SlideShare uma empresa Scribd logo
1 de 6
Baixar para ler offline
Making Sense of Data




Corporate Presentation
                  February 2012




                WWW.NGDATA.COM
The big data challenge

                                   •    40% projected growth in global data
                                        generated per year
         Volume                    •    In 2020 available data will total 35 Zettabytes *




                                   •    Explosion of formats: documents - images -
  DATA                                  audio - text - video - transactional data
             Variety
  CITY                             •    Proliferation of channels: paper - electronic -
                                        internet - mobile - partner networks



                                   •    Interactions on mobile and internet are
         Velocity                       measured in milliseconds
                                   •    In order to respond to customer demand, data
                                        must be analyzed in real-time


                       * 1 Zettabyte = 1,000,000,000,000,000,000,000 bytes, or 1 billion terrabytes

                                                                          WWW.NGDATA.COM
From challenges to opportunities
         Business                        Create                   Personalize 
         Knowledge                       Insights                 Content 

                                                         d 
         Technology                      Organize                  Capture 
         Knowledge                       informa2on                data 



•    companies generate a tremendous amount of digital “exhaust data,” i.e., data that are
     created as a by-product of other activities.
•    social media sites, smartphones, and other consumer devices including PCs and laptops have
     allowed billions of individuals around the world to contribute to the amount of big data
     available
•    marketing and sales departments want a 360-degree lifetime view of the customer and need
     e-commerce, multimedia content delivery, ad targeting and other applications that occur in
     real time
•    the use of big data is becoming a key way for companies to outperform their peers. Through
     better understanding of the consumer as an individual, companies are able to create a one to
     one marketing strategy, based on personalized content and ads.



                                                                                 WWW.NGDATA.COM
Capitalizing on big data TODAY
NGDATA develops Lily, a proven big data management platform.

   •  Easy to implement and manage;
   •  Industry specific capabilities;
   •  Combines real-time processing and interactions with machine
      learning, enabling recommendations.
       Immediate impact on business performance

NGDATA is an established big data software provider with proven
technology.

   •  Delivering value to consumer driven industries;
   •  Immediate return by turning big data as a cost to a profit;
   •  Global partner community of domain partners and system
      integrators, with the goal of maximizing customer service.


                                                             WWW.NGDATA.COM
Lily – Key Characteristics
Lily turns big data technology into                     IMMEDIATE RETURN for consumer
immediate VALUE                                         driven industries
       •  real-time                                          •  Retail/wholesale
       •  generating                                         •  Publishing/entertainment
           recommendations and            track              •  Telecom
           trends
                                        interaction          •  Finance
       •  and easy to implement
           and manage



                           manage                        grow

                            data                        profiles
                                        insights



                                         generate

                                      recommendations

                                                                    WWW.NGDATA.COM
Lily – Architecture




                                                                                      retail
                                                                    finance
                              teleco
                                   m




                                                news/
                                                media
•  From batch to real                                                                            solutions
   time                      risk assessment
                                                        audience
                                                        behavior               ad targeting


•  Lily combines             churn analysis
                                                         1to1
                                                                              fraud detection
                                                    recommendations
      •  scalable storage
                                                                                                manage
      •  indexing and       Interactive
                                               dashboard        trending
                                                                                  recommend
                            processing                                               ations
         search                                                                                     deploy

                                                                                                    monitor
                              Batch            Machine           Usage               User
      •  real-time usage    processing         learning         tracking            profiles
                                                                                                    optimize


         metrics             PROCESS                    ANALYZE                    TRACK
      •  machine learning                                                                         Stream
                                                                                                 ingestion
                                                     INTEGRATE
                                                                                                   bulk
                                                                                                 operations
•  Lily makes big data      Datamod
                               el
                                               repository           API           queuing        Alternate
   technology accessible                                                                          indexes

                                                                                 search           External
   for a large audience.       storage                  indexing
                                                                                                  systems




                                 Hadoop                     HBase                  Solr



                                                                                           WWW.NGDATA.COM

Mais conteúdo relacionado

Mais procurados

2 - Making Information Pay 2011 -- MICHAELS, KENNETH (Hachette)
2 - Making Information Pay 2011 -- MICHAELS, KENNETH (Hachette)2 - Making Information Pay 2011 -- MICHAELS, KENNETH (Hachette)
2 - Making Information Pay 2011 -- MICHAELS, KENNETH (Hachette)bisg
 
Wall Street Technology
Wall Street TechnologyWall Street Technology
Wall Street TechnologyBharat Gera
 
Code Worldwide: Investing in creative technology
Code Worldwide: Investing in creative technologyCode Worldwide: Investing in creative technology
Code Worldwide: Investing in creative technologyCode Worldwide
 
CIO Dialogue November 2012 pl
CIO Dialogue November 2012 plCIO Dialogue November 2012 pl
CIO Dialogue November 2012 plTAHinsight
 
BiSL introduction ENG
BiSL introduction ENGBiSL introduction ENG
BiSL introduction ENGVosmeer
 
SmartData - Monetizing Data Assets
SmartData - Monetizing Data AssetsSmartData - Monetizing Data Assets
SmartData - Monetizing Data AssetsEd Dodds
 
Building a business intelligence architecture fit for the 21st century by Jon...
Building a business intelligence architecture fit for the 21st century by Jon...Building a business intelligence architecture fit for the 21st century by Jon...
Building a business intelligence architecture fit for the 21st century by Jon...Mark Tapley
 
Big Data Is Here - Now What?
Big Data Is Here - Now What?Big Data Is Here - Now What?
Big Data Is Here - Now What?Chris Selland
 
Ibm swg day 2012 jhb big data (white)
Ibm swg day 2012 jhb big data (white)Ibm swg day 2012 jhb big data (white)
Ibm swg day 2012 jhb big data (white)simonje
 
MENA’s Outsourcing Market Value Proposition
MENA’s Outsourcing Market Value PropositionMENA’s Outsourcing Market Value Proposition
MENA’s Outsourcing Market Value PropositionTanuChopra
 
Smart Metering, Networking and Operations Summit
Smart Metering, Networking and Operations SummitSmart Metering, Networking and Operations Summit
Smart Metering, Networking and Operations SummitNicole Waddell
 
10 Trends Transforming The Store
10 Trends Transforming The Store10 Trends Transforming The Store
10 Trends Transforming The StoreG3 Communications
 
Clouds in emerging markets
Clouds in emerging marketsClouds in emerging markets
Clouds in emerging marketsACMBangalore
 
Visual Fusion 4.5 Overview
Visual Fusion 4.5 OverviewVisual Fusion 4.5 Overview
Visual Fusion 4.5 OverviewIDV Solutions
 
How to succesfully marry content and information5
How to succesfully marry content and information5How to succesfully marry content and information5
How to succesfully marry content and information5CSIRO National AI Centre
 

Mais procurados (16)

2 - Making Information Pay 2011 -- MICHAELS, KENNETH (Hachette)
2 - Making Information Pay 2011 -- MICHAELS, KENNETH (Hachette)2 - Making Information Pay 2011 -- MICHAELS, KENNETH (Hachette)
2 - Making Information Pay 2011 -- MICHAELS, KENNETH (Hachette)
 
Wall Street Technology
Wall Street TechnologyWall Street Technology
Wall Street Technology
 
Code Worldwide: Investing in creative technology
Code Worldwide: Investing in creative technologyCode Worldwide: Investing in creative technology
Code Worldwide: Investing in creative technology
 
CIO Dialogue November 2012 pl
CIO Dialogue November 2012 plCIO Dialogue November 2012 pl
CIO Dialogue November 2012 pl
 
BiSL introduction ENG
BiSL introduction ENGBiSL introduction ENG
BiSL introduction ENG
 
SmartData - Monetizing Data Assets
SmartData - Monetizing Data AssetsSmartData - Monetizing Data Assets
SmartData - Monetizing Data Assets
 
Building a business intelligence architecture fit for the 21st century by Jon...
Building a business intelligence architecture fit for the 21st century by Jon...Building a business intelligence architecture fit for the 21st century by Jon...
Building a business intelligence architecture fit for the 21st century by Jon...
 
Big Data Is Here - Now What?
Big Data Is Here - Now What?Big Data Is Here - Now What?
Big Data Is Here - Now What?
 
Ibm swg day 2012 jhb big data (white)
Ibm swg day 2012 jhb big data (white)Ibm swg day 2012 jhb big data (white)
Ibm swg day 2012 jhb big data (white)
 
How to succeed in the cloud
How to succeed in the cloudHow to succeed in the cloud
How to succeed in the cloud
 
MENA’s Outsourcing Market Value Proposition
MENA’s Outsourcing Market Value PropositionMENA’s Outsourcing Market Value Proposition
MENA’s Outsourcing Market Value Proposition
 
Smart Metering, Networking and Operations Summit
Smart Metering, Networking and Operations SummitSmart Metering, Networking and Operations Summit
Smart Metering, Networking and Operations Summit
 
10 Trends Transforming The Store
10 Trends Transforming The Store10 Trends Transforming The Store
10 Trends Transforming The Store
 
Clouds in emerging markets
Clouds in emerging marketsClouds in emerging markets
Clouds in emerging markets
 
Visual Fusion 4.5 Overview
Visual Fusion 4.5 OverviewVisual Fusion 4.5 Overview
Visual Fusion 4.5 Overview
 
How to succesfully marry content and information5
How to succesfully marry content and information5How to succesfully marry content and information5
How to succesfully marry content and information5
 

Semelhante a Making Sense of Big Data Challenges and Opportunities

Retai link final final 2013 stanford e245
Retai link final final 2013 stanford e245Retai link final final 2013 stanford e245
Retai link final final 2013 stanford e245Stanford University
 
Kim Escherich - How Big Data Transforms Our World
Kim Escherich - How Big Data Transforms Our WorldKim Escherich - How Big Data Transforms Our World
Kim Escherich - How Big Data Transforms Our WorldBigDataViz
 
Social interaction
Social interactionSocial interaction
Social interactionhmessabhia
 
Marshall Sponder - Social Media Monitoring Analytics - Measure13
Marshall Sponder - Social Media Monitoring Analytics - Measure13Marshall Sponder - Social Media Monitoring Analytics - Measure13
Marshall Sponder - Social Media Monitoring Analytics - Measure13Our Social Times
 
Social interaction
Social interactionSocial interaction
Social interactionhmessabhia
 
Designing Learning in the Digital Age - Analysing_your_organisations_digit…
Designing Learning in the Digital Age - Analysing_your_organisations_digit…Designing Learning in the Digital Age - Analysing_your_organisations_digit…
Designing Learning in the Digital Age - Analysing_your_organisations_digit…Vanguard Visions
 
Big data and big content
Big data and big contentBig data and big content
Big data and big contentJohn Mancini
 
OSC2012: Big Data Using Open Source: Netapp Project - Technical
OSC2012: Big Data Using Open Source: Netapp Project - TechnicalOSC2012: Big Data Using Open Source: Netapp Project - Technical
OSC2012: Big Data Using Open Source: Netapp Project - TechnicalAccenture the Netherlands
 
Share point as your digital marketing platform
Share point as your digital marketing platformShare point as your digital marketing platform
Share point as your digital marketing platformINDUSA Technical Corp.
 
Communication Collaboration Mobility Presentation Stn 2 24 11
Communication Collaboration Mobility Presentation   Stn 2 24 11Communication Collaboration Mobility Presentation   Stn 2 24 11
Communication Collaboration Mobility Presentation Stn 2 24 11mcini
 
Digitale fabriek - I2 Iterias
Digitale fabriek - I2 IteriasDigitale fabriek - I2 Iterias
Digitale fabriek - I2 IteriasSirris
 
Technically Speaking: How Self-Service Analytics Fosters Collaboration
Technically Speaking: How Self-Service Analytics Fosters CollaborationTechnically Speaking: How Self-Service Analytics Fosters Collaboration
Technically Speaking: How Self-Service Analytics Fosters CollaborationInside Analysis
 
Big Data Marketing Analytics
Big Data Marketing AnalyticsBig Data Marketing Analytics
Big Data Marketing AnalyticsAkash Tyagi
 
NHS.uk Digital Innovation and Syndication Strategy
NHS.uk Digital Innovation and Syndication StrategyNHS.uk Digital Innovation and Syndication Strategy
NHS.uk Digital Innovation and Syndication StrategySymbio Agency Ltd
 
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and EquinixExpand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and EquinixAmazon Web Services
 
Big Data and Implications on Platform Architecture
Big Data and Implications on Platform ArchitectureBig Data and Implications on Platform Architecture
Big Data and Implications on Platform ArchitectureOdinot Stanislas
 
How can social technologies be used to drive processes and innovation?
How can social technologies be used to drive processes and innovation?How can social technologies be used to drive processes and innovation?
How can social technologies be used to drive processes and innovation?John Mancini
 
Manage Engine - Real-time it for the new speed of business
Manage Engine - Real-time it for the new speed of businessManage Engine - Real-time it for the new speed of business
Manage Engine - Real-time it for the new speed of businessGlobal Business Events
 
Scaling MySQL: Catch 22 of Read Write Splitting
Scaling MySQL: Catch 22 of Read Write SplittingScaling MySQL: Catch 22 of Read Write Splitting
Scaling MySQL: Catch 22 of Read Write SplittingScaleBase
 
SID LEE | Fanzine Interactive EN
SID LEE | Fanzine Interactive ENSID LEE | Fanzine Interactive EN
SID LEE | Fanzine Interactive ENSid Lee
 

Semelhante a Making Sense of Big Data Challenges and Opportunities (20)

Retai link final final 2013 stanford e245
Retai link final final 2013 stanford e245Retai link final final 2013 stanford e245
Retai link final final 2013 stanford e245
 
Kim Escherich - How Big Data Transforms Our World
Kim Escherich - How Big Data Transforms Our WorldKim Escherich - How Big Data Transforms Our World
Kim Escherich - How Big Data Transforms Our World
 
Social interaction
Social interactionSocial interaction
Social interaction
 
Marshall Sponder - Social Media Monitoring Analytics - Measure13
Marshall Sponder - Social Media Monitoring Analytics - Measure13Marshall Sponder - Social Media Monitoring Analytics - Measure13
Marshall Sponder - Social Media Monitoring Analytics - Measure13
 
Social interaction
Social interactionSocial interaction
Social interaction
 
Designing Learning in the Digital Age - Analysing_your_organisations_digit…
Designing Learning in the Digital Age - Analysing_your_organisations_digit…Designing Learning in the Digital Age - Analysing_your_organisations_digit…
Designing Learning in the Digital Age - Analysing_your_organisations_digit…
 
Big data and big content
Big data and big contentBig data and big content
Big data and big content
 
OSC2012: Big Data Using Open Source: Netapp Project - Technical
OSC2012: Big Data Using Open Source: Netapp Project - TechnicalOSC2012: Big Data Using Open Source: Netapp Project - Technical
OSC2012: Big Data Using Open Source: Netapp Project - Technical
 
Share point as your digital marketing platform
Share point as your digital marketing platformShare point as your digital marketing platform
Share point as your digital marketing platform
 
Communication Collaboration Mobility Presentation Stn 2 24 11
Communication Collaboration Mobility Presentation   Stn 2 24 11Communication Collaboration Mobility Presentation   Stn 2 24 11
Communication Collaboration Mobility Presentation Stn 2 24 11
 
Digitale fabriek - I2 Iterias
Digitale fabriek - I2 IteriasDigitale fabriek - I2 Iterias
Digitale fabriek - I2 Iterias
 
Technically Speaking: How Self-Service Analytics Fosters Collaboration
Technically Speaking: How Self-Service Analytics Fosters CollaborationTechnically Speaking: How Self-Service Analytics Fosters Collaboration
Technically Speaking: How Self-Service Analytics Fosters Collaboration
 
Big Data Marketing Analytics
Big Data Marketing AnalyticsBig Data Marketing Analytics
Big Data Marketing Analytics
 
NHS.uk Digital Innovation and Syndication Strategy
NHS.uk Digital Innovation and Syndication StrategyNHS.uk Digital Innovation and Syndication Strategy
NHS.uk Digital Innovation and Syndication Strategy
 
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and EquinixExpand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
 
Big Data and Implications on Platform Architecture
Big Data and Implications on Platform ArchitectureBig Data and Implications on Platform Architecture
Big Data and Implications on Platform Architecture
 
How can social technologies be used to drive processes and innovation?
How can social technologies be used to drive processes and innovation?How can social technologies be used to drive processes and innovation?
How can social technologies be used to drive processes and innovation?
 
Manage Engine - Real-time it for the new speed of business
Manage Engine - Real-time it for the new speed of businessManage Engine - Real-time it for the new speed of business
Manage Engine - Real-time it for the new speed of business
 
Scaling MySQL: Catch 22 of Read Write Splitting
Scaling MySQL: Catch 22 of Read Write SplittingScaling MySQL: Catch 22 of Read Write Splitting
Scaling MySQL: Catch 22 of Read Write Splitting
 
SID LEE | Fanzine Interactive EN
SID LEE | Fanzine Interactive ENSID LEE | Fanzine Interactive EN
SID LEE | Fanzine Interactive EN
 

Mais de NGDATA

Welcome to the Age of Data
Welcome to the Age of DataWelcome to the Age of Data
Welcome to the Age of DataNGDATA
 
The Lily RowLog library
The Lily RowLog libraryThe Lily RowLog library
The Lily RowLog libraryNGDATA
 
Lily @ Work Webinar
Lily @ Work WebinarLily @ Work Webinar
Lily @ Work WebinarNGDATA
 
From Content Storage to Scaling Smart Data
From Content Storage to Scaling Smart DataFrom Content Storage to Scaling Smart Data
From Content Storage to Scaling Smart DataNGDATA
 
20110514 appsforghent
20110514 appsforghent20110514 appsforghent
20110514 appsforghentNGDATA
 
Big Data
Big DataBig Data
Big DataNGDATA
 
Lily at HUG UK
Lily at HUG UKLily at HUG UK
Lily at HUG UKNGDATA
 
NoSQL intro for YaJUG / NoSQL UG Luxembourg
NoSQL intro for YaJUG / NoSQL UG LuxembourgNoSQL intro for YaJUG / NoSQL UG Luxembourg
NoSQL intro for YaJUG / NoSQL UG LuxembourgNGDATA
 
Devoxx 2010 | Tools In Action : Kauri and Lily
Devoxx 2010 | Tools In Action : Kauri and LilyDevoxx 2010 | Tools In Action : Kauri and Lily
Devoxx 2010 | Tools In Action : Kauri and LilyNGDATA
 
Devoxx 2010 | Tools In Action : Kauri and Lily
Devoxx 2010 | Tools In Action : Kauri and LilyDevoxx 2010 | Tools In Action : Kauri and Lily
Devoxx 2010 | Tools In Action : Kauri and LilyNGDATA
 
Devoxx 2010 | LAB : ReST in Java
Devoxx 2010 | LAB : ReST in JavaDevoxx 2010 | LAB : ReST in Java
Devoxx 2010 | LAB : ReST in JavaNGDATA
 
Lily for the Bay Area HBase UG - NYC edition
Lily for the Bay Area HBase UG - NYC editionLily for the Bay Area HBase UG - NYC edition
Lily for the Bay Area HBase UG - NYC editionNGDATA
 
Building a CMS on top of NoSQL (for ParisJUG)
Building a CMS on top of NoSQL (for ParisJUG)Building a CMS on top of NoSQL (for ParisJUG)
Building a CMS on top of NoSQL (for ParisJUG)NGDATA
 
Outerthought / Lily Partnerships
Outerthought / Lily PartnershipsOuterthought / Lily Partnerships
Outerthought / Lily PartnershipsNGDATA
 
NoSQL with Hadoop and HBase
NoSQL with Hadoop and HBaseNoSQL with Hadoop and HBase
NoSQL with Hadoop and HBaseNGDATA
 
Learning Lessons: Building a CMS on top of NoSQL technologies
Learning Lessons: Building a CMS on top of NoSQL technologiesLearning Lessons: Building a CMS on top of NoSQL technologies
Learning Lessons: Building a CMS on top of NoSQL technologiesNGDATA
 
KVIV / NoSQL : the new generation of database servers
KVIV / NoSQL : the new generation of database serversKVIV / NoSQL : the new generation of database servers
KVIV / NoSQL : the new generation of database serversNGDATA
 
N-O-SQL, new database technologies on the rise
N-O-SQL, new database technologies on the riseN-O-SQL, new database technologies on the rise
N-O-SQL, new database technologies on the riseNGDATA
 
NoSQL BOF at Devoxx
NoSQL BOF at DevoxxNoSQL BOF at Devoxx
NoSQL BOF at DevoxxNGDATA
 
NoSQL "Tools in Action" talk at Devoxx
NoSQL "Tools in Action" talk at DevoxxNoSQL "Tools in Action" talk at Devoxx
NoSQL "Tools in Action" talk at DevoxxNGDATA
 

Mais de NGDATA (20)

Welcome to the Age of Data
Welcome to the Age of DataWelcome to the Age of Data
Welcome to the Age of Data
 
The Lily RowLog library
The Lily RowLog libraryThe Lily RowLog library
The Lily RowLog library
 
Lily @ Work Webinar
Lily @ Work WebinarLily @ Work Webinar
Lily @ Work Webinar
 
From Content Storage to Scaling Smart Data
From Content Storage to Scaling Smart DataFrom Content Storage to Scaling Smart Data
From Content Storage to Scaling Smart Data
 
20110514 appsforghent
20110514 appsforghent20110514 appsforghent
20110514 appsforghent
 
Big Data
Big DataBig Data
Big Data
 
Lily at HUG UK
Lily at HUG UKLily at HUG UK
Lily at HUG UK
 
NoSQL intro for YaJUG / NoSQL UG Luxembourg
NoSQL intro for YaJUG / NoSQL UG LuxembourgNoSQL intro for YaJUG / NoSQL UG Luxembourg
NoSQL intro for YaJUG / NoSQL UG Luxembourg
 
Devoxx 2010 | Tools In Action : Kauri and Lily
Devoxx 2010 | Tools In Action : Kauri and LilyDevoxx 2010 | Tools In Action : Kauri and Lily
Devoxx 2010 | Tools In Action : Kauri and Lily
 
Devoxx 2010 | Tools In Action : Kauri and Lily
Devoxx 2010 | Tools In Action : Kauri and LilyDevoxx 2010 | Tools In Action : Kauri and Lily
Devoxx 2010 | Tools In Action : Kauri and Lily
 
Devoxx 2010 | LAB : ReST in Java
Devoxx 2010 | LAB : ReST in JavaDevoxx 2010 | LAB : ReST in Java
Devoxx 2010 | LAB : ReST in Java
 
Lily for the Bay Area HBase UG - NYC edition
Lily for the Bay Area HBase UG - NYC editionLily for the Bay Area HBase UG - NYC edition
Lily for the Bay Area HBase UG - NYC edition
 
Building a CMS on top of NoSQL (for ParisJUG)
Building a CMS on top of NoSQL (for ParisJUG)Building a CMS on top of NoSQL (for ParisJUG)
Building a CMS on top of NoSQL (for ParisJUG)
 
Outerthought / Lily Partnerships
Outerthought / Lily PartnershipsOuterthought / Lily Partnerships
Outerthought / Lily Partnerships
 
NoSQL with Hadoop and HBase
NoSQL with Hadoop and HBaseNoSQL with Hadoop and HBase
NoSQL with Hadoop and HBase
 
Learning Lessons: Building a CMS on top of NoSQL technologies
Learning Lessons: Building a CMS on top of NoSQL technologiesLearning Lessons: Building a CMS on top of NoSQL technologies
Learning Lessons: Building a CMS on top of NoSQL technologies
 
KVIV / NoSQL : the new generation of database servers
KVIV / NoSQL : the new generation of database serversKVIV / NoSQL : the new generation of database servers
KVIV / NoSQL : the new generation of database servers
 
N-O-SQL, new database technologies on the rise
N-O-SQL, new database technologies on the riseN-O-SQL, new database technologies on the rise
N-O-SQL, new database technologies on the rise
 
NoSQL BOF at Devoxx
NoSQL BOF at DevoxxNoSQL BOF at Devoxx
NoSQL BOF at Devoxx
 
NoSQL "Tools in Action" talk at Devoxx
NoSQL "Tools in Action" talk at DevoxxNoSQL "Tools in Action" talk at Devoxx
NoSQL "Tools in Action" talk at Devoxx
 

Último

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
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 

Último (20)

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
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 

Making Sense of Big Data Challenges and Opportunities

  • 1. Making Sense of Data Corporate Presentation February 2012 WWW.NGDATA.COM
  • 2. The big data challenge •  40% projected growth in global data generated per year Volume •  In 2020 available data will total 35 Zettabytes * •  Explosion of formats: documents - images - DATA audio - text - video - transactional data Variety CITY •  Proliferation of channels: paper - electronic - internet - mobile - partner networks •  Interactions on mobile and internet are Velocity measured in milliseconds •  In order to respond to customer demand, data must be analyzed in real-time * 1 Zettabyte = 1,000,000,000,000,000,000,000 bytes, or 1 billion terrabytes WWW.NGDATA.COM
  • 3. From challenges to opportunities Business  Create  Personalize  Knowledge  Insights  Content  d  Technology  Organize  Capture  Knowledge  informa2on  data  •  companies generate a tremendous amount of digital “exhaust data,” i.e., data that are created as a by-product of other activities. •  social media sites, smartphones, and other consumer devices including PCs and laptops have allowed billions of individuals around the world to contribute to the amount of big data available •  marketing and sales departments want a 360-degree lifetime view of the customer and need e-commerce, multimedia content delivery, ad targeting and other applications that occur in real time •  the use of big data is becoming a key way for companies to outperform their peers. Through better understanding of the consumer as an individual, companies are able to create a one to one marketing strategy, based on personalized content and ads. WWW.NGDATA.COM
  • 4. Capitalizing on big data TODAY NGDATA develops Lily, a proven big data management platform. •  Easy to implement and manage; •  Industry specific capabilities; •  Combines real-time processing and interactions with machine learning, enabling recommendations.  Immediate impact on business performance NGDATA is an established big data software provider with proven technology. •  Delivering value to consumer driven industries; •  Immediate return by turning big data as a cost to a profit; •  Global partner community of domain partners and system integrators, with the goal of maximizing customer service. WWW.NGDATA.COM
  • 5. Lily – Key Characteristics Lily turns big data technology into IMMEDIATE RETURN for consumer immediate VALUE driven industries •  real-time •  Retail/wholesale •  generating •  Publishing/entertainment recommendations and track •  Telecom trends interaction •  Finance •  and easy to implement and manage manage grow data profiles insights generate recommendations WWW.NGDATA.COM
  • 6. Lily – Architecture retail finance teleco m news/ media •  From batch to real solutions time risk assessment audience behavior ad targeting •  Lily combines churn analysis 1to1 fraud detection recommendations •  scalable storage manage •  indexing and Interactive dashboard trending recommend processing ations search deploy monitor Batch Machine Usage User •  real-time usage processing learning tracking profiles optimize metrics PROCESS ANALYZE TRACK •  machine learning Stream ingestion INTEGRATE bulk operations •  Lily makes big data Datamod el repository API queuing Alternate technology accessible indexes search External for a large audience. storage indexing systems Hadoop HBase Solr WWW.NGDATA.COM