacking Toolset for Big Tabular Files (3)Toshiyuki Shimono
 
Emerging database landscape july 2011
Emerging database landscape july 2011Emerging database landscape july 2011
Emerging database landscape july 2011navaidkhan
 
Big Data - The 5 Vs Everyone Must Know
Big Data - The 5 Vs Everyone Must KnowBig Data - The 5 Vs Everyone Must Know
Big Data - The 5 Vs Everyone Must KnowBernard Marr
 
Big Data: The 4 Layers Everyone Must Know
Big Data: The 4 Layers Everyone Must KnowBig Data: The 4 Layers Everyone Must Know
Big Data: The 4 Layers Everyone Must KnowBernard Marr
 
Introduction of big data and analytics
Introduction of big data and analyticsIntroduction of big data and analytics
Introduction of big data and analyticsSanjeev Solanki
 
Innovation med big data – chr. hansens erfaringer
Innovation med big data – chr. hansens erfaringerInnovation med big data – chr. hansens erfaringer
Innovation med big data – chr. hansens erfaringerMicrosoft
 
Big data analytics 1
Big data analytics 1Big data analytics 1
Big data analytics 1gauravsc36
 
Forecast of Big Data Trends
Forecast of Big Data TrendsForecast of Big Data Trends
Forecast of Big Data TrendsIMC Institute
 

La actualidad más candente (20)

Big data
Big dataBig data
Big data
 
Big Data & Data Science
Big Data & Data ScienceBig Data & Data Science
Big Data & Data Science
 
Big Data Analytics MIS presentation
Big Data Analytics MIS presentationBig Data Analytics MIS presentation
Big Data Analytics MIS presentation
 
Big Data, Big Opportunities
Big Data, Big OpportunitiesBig Data, Big Opportunities
Big Data, Big Opportunities
 
An Introduction to Big Data
An Introduction to Big DataAn Introduction to Big Data
An Introduction to Big Data
 
Thinking Outside the Table
Thinking Outside the TableThinking Outside the Table
Thinking Outside the Table
 
Big Data for One Big Family
Big Data for One Big FamilyBig Data for One Big Family
Big Data for One Big Family
 
A Hacking Toolset for Big Tabular Files (3)
A Hacking Toolset for Big Tabular Files (3)A Hacking Toolset for Big Tabular Files (3)
A Hacking Toolset for Big Tabular Files (3)
 
Emerging database landscape july 2011
Emerging database landscape july 2011Emerging database landscape july 2011
Emerging database landscape july 2011
 
Business analytics
Business analyticsBusiness analytics
Business analytics
 
Big data
Big dataBig data
Big data
 
Big Data - The 5 Vs Everyone Must Know
Big Data - The 5 Vs Everyone Must KnowBig Data - The 5 Vs Everyone Must Know
Big Data - The 5 Vs Everyone Must Know
 
Big Data: The 4 Layers Everyone Must Know
Big Data: The 4 Layers Everyone Must KnowBig Data: The 4 Layers Everyone Must Know
Big Data: The 4 Layers Everyone Must Know
 
Token
TokenToken
Token
 
Introduction of big data and analytics
Introduction of big data and analyticsIntroduction of big data and analytics
Introduction of big data and analytics
 
A Big Data Concept
A Big Data ConceptA Big Data Concept
A Big Data Concept
 
Innovation med big data – chr. hansens erfaringer
Innovation med big data – chr. hansens erfaringerInnovation med big data – chr. hansens erfaringer
Innovation med big data – chr. hansens erfaringer
 
Big data analytics 1
Big data analytics 1Big data analytics 1
Big data analytics 1
 
Forecast of Big Data Trends
Forecast of Big Data TrendsForecast of Big Data Trends
Forecast of Big Data Trends
 
Big data-ppt
Big data-pptBig data-ppt
Big data-ppt
 

Destacado

Auswirkungen des starken Franken auf Schweizer KMU
Auswirkungen des starken Franken auf Schweizer KMUAuswirkungen des starken Franken auf Schweizer KMU
Auswirkungen des starken Franken auf Schweizer KMUMicrosoft Schweiz
 
Steve Ballmer (Microsoft) En Guest Star Du
Steve Ballmer (Microsoft) En Guest Star DuSteve Ballmer (Microsoft) En Guest Star Du
Steve Ballmer (Microsoft) En Guest Star Dugerardclech
 
Moderne Technologien für Unternehmen
Moderne Technologien für UnternehmenModerne Technologien für Unternehmen
Moderne Technologien für UnternehmenMicrosoft Schweiz
 
Conférence de presse lancement microsoft partner network en france - 24 nov...
Conférence de presse   lancement microsoft partner network en france - 24 nov...Conférence de presse   lancement microsoft partner network en france - 24 nov...
Conférence de presse lancement microsoft partner network en france - 24 nov...gerardclech
 
[Scrum Day 2011] Outillage Agile dans un environnement Microsoft
[Scrum Day 2011] Outillage Agile dans un environnement Microsoft[Scrum Day 2011] Outillage Agile dans un environnement Microsoft
[Scrum Day 2011] Outillage Agile dans un environnement MicrosoftChristophe HERAL
 
Digital Mega Trends & Security Impact
Digital Mega Trends & Security ImpactDigital Mega Trends & Security Impact
Digital Mega Trends & Security ImpactMicrosoft Schweiz
 
وحدات التخزين ثامر
وحدات التخزين ثامروحدات التخزين ثامر
وحدات التخزين ثامرthamr
 
Stockage dans le cloud hybride microsoft azure stor simple presentation cus...
Stockage dans le cloud hybride  microsoft azure stor simple  presentation cus...Stockage dans le cloud hybride  microsoft azure stor simple  presentation cus...
Stockage dans le cloud hybride microsoft azure stor simple presentation cus...ABC Systemes
 
Netzwerkunternehmen in Phase 5 - Das FlexWork Phasenmodell
Netzwerkunternehmen in Phase 5 - Das FlexWork PhasenmodellNetzwerkunternehmen in Phase 5 - Das FlexWork Phasenmodell
Netzwerkunternehmen in Phase 5 - Das FlexWork PhasenmodellMicrosoft Schweiz
 
TECHDAYS 2012 - Dynamics CRM en tant que plateforme de développement.
TECHDAYS 2012 - Dynamics CRM en tant que plateforme de développement.TECHDAYS 2012 - Dynamics CRM en tant que plateforme de développement.
TECHDAYS 2012 - Dynamics CRM en tant que plateforme de développement.Inetum
 
pour votre CRM: osez la data quality!
pour votre CRM: osez la data quality!pour votre CRM: osez la data quality!
pour votre CRM: osez la data quality!Uniserv
 
Réussir sa création/refonte de site ADN et CDT 64
Réussir sa création/refonte de site ADN et CDT 64Réussir sa création/refonte de site ADN et CDT 64
Réussir sa création/refonte de site ADN et CDT 64Emilie64
 
Microsoft Dynamics CRM 2011 - Guide Utilisateur
Microsoft Dynamics CRM 2011 - Guide UtilisateurMicrosoft Dynamics CRM 2011 - Guide Utilisateur
Microsoft Dynamics CRM 2011 - Guide UtilisateurPhilippe LEAL
 
Presentation Belle De Mai
Presentation Belle De MaiPresentation Belle De Mai
Presentation Belle De MaiPierre Casanova
 
Conception et réalisation d’un crm
Conception et réalisation d’un crmConception et réalisation d’un crm
Conception et réalisation d’un crmBedis Larbi
 
L art gothique[1]
L art gothique[1]L art gothique[1]
L art gothique[1]ireari
 

Destacado (20)

Auswirkungen des starken Franken auf Schweizer KMU
Auswirkungen des starken Franken auf Schweizer KMUAuswirkungen des starken Franken auf Schweizer KMU
Auswirkungen des starken Franken auf Schweizer KMU
 
Steve Ballmer (Microsoft) En Guest Star Du
Steve Ballmer (Microsoft) En Guest Star DuSteve Ballmer (Microsoft) En Guest Star Du
Steve Ballmer (Microsoft) En Guest Star Du
 
Moderne Technologien für Unternehmen
Moderne Technologien für UnternehmenModerne Technologien für Unternehmen
Moderne Technologien für Unternehmen
 
Conférence de presse lancement microsoft partner network en france - 24 nov...
Conférence de presse   lancement microsoft partner network en france - 24 nov...Conférence de presse   lancement microsoft partner network en france - 24 nov...
Conférence de presse lancement microsoft partner network en france - 24 nov...
 
Dossier partenaires
Dossier partenairesDossier partenaires
Dossier partenaires
 
[Scrum Day 2011] Outillage Agile dans un environnement Microsoft
[Scrum Day 2011] Outillage Agile dans un environnement Microsoft[Scrum Day 2011] Outillage Agile dans un environnement Microsoft
[Scrum Day 2011] Outillage Agile dans un environnement Microsoft
 
Digital Mega Trends & Security Impact
Digital Mega Trends & Security ImpactDigital Mega Trends & Security Impact
Digital Mega Trends & Security Impact
 
وحدات التخزين ثامر
وحدات التخزين ثامروحدات التخزين ثامر
وحدات التخزين ثامر
 
Stockage dans le cloud hybride microsoft azure stor simple presentation cus...
Stockage dans le cloud hybride  microsoft azure stor simple  presentation cus...Stockage dans le cloud hybride  microsoft azure stor simple  presentation cus...
Stockage dans le cloud hybride microsoft azure stor simple presentation cus...
 
Netzwerkunternehmen in Phase 5 - Das FlexWork Phasenmodell
Netzwerkunternehmen in Phase 5 - Das FlexWork PhasenmodellNetzwerkunternehmen in Phase 5 - Das FlexWork Phasenmodell
Netzwerkunternehmen in Phase 5 - Das FlexWork Phasenmodell
 
Mon CV en ligne
Mon CV en ligneMon CV en ligne
Mon CV en ligne
 
TECHDAYS 2012 - Dynamics CRM en tant que plateforme de développement.
TECHDAYS 2012 - Dynamics CRM en tant que plateforme de développement.TECHDAYS 2012 - Dynamics CRM en tant que plateforme de développement.
TECHDAYS 2012 - Dynamics CRM en tant que plateforme de développement.
 
pour votre CRM: osez la data quality!
pour votre CRM: osez la data quality!pour votre CRM: osez la data quality!
pour votre CRM: osez la data quality!
 
Rivera
RiveraRivera
Rivera
 
Réussir sa création/refonte de site ADN et CDT 64
Réussir sa création/refonte de site ADN et CDT 64Réussir sa création/refonte de site ADN et CDT 64
Réussir sa création/refonte de site ADN et CDT 64
 
Microsoft Dynamics CRM 2011 - Guide Utilisateur
Microsoft Dynamics CRM 2011 - Guide UtilisateurMicrosoft Dynamics CRM 2011 - Guide Utilisateur
Microsoft Dynamics CRM 2011 - Guide Utilisateur
 
Presentation Belle De Mai
Presentation Belle De MaiPresentation Belle De Mai
Presentation Belle De Mai
 
Seminaire Google Apps 02 2010
Seminaire Google Apps 02 2010Seminaire Google Apps 02 2010
Seminaire Google Apps 02 2010
 
Conception et réalisation d’un crm
Conception et réalisation d’un crmConception et réalisation d’un crm
Conception et réalisation d’un crm
 
L art gothique[1]
L art gothique[1]L art gothique[1]
L art gothique[1]
 

Similar a Microsoft Data Platform and a new world of data

Big Data Analytics Research Report
Big Data Analytics Research ReportBig Data Analytics Research Report
Big Data Analytics Research ReportIla Group
 
Big Data Driven Solutions to Combat Covid' 19
Big Data Driven Solutions to Combat Covid' 19Big Data Driven Solutions to Combat Covid' 19
Big Data Driven Solutions to Combat Covid' 19Prof.Balakrishnan S
 
Big data analytics, research report
Big data analytics, research reportBig data analytics, research report
Big data analytics, research reportJULIO GONZALEZ SANZ
 
QuickView #3 - Big Data
QuickView #3 - Big DataQuickView #3 - Big Data
QuickView #3 - Big DataSonovate
 
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate Oomph! Recruitment
 
Move It Don't Lose It: Is Your Big Data Collecting Dust?
Move It Don't Lose It: Is Your Big Data Collecting Dust?Move It Don't Lose It: Is Your Big Data Collecting Dust?
Move It Don't Lose It: Is Your Big Data Collecting Dust?Jennifer Walker
 
What's the Big Deal About Big Data?
What's the Big Deal About Big Data?What's the Big Deal About Big Data?
What's the Big Deal About Big Data?Logi Analytics
 
Snowball Group Whitepaper - Spotlight on Big Data
Snowball Group Whitepaper - Spotlight on Big DataSnowball Group Whitepaper - Spotlight on Big Data
Snowball Group Whitepaper - Spotlight on Big DataSnowball Group
 
Getting down to business on Big Data analytics
Getting down to business on Big Data analyticsGetting down to business on Big Data analytics
Getting down to business on Big Data analyticsThe Marketing Distillery
 
Big data lecture notes
Big data lecture notesBig data lecture notes
Big data lecture notesMohit Saini
 
Ab cs of big data
Ab cs of big dataAb cs of big data
Ab cs of big dataDigimark
 
Advanced Analytics and Machine Learning with Data Virtualization
Advanced Analytics and Machine Learning with Data VirtualizationAdvanced Analytics and Machine Learning with Data Virtualization
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
 
Analytics big data ibm
Analytics big data ibmAnalytics big data ibm
Analytics big data ibmAccenture
 
IBM-Infoworld Big Data deep dive
IBM-Infoworld Big Data deep diveIBM-Infoworld Big Data deep dive
IBM-Infoworld Big Data deep diveKun Le
 
Bda assignment can also be used for BDA notes and concept understanding.
Bda assignment can also be used for BDA notes and concept understanding.Bda assignment can also be used for BDA notes and concept understanding.
Bda assignment can also be used for BDA notes and concept understanding.Aditya205306
 
Getting down to business on Big Data analytics
Getting down to business on Big Data analyticsGetting down to business on Big Data analytics
Getting down to business on Big Data analyticsThe Marketing Distillery
 

Similar a Microsoft Data Platform and a new world of data (20)

Big Data Analytics Research Report
Big Data Analytics Research ReportBig Data Analytics Research Report
Big Data Analytics Research Report
 
Big Data Driven Solutions to Combat Covid' 19
Big Data Driven Solutions to Combat Covid' 19Big Data Driven Solutions to Combat Covid' 19
Big Data Driven Solutions to Combat Covid' 19
 
Big data analytics, research report
Big data analytics, research reportBig data analytics, research report
Big data analytics, research report
 
QuickView #3 - Big Data
QuickView #3 - Big DataQuickView #3 - Big Data
QuickView #3 - Big Data
 
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
 
Big Data analytics usage
Big Data analytics usageBig Data analytics usage
Big Data analytics usage
 
Move It Don't Lose It: Is Your Big Data Collecting Dust?
Move It Don't Lose It: Is Your Big Data Collecting Dust?Move It Don't Lose It: Is Your Big Data Collecting Dust?
Move It Don't Lose It: Is Your Big Data Collecting Dust?
 
Big data analytics
Big data analyticsBig data analytics
Big data analytics
 
What's the Big Deal About Big Data?
What's the Big Deal About Big Data?What's the Big Deal About Big Data?
What's the Big Deal About Big Data?
 
Snowball Group Whitepaper - Spotlight on Big Data
Snowball Group Whitepaper - Spotlight on Big DataSnowball Group Whitepaper - Spotlight on Big Data
Snowball Group Whitepaper - Spotlight on Big Data
 
The ABCs of Big Data
The ABCs of Big DataThe ABCs of Big Data
The ABCs of Big Data
 
Getting down to business on Big Data analytics
Getting down to business on Big Data analyticsGetting down to business on Big Data analytics
Getting down to business on Big Data analytics
 
Big data lecture notes
Big data lecture notesBig data lecture notes
Big data lecture notes
 
Ab cs of big data
Ab cs of big dataAb cs of big data
Ab cs of big data
 
Advanced Analytics and Machine Learning with Data Virtualization
Advanced Analytics and Machine Learning with Data VirtualizationAdvanced Analytics and Machine Learning with Data Virtualization
Advanced Analytics and Machine Learning with Data Virtualization
 
Analytics big data ibm
Analytics big data ibmAnalytics big data ibm
Analytics big data ibm
 
IBM-Infoworld Big Data deep dive
IBM-Infoworld Big Data deep diveIBM-Infoworld Big Data deep dive
IBM-Infoworld Big Data deep dive
 
Bda assignment can also be used for BDA notes and concept understanding.
Bda assignment can also be used for BDA notes and concept understanding.Bda assignment can also be used for BDA notes and concept understanding.
Bda assignment can also be used for BDA notes and concept understanding.
 
Unlocking big data
Unlocking big dataUnlocking big data
Unlocking big data
 
Getting down to business on Big Data analytics
Getting down to business on Big Data analyticsGetting down to business on Big Data analytics
Getting down to business on Big Data analytics
 

Más de Microsoft Schweiz

Microsoft Connection Days 2014/2015 keynote
Microsoft Connection Days 2014/2015 keynoteMicrosoft Connection Days 2014/2015 keynote
Microsoft Connection Days 2014/2015 keynoteMicrosoft Schweiz
 
Case Study: Modernisierung der IT Infrastruktur bei Transa
Case Study: Modernisierung der IT Infrastruktur bei TransaCase Study: Modernisierung der IT Infrastruktur bei Transa
Case Study: Modernisierung der IT Infrastruktur bei TransaMicrosoft Schweiz
 
Mehr als nur ein Smartphone: Mobile Business
Mehr als nur ein Smartphone: Mobile BusinessMehr als nur ein Smartphone: Mobile Business
Mehr als nur ein Smartphone: Mobile BusinessMicrosoft Schweiz
 
Der Weg in eine moderne Arbeitswelt mit dem FlexWork Phasenmodell
Der Weg in eine moderne Arbeitswelt mit dem FlexWork PhasenmodellDer Weg in eine moderne Arbeitswelt mit dem FlexWork Phasenmodell
Der Weg in eine moderne Arbeitswelt mit dem FlexWork PhasenmodellMicrosoft Schweiz
 
Flexible Arbeit weitgehend etabliert in Phase 4 - Das FlexWork Phasenmodell
Flexible Arbeit weitgehend etabliert in Phase 4 - Das FlexWork PhasenmodellFlexible Arbeit weitgehend etabliert in Phase 4 - Das FlexWork Phasenmodell
Flexible Arbeit weitgehend etabliert in Phase 4 - Das FlexWork PhasenmodellMicrosoft Schweiz
 
Ein Umbruch in Phase 3 - Das FlexWork Phasenmodell
Ein Umbruch in Phase 3 - Das FlexWork PhasenmodellEin Umbruch in Phase 3 - Das FlexWork Phasenmodell
Ein Umbruch in Phase 3 - Das FlexWork PhasenmodellMicrosoft Schweiz
 
Flexible mobile Arbeit als Ausnahme in Phase 2 - Das Flexwork Phasenmodell
Flexible mobile Arbeit als Ausnahme in Phase 2 - Das Flexwork PhasenmodellFlexible mobile Arbeit als Ausnahme in Phase 2 - Das Flexwork Phasenmodell
Flexible mobile Arbeit als Ausnahme in Phase 2 - Das Flexwork PhasenmodellMicrosoft Schweiz
 
Ortsgebundene Arbeit in Phase 1 - FlexWork Phasenmodell
Ortsgebundene Arbeit in Phase 1 - FlexWork PhasenmodellOrtsgebundene Arbeit in Phase 1 - FlexWork Phasenmodell
Ortsgebundene Arbeit in Phase 1 - FlexWork PhasenmodellMicrosoft Schweiz
 
A world after cloud computing by Gunter Dueck
A world after cloud computing by Gunter DueckA world after cloud computing by Gunter Dueck
A world after cloud computing by Gunter DueckMicrosoft Schweiz
 
A story about marketing power users
A story about marketing power usersA story about marketing power users
A story about marketing power usersMicrosoft Schweiz
 
Was passiert vor und nach dem Like? Social Media Tipps
Was passiert vor und nach dem Like? Social Media TippsWas passiert vor und nach dem Like? Social Media Tipps
Was passiert vor und nach dem Like? Social Media TippsMicrosoft Schweiz
 
Cloud + Apps = Marketing Success
Cloud + Apps = Marketing SuccessCloud + Apps = Marketing Success
Cloud + Apps = Marketing SuccessMicrosoft Schweiz
 
Explore the Age of the Customer
Explore the Age of the CustomerExplore the Age of the Customer
Explore the Age of the CustomerMicrosoft Schweiz
 
Start with your social strategy
Start with your social strategyStart with your social strategy
Start with your social strategyMicrosoft Schweiz
 
How to make money with the Windows Store
How to make money with the Windows StoreHow to make money with the Windows Store
How to make money with the Windows StoreMicrosoft Schweiz
 
Building an end-to-end xaml app
Building an end-to-end xaml appBuilding an end-to-end xaml app
Building an end-to-end xaml appMicrosoft Schweiz
 

Más de Microsoft Schweiz (20)

The Internet of Things
The Internet of ThingsThe Internet of Things
The Internet of Things
 
Innovation for Businesses
Innovation for BusinessesInnovation for Businesses
Innovation for Businesses
 
Microsoft Connection Days 2014/2015 keynote
Microsoft Connection Days 2014/2015 keynoteMicrosoft Connection Days 2014/2015 keynote
Microsoft Connection Days 2014/2015 keynote
 
Case Study: Modernisierung der IT Infrastruktur bei Transa
Case Study: Modernisierung der IT Infrastruktur bei TransaCase Study: Modernisierung der IT Infrastruktur bei Transa
Case Study: Modernisierung der IT Infrastruktur bei Transa
 
Mehr als nur ein Smartphone: Mobile Business
Mehr als nur ein Smartphone: Mobile BusinessMehr als nur ein Smartphone: Mobile Business
Mehr als nur ein Smartphone: Mobile Business
 
Der Weg in eine moderne Arbeitswelt mit dem FlexWork Phasenmodell
Der Weg in eine moderne Arbeitswelt mit dem FlexWork PhasenmodellDer Weg in eine moderne Arbeitswelt mit dem FlexWork Phasenmodell
Der Weg in eine moderne Arbeitswelt mit dem FlexWork Phasenmodell
 
Flexible Arbeit weitgehend etabliert in Phase 4 - Das FlexWork Phasenmodell
Flexible Arbeit weitgehend etabliert in Phase 4 - Das FlexWork PhasenmodellFlexible Arbeit weitgehend etabliert in Phase 4 - Das FlexWork Phasenmodell
Flexible Arbeit weitgehend etabliert in Phase 4 - Das FlexWork Phasenmodell
 
Ein Umbruch in Phase 3 - Das FlexWork Phasenmodell
Ein Umbruch in Phase 3 - Das FlexWork PhasenmodellEin Umbruch in Phase 3 - Das FlexWork Phasenmodell
Ein Umbruch in Phase 3 - Das FlexWork Phasenmodell
 
Flexible mobile Arbeit als Ausnahme in Phase 2 - Das Flexwork Phasenmodell
Flexible mobile Arbeit als Ausnahme in Phase 2 - Das Flexwork PhasenmodellFlexible mobile Arbeit als Ausnahme in Phase 2 - Das Flexwork Phasenmodell
Flexible mobile Arbeit als Ausnahme in Phase 2 - Das Flexwork Phasenmodell
 
Ortsgebundene Arbeit in Phase 1 - FlexWork Phasenmodell
Ortsgebundene Arbeit in Phase 1 - FlexWork PhasenmodellOrtsgebundene Arbeit in Phase 1 - FlexWork Phasenmodell
Ortsgebundene Arbeit in Phase 1 - FlexWork Phasenmodell
 
A world after cloud computing by Gunter Dueck
A world after cloud computing by Gunter DueckA world after cloud computing by Gunter Dueck
A world after cloud computing by Gunter Dueck
 
A story about marketing power users
A story about marketing power usersA story about marketing power users
A story about marketing power users
 
Was passiert vor und nach dem Like? Social Media Tipps
Was passiert vor und nach dem Like? Social Media TippsWas passiert vor und nach dem Like? Social Media Tipps
Was passiert vor und nach dem Like? Social Media Tipps
 
Cloud + Apps = Marketing Success
Cloud + Apps = Marketing SuccessCloud + Apps = Marketing Success
Cloud + Apps = Marketing Success
 
Explore the Age of the Customer
Explore the Age of the CustomerExplore the Age of the Customer
Explore the Age of the Customer
 
Start with your social strategy
Start with your social strategyStart with your social strategy
Start with your social strategy
 
The Responsive Organization
The Responsive OrganizationThe Responsive Organization
The Responsive Organization
 
Bing Maps for app developer
Bing Maps for app developerBing Maps for app developer
Bing Maps for app developer
 
How to make money with the Windows Store
How to make money with the Windows StoreHow to make money with the Windows Store
How to make money with the Windows Store
 
Building an end-to-end xaml app
Building an end-to-end xaml appBuilding an end-to-end xaml app
Building an end-to-end xaml app
 

Último

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...apidays
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 

Último (20)

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 

Microsoft Data Platform and a new world of data

  • 1. MICROSOFT DATA PLATFORM: REDUCE TIME TO BUSINESS IMPACT
  • 2. 2 The World of Data is Changing
  • 3.
  • 4. 4 Big Data represents the trends, technologies, and potential for businesses to obtain valuable insight from large (petabytes, or even zetabytes), of structured, unstructured, and fast- moving data.
  • 5. 5 “[T]here are there are things we know we know. We also know there are ; that is to say we know there are some things we do not know. But there are also – there are things we do not know we don't know.” known knowns known unknowns unknown unknowns
  • 6. 6 known knowns known unknowns unknown unknowns | Dashboards | Data Exploration | Predictive Analytics “Let the your dataset change your mindset”
  • 7. 7 Trends To gain competitive advantage and innovate, enterprises must become more and more data-driven Yet large bodies of structured and unstructured data make it difficult to quickly generate insights More businesses start realizing significant opportunities to use advanced analytics to create predictive and prescriptive models
  • 8. How do I optimize my fleet based on weather and traffic patterns? What’s the social sentiment for my brand or products How do I better predict future outcomes?
  • 9. Increases ad revenue by processing 3.5 billion events per day Massive Volumes Processes 464 billion rows per quarter, with average query time under 10 secs. Measures and ranks online user influence by processing 3 billion signals per day Cloud Connectivity Connects across 15 social networks via the cloud for data and API access Uses sentiment analysis and web analytics for its internal cloud Real-Time Insight Improves operational decision making for IT managers and users
  • 10. 10
  • 11. GAIN COMPETITIVE ADVANTAGE BY MOVING FIRST AND FAST IN YOUR INDUSTRY Web app optimization Smart meter monitoring Equipment monitoring Advertising analysis Life sciences research Fraud detection Healthcare outcomes Weather forecasting Natural resource exploration Social network analysis Churn analysis Traffic flow optimization IT infrastructure optimization Legal discovery
  • 13. in-memory accelerating business process & insight modern & optimized built into data platform complete
  • 14. PowerPivot xVelocity Analytics Engine xVelocity Columnstore StreamInsight Windows Azure Cache Project code name “Hekaton”
  • 15. manage any data, any size, anywhere
  • 16. MANAGE ANY DATA, ANY SIZE, ANYWHERE 010101010101010101 1010101010101010 01010101010101 101010101010
  • 17. Extremely large volume of unstructured web logs Ad hoc analysis of logs to prototype patterns Hadoop data cluster feeds large 24TB cube Business users analyze cube data E.g. STRUCTURED & UNSTRUCTURED DATA
  • 18.
  • 19. POLYBASE: COMBINING RELATIONAL AND NON-RELATIONAL DATA The future of query processing    
  • 20.
  • 21. ENRICH BY CONNECTING TO THE WORLDS DATA Discover Combine Refine
  • 22. DISCOVER DATA FROM TO IDENTITY DOC CONTEXT SOCIAL GRAPHS DATA EXPLORER DATA HUB
  • 23. POWER OF COMBINING THE WORLDS DATA Value
  • 24. REFINE DATA Enterprise Information Management & Full Analytic Spectrum
  • 25. E.g. VALUE OF EXTERNAL DATA
  • 26.
  • 27. INSIGHTS ON ANY DATA, ALL USERS, WHEREVER THEY ARE 010101010101010101 1010101010101010 01010101010101 101010101010
  • 28. INSIGHTS FOR ALL USERS THROUGH FAMILIAR TOOLS PB TB GB
  • 29. BIG DATA REQUIRES AN END-TO-END APPROACH Discover Combine Refine Relational Non-relational Streaming INSIGHT DATA ENRICHMENT DATA MANAGEMENT Self-Service Collaboration Corporate Apps Devices Analytical
  • 30. Parallel Data Warehouse PowerPivot Power View Microsoft HDInsight Server HDInsight Service
  • 31. 31
  • 32. ADDITIONAL RESOURCES LEARNMORE 1. Microsoft Big Data Solution: www.microsoft.com/bigdata 2. Windows Azure: www.windowsazure.com/en-us/home/scenarios/big-data 3. Microsoft BI blog: http://blogs.msdn.com/b/microsoft_business_intelligence1/ TRY NOW 1. Preview of the Windows Azure HDInsight Service: https://www.hadooponazure.com 2. Developer CTP of Microsoft HDInsight Server for Windows Server: http://www.microsoft.com/bigdata
  • 33. © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.