SlideShare a Scribd company logo
© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. 
New Generation Databases 
Reimagine your business 
Presented by: Michel de Ru, Principal Engineer 
Data Donderdag
Cases 
§ Springer 
§ BBC 
§ healthcare.gov 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 2 ALL RIGHTS RESERVED.
Springer Scientific increases profitability through e-commerce
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 4 ALL RIGHTS RESERVED.
Library buying patterns shift 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 5 ALL RIGHTS RESERVED.
SpringerLink 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 6 ALL RIGHTS RESERVED.
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 7 ALL RIGHTS RESERVED.
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 8 ALL RIGHTS RESERVED.
Strategy 
§ Enterprise Content Database 
§ Both database and search 
§ Drive revenue to e-commerce 
§ Continues development 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 9 ALL RIGHTS RESERVED.
Demo 
§ http://link.springer.com/ 
§ http://www.authormapper.com/ 
§ http://www.springerexemplar.com/ 
§ http://www.latexsearch.com/ 
§ http://citations.springer.com/ 
§ http://realtime.springer.com/ 
§ http://www.springermaterials.com/ 
§ http://www.springerprotocols.com/ 
§ Original presentation: Betting the company by Brian Bishop, VP Platform Development 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 10 ALL RIGHTS RESERVED.
The Press Association & BBC let you connect to your 
favorite team – even from thousands of miles away.
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 12 ALL RIGHTS RESERVED.
How to manage large data streams? 
§ 2010 World Cup 
§ 32 Teams, 8 Groups and 700+ Player pages 
§ 1000’s of individual pages 
§ 2012 Olympics 
§ Coverage included over 10.000 athletes 
§ 200+ teams 
§ 500 disciplines 
§ 10.000+ of individual pages 
§ 2014 
§ BBC iPlayer and second screen 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 13 ALL RIGHTS RESERVED.
Using facts 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 14 ALL RIGHTS RESERVED.
Enrichment 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 15 ALL RIGHTS RESERVED.
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 16 ALL RIGHTS RESERVED.
Some Numbers Behind the Olympics 
55 Million 
Global browsers across the games 
9.5 Million Record of global browsers in single day 
106 Million Requests for BBC Olympic video content 
9.2 Million UK browsers from Mobile Devices 
12 Million Requests for Mobile Video 
2.8 Petabytes Data delivered in the busiest day 
45 Billion Data requests over the 2 Olympics 
2,160,000,000 Daily average queries against web and mobile services 
25,000 Average transactions PER SECOND 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 17 ALL RIGHTS RESERVED.
iPlayer Video Supply Chain 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 18 ALL RIGHTS RESERVED.
iPlayer 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 19 ALL RIGHTS RESERVED.
Demo 
§ http://www.bbc.com/sport/0/olympics/2012/ 
§ http://www.bbc.com/sport/0/ 
§ http://www.bbc.co.uk/iplayer 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 20 ALL RIGHTS RESERVED.
Medicare and Medicaid (CMS) helps customers easily 
research, select and enroll in the right insurance plan... 
while ensuring that the systems are 
future-proof and can adapt to change.
CMS has a future-proof system that can easily adapt to change. 
Citizens, providers, payers can 
identify, verify and enroll in 
selected insurance plan 
UNIFIED DATA 
Load data “as is” 
Different insurance, eligibility sources from 50 states, federal agencies, 
medical providers and payers, and potentially 30-50 million citizens 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 22 ALL RIGHTS RESERVED.
Why CMS selected MarkLogic 
§ Schema agnostic design 
§ Being able to “load data as is” removes the burden from the states, providers and payors. 
§ The system is “future proofed” as you can easily add additional data sources that are currently not known 
§ Scalability 
§ Goal of 7M+ Enrollees by end of March 
§ Didn’t know how many states would use the system, 0 – 50 
§ Can handle surge of users at the end of every enrollment period 
§ Enterprise Grade 
§ Transactional system, ACID, Security, 
§ TCO 
§ Commodity hardware 
§ Quick time to value 
© COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 23 ALL RIGHTS RESERVED.
WHAT WILL YOU REIMAGINE 
© COPYRIGHT 2013 MARKLOGIC CORPORATION. SLIDE: 24 ALL RIGHTS RESERVED.

More Related Content

Similar to Michel de Ru (MarkLogic), New Generation Databases - Data Donderdag

TIAD : Automation day by Jerôme Labat
TIAD : Automation day by Jerôme LabatTIAD : Automation day by Jerôme Labat
TIAD : Automation day by Jerôme Labat
The Incredible Automation Day
 
Improving Response Times at Optum with Elastic APM
Improving Response Times at Optum with Elastic APMImproving Response Times at Optum with Elastic APM
Improving Response Times at Optum with Elastic APM
Elasticsearch
 
Internet of Everything for Marketers
Internet of Everything for MarketersInternet of Everything for Marketers
Internet of Everything for Marketers
Rashish Pandey
 
Transformational IT Management in the Application Economy
Transformational IT Management in the Application EconomyTransformational IT Management in the Application Economy
Transformational IT Management in the Application Economy
CA Technologies
 
Kloptek Publishers Forum Keynote May 2014
Kloptek Publishers Forum Keynote May 2014Kloptek Publishers Forum Keynote May 2014
Kloptek Publishers Forum Keynote May 2014
Matt Turner
 
The Next Big Service Provider Opportunity—Beyond Infrastructure: Architecting...
The Next Big Service Provider Opportunity—Beyond Infrastructure: Architecting...The Next Big Service Provider Opportunity—Beyond Infrastructure: Architecting...
The Next Big Service Provider Opportunity—Beyond Infrastructure: Architecting...
CA Technologies
 
Innovation to Commercialization Oracle and KPIT
Innovation to Commercialization Oracle and KPITInnovation to Commercialization Oracle and KPIT
Innovation to Commercialization Oracle and KPIT
RupertFallows
 
Utilities Transformation: Improving the Time to Value of Technology
Utilities Transformation: Improving the Time to Value of TechnologyUtilities Transformation: Improving the Time to Value of Technology
Utilities Transformation: Improving the Time to Value of Technology
Capgemini
 
apidays New York 2022 - Discussing the significance of API standardization, D...
apidays New York 2022 - Discussing the significance of API standardization, D...apidays New York 2022 - Discussing the significance of API standardization, D...
apidays New York 2022 - Discussing the significance of API standardization, D...
apidays
 
ML_CORP_DECK_Partners
ML_CORP_DECK_PartnersML_CORP_DECK_Partners
ML_CORP_DECK_PartnersLloyd SOLDATT
 
The internet of things
The internet of thingsThe internet of things
The internet of things
Christian Verstraete
 
Achieving New Heights for China's Broadcasting Industry
Achieving New Heights for China's Broadcasting IndustryAchieving New Heights for China's Broadcasting Industry
Achieving New Heights for China's Broadcasting Industry
Cisco Service Provider
 
Smartweek 2014 - Internet of Things (closing day 1 keynote)
Smartweek 2014 - Internet of Things (closing day 1 keynote)Smartweek 2014 - Internet of Things (closing day 1 keynote)
Smartweek 2014 - Internet of Things (closing day 1 keynote)
Rick Huijbregts
 
Introduction to healthcare and life sciences
Introduction to healthcare and life sciencesIntroduction to healthcare and life sciences
Introduction to healthcare and life sciences
Fernando Mesa
 
Monitoring and Securing Active Directory Government Webinar for the US Army
Monitoring and Securing Active Directory Government Webinar for the US ArmyMonitoring and Securing Active Directory Government Webinar for the US Army
Monitoring and Securing Active Directory Government Webinar for the US Army
SolarWinds
 
Cloud,beyond the hype, looking at the journey to Cloud
Cloud,beyond the hype, looking at the journey to CloudCloud,beyond the hype, looking at the journey to Cloud
Cloud,beyond the hype, looking at the journey to Cloud
Christian Verstraete
 
The Time is Now for Big Data Issue 1.5 - Lisbon Edition 03FEV2015
The Time is Now for Big Data Issue 1.5 - Lisbon Edition 03FEV2015The Time is Now for Big Data Issue 1.5 - Lisbon Edition 03FEV2015
The Time is Now for Big Data Issue 1.5 - Lisbon Edition 03FEV2015Luis Moreno Campos
 
2016 Oracle OpenWorld Presentation - Digital Field Service for Consumer Goods
2016 Oracle OpenWorld Presentation - Digital Field Service for Consumer Goods2016 Oracle OpenWorld Presentation - Digital Field Service for Consumer Goods
2016 Oracle OpenWorld Presentation - Digital Field Service for Consumer Goods
Gib Bassett
 
BIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in FinanceBIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in Finance
Skillspeed
 

Similar to Michel de Ru (MarkLogic), New Generation Databases - Data Donderdag (20)

TIAD : Automation day by Jerôme Labat
TIAD : Automation day by Jerôme LabatTIAD : Automation day by Jerôme Labat
TIAD : Automation day by Jerôme Labat
 
Improving Response Times at Optum with Elastic APM
Improving Response Times at Optum with Elastic APMImproving Response Times at Optum with Elastic APM
Improving Response Times at Optum with Elastic APM
 
Internet of Everything for Marketers
Internet of Everything for MarketersInternet of Everything for Marketers
Internet of Everything for Marketers
 
Transformational IT Management in the Application Economy
Transformational IT Management in the Application EconomyTransformational IT Management in the Application Economy
Transformational IT Management in the Application Economy
 
Kloptek Publishers Forum Keynote May 2014
Kloptek Publishers Forum Keynote May 2014Kloptek Publishers Forum Keynote May 2014
Kloptek Publishers Forum Keynote May 2014
 
The Next Big Service Provider Opportunity—Beyond Infrastructure: Architecting...
The Next Big Service Provider Opportunity—Beyond Infrastructure: Architecting...The Next Big Service Provider Opportunity—Beyond Infrastructure: Architecting...
The Next Big Service Provider Opportunity—Beyond Infrastructure: Architecting...
 
Innovation to Commercialization Oracle and KPIT
Innovation to Commercialization Oracle and KPITInnovation to Commercialization Oracle and KPIT
Innovation to Commercialization Oracle and KPIT
 
Utilities Transformation: Improving the Time to Value of Technology
Utilities Transformation: Improving the Time to Value of TechnologyUtilities Transformation: Improving the Time to Value of Technology
Utilities Transformation: Improving the Time to Value of Technology
 
apidays New York 2022 - Discussing the significance of API standardization, D...
apidays New York 2022 - Discussing the significance of API standardization, D...apidays New York 2022 - Discussing the significance of API standardization, D...
apidays New York 2022 - Discussing the significance of API standardization, D...
 
ML_CORP_DECK_Partners
ML_CORP_DECK_PartnersML_CORP_DECK_Partners
ML_CORP_DECK_Partners
 
The internet of things
The internet of thingsThe internet of things
The internet of things
 
2012UPSannual
2012UPSannual2012UPSannual
2012UPSannual
 
Achieving New Heights for China's Broadcasting Industry
Achieving New Heights for China's Broadcasting IndustryAchieving New Heights for China's Broadcasting Industry
Achieving New Heights for China's Broadcasting Industry
 
Smartweek 2014 - Internet of Things (closing day 1 keynote)
Smartweek 2014 - Internet of Things (closing day 1 keynote)Smartweek 2014 - Internet of Things (closing day 1 keynote)
Smartweek 2014 - Internet of Things (closing day 1 keynote)
 
Introduction to healthcare and life sciences
Introduction to healthcare and life sciencesIntroduction to healthcare and life sciences
Introduction to healthcare and life sciences
 
Monitoring and Securing Active Directory Government Webinar for the US Army
Monitoring and Securing Active Directory Government Webinar for the US ArmyMonitoring and Securing Active Directory Government Webinar for the US Army
Monitoring and Securing Active Directory Government Webinar for the US Army
 
Cloud,beyond the hype, looking at the journey to Cloud
Cloud,beyond the hype, looking at the journey to CloudCloud,beyond the hype, looking at the journey to Cloud
Cloud,beyond the hype, looking at the journey to Cloud
 
The Time is Now for Big Data Issue 1.5 - Lisbon Edition 03FEV2015
The Time is Now for Big Data Issue 1.5 - Lisbon Edition 03FEV2015The Time is Now for Big Data Issue 1.5 - Lisbon Edition 03FEV2015
The Time is Now for Big Data Issue 1.5 - Lisbon Edition 03FEV2015
 
2016 Oracle OpenWorld Presentation - Digital Field Service for Consumer Goods
2016 Oracle OpenWorld Presentation - Digital Field Service for Consumer Goods2016 Oracle OpenWorld Presentation - Digital Field Service for Consumer Goods
2016 Oracle OpenWorld Presentation - Digital Field Service for Consumer Goods
 
BIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in FinanceBIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in Finance
 

More from Cre-Aid

Smart thermometer-niek
Smart thermometer-niekSmart thermometer-niek
Smart thermometer-niek
Cre-Aid
 
Senso run data donderdag 191115 v1
Senso run data donderdag 191115 v1Senso run data donderdag 191115 v1
Senso run data donderdag 191115 v1
Cre-Aid
 
Startup pitch-what ifolution
Startup pitch-what ifolutionStartup pitch-what ifolution
Startup pitch-what ifolution
Cre-Aid
 
Piek vossen-data-donderdag
Piek vossen-data-donderdagPiek vossen-data-donderdag
Piek vossen-data-donderdag
Cre-Aid
 
Leeruniek
Leeruniek Leeruniek
Leeruniek
Cre-Aid
 
Predictive policing
Predictive policingPredictive policing
Predictive policing
Cre-Aid
 
150423 data donderdag presentatie
150423 data donderdag presentatie 150423 data donderdag presentatie
150423 data donderdag presentatie
Cre-Aid
 
BEYOND ballet why and how
BEYOND ballet why and howBEYOND ballet why and how
BEYOND ballet why and how
Cre-Aid
 
Kick off 6e editie data donderdag
Kick off 6e editie data donderdagKick off 6e editie data donderdag
Kick off 6e editie data donderdag
Cre-Aid
 
Slides data donderdag #6
Slides data donderdag #6Slides data donderdag #6
Slides data donderdag #6
Cre-Aid
 
Presentatie datadonderdag nationale denktank
Presentatie datadonderdag nationale denktankPresentatie datadonderdag nationale denktank
Presentatie datadonderdag nationale denktank
Cre-Aid
 
Data donderdag data quality sas
Data donderdag data quality sasData donderdag data quality sas
Data donderdag data quality sas
Cre-Aid
 
Pieter Winsemius - Rafael Dialoog 29 januari 2015
Pieter Winsemius - Rafael Dialoog 29 januari 2015Pieter Winsemius - Rafael Dialoog 29 januari 2015
Pieter Winsemius - Rafael Dialoog 29 januari 2015
Cre-Aid
 
Presentaie brabantse agrofood 15 01-29
Presentaie brabantse agrofood 15 01-29Presentaie brabantse agrofood 15 01-29
Presentaie brabantse agrofood 15 01-29Cre-Aid
 
Fred van Eenennaam - Rafael Dialoog 28 januari 2015
Fred van Eenennaam - Rafael Dialoog 28 januari 2015Fred van Eenennaam - Rafael Dialoog 28 januari 2015
Fred van Eenennaam - Rafael Dialoog 28 januari 2015
Cre-Aid
 
Martin Scholten - Rafael Dialoog 28 januari 2015
Martin Scholten - Rafael Dialoog 28 januari 2015Martin Scholten - Rafael Dialoog 28 januari 2015
Martin Scholten - Rafael Dialoog 28 januari 2015
Cre-Aid
 
Data donderdag 30 oktober 2014 - DIME
Data donderdag 30 oktober 2014 - DIMEData donderdag 30 oktober 2014 - DIME
Data donderdag 30 oktober 2014 - DIME
Cre-Aid
 
Data donderdag 30 oktober 2014 - Rob Dielemans
Data donderdag 30 oktober 2014 - Rob DielemansData donderdag 30 oktober 2014 - Rob Dielemans
Data donderdag 30 oktober 2014 - Rob Dielemans
Cre-Aid
 
Big Data Schiphol Group Meetup 30 10 2014
Big Data Schiphol Group Meetup 30 10 2014Big Data Schiphol Group Meetup 30 10 2014
Big Data Schiphol Group Meetup 30 10 2014
Cre-Aid
 
Pim Stouten (LexisNexis BIS), Big Data Business as usual? - Data Donderdag
Pim Stouten (LexisNexis BIS), Big Data Business as usual? - Data DonderdagPim Stouten (LexisNexis BIS), Big Data Business as usual? - Data Donderdag
Pim Stouten (LexisNexis BIS), Big Data Business as usual? - Data Donderdag
Cre-Aid
 

More from Cre-Aid (20)

Smart thermometer-niek
Smart thermometer-niekSmart thermometer-niek
Smart thermometer-niek
 
Senso run data donderdag 191115 v1
Senso run data donderdag 191115 v1Senso run data donderdag 191115 v1
Senso run data donderdag 191115 v1
 
Startup pitch-what ifolution
Startup pitch-what ifolutionStartup pitch-what ifolution
Startup pitch-what ifolution
 
Piek vossen-data-donderdag
Piek vossen-data-donderdagPiek vossen-data-donderdag
Piek vossen-data-donderdag
 
Leeruniek
Leeruniek Leeruniek
Leeruniek
 
Predictive policing
Predictive policingPredictive policing
Predictive policing
 
150423 data donderdag presentatie
150423 data donderdag presentatie 150423 data donderdag presentatie
150423 data donderdag presentatie
 
BEYOND ballet why and how
BEYOND ballet why and howBEYOND ballet why and how
BEYOND ballet why and how
 
Kick off 6e editie data donderdag
Kick off 6e editie data donderdagKick off 6e editie data donderdag
Kick off 6e editie data donderdag
 
Slides data donderdag #6
Slides data donderdag #6Slides data donderdag #6
Slides data donderdag #6
 
Presentatie datadonderdag nationale denktank
Presentatie datadonderdag nationale denktankPresentatie datadonderdag nationale denktank
Presentatie datadonderdag nationale denktank
 
Data donderdag data quality sas
Data donderdag data quality sasData donderdag data quality sas
Data donderdag data quality sas
 
Pieter Winsemius - Rafael Dialoog 29 januari 2015
Pieter Winsemius - Rafael Dialoog 29 januari 2015Pieter Winsemius - Rafael Dialoog 29 januari 2015
Pieter Winsemius - Rafael Dialoog 29 januari 2015
 
Presentaie brabantse agrofood 15 01-29
Presentaie brabantse agrofood 15 01-29Presentaie brabantse agrofood 15 01-29
Presentaie brabantse agrofood 15 01-29
 
Fred van Eenennaam - Rafael Dialoog 28 januari 2015
Fred van Eenennaam - Rafael Dialoog 28 januari 2015Fred van Eenennaam - Rafael Dialoog 28 januari 2015
Fred van Eenennaam - Rafael Dialoog 28 januari 2015
 
Martin Scholten - Rafael Dialoog 28 januari 2015
Martin Scholten - Rafael Dialoog 28 januari 2015Martin Scholten - Rafael Dialoog 28 januari 2015
Martin Scholten - Rafael Dialoog 28 januari 2015
 
Data donderdag 30 oktober 2014 - DIME
Data donderdag 30 oktober 2014 - DIMEData donderdag 30 oktober 2014 - DIME
Data donderdag 30 oktober 2014 - DIME
 
Data donderdag 30 oktober 2014 - Rob Dielemans
Data donderdag 30 oktober 2014 - Rob DielemansData donderdag 30 oktober 2014 - Rob Dielemans
Data donderdag 30 oktober 2014 - Rob Dielemans
 
Big Data Schiphol Group Meetup 30 10 2014
Big Data Schiphol Group Meetup 30 10 2014Big Data Schiphol Group Meetup 30 10 2014
Big Data Schiphol Group Meetup 30 10 2014
 
Pim Stouten (LexisNexis BIS), Big Data Business as usual? - Data Donderdag
Pim Stouten (LexisNexis BIS), Big Data Business as usual? - Data DonderdagPim Stouten (LexisNexis BIS), Big Data Business as usual? - Data Donderdag
Pim Stouten (LexisNexis BIS), Big Data Business as usual? - Data Donderdag
 

Recently uploaded

一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
ewymefz
 
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
Ch03-Managing the Object-Oriented Information Systems Project a.pdfCh03-Managing the Object-Oriented Information Systems Project a.pdf
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
haila53
 
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdfSample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Linda486226
 
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
ewymefz
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Boston Institute of Analytics
 
FP Growth Algorithm and its Applications
FP Growth Algorithm and its ApplicationsFP Growth Algorithm and its Applications
FP Growth Algorithm and its Applications
MaleehaSheikh2
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
John Andrews
 
SOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape ReportSOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape Report
SOCRadar
 
一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单
ewymefz
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
enxupq
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
balafet
 
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
vcaxypu
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
AbhimanyuSinha9
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
vcaxypu
 
standardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghhstandardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghh
ArpitMalhotra16
 
Opendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptxOpendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptx
Opendatabay
 
Q1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year ReboundQ1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year Rebound
Oppotus
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
ewymefz
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
axoqas
 
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
ukgaet
 

Recently uploaded (20)

一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
 
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
Ch03-Managing the Object-Oriented Information Systems Project a.pdfCh03-Managing the Object-Oriented Information Systems Project a.pdf
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
 
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdfSample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
 
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
 
FP Growth Algorithm and its Applications
FP Growth Algorithm and its ApplicationsFP Growth Algorithm and its Applications
FP Growth Algorithm and its Applications
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
 
SOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape ReportSOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape Report
 
一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
 
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
 
standardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghhstandardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghh
 
Opendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptxOpendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptx
 
Q1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year ReboundQ1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year Rebound
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
 
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
 

Michel de Ru (MarkLogic), New Generation Databases - Data Donderdag

  • 1. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. New Generation Databases Reimagine your business Presented by: Michel de Ru, Principal Engineer Data Donderdag
  • 2. Cases § Springer § BBC § healthcare.gov © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 2 ALL RIGHTS RESERVED.
  • 3. Springer Scientific increases profitability through e-commerce
  • 4. © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 4 ALL RIGHTS RESERVED.
  • 5. Library buying patterns shift © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 5 ALL RIGHTS RESERVED.
  • 6. SpringerLink © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 6 ALL RIGHTS RESERVED.
  • 7. © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 7 ALL RIGHTS RESERVED.
  • 8. © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 8 ALL RIGHTS RESERVED.
  • 9. Strategy § Enterprise Content Database § Both database and search § Drive revenue to e-commerce § Continues development © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 9 ALL RIGHTS RESERVED.
  • 10. Demo § http://link.springer.com/ § http://www.authormapper.com/ § http://www.springerexemplar.com/ § http://www.latexsearch.com/ § http://citations.springer.com/ § http://realtime.springer.com/ § http://www.springermaterials.com/ § http://www.springerprotocols.com/ § Original presentation: Betting the company by Brian Bishop, VP Platform Development © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 10 ALL RIGHTS RESERVED.
  • 11. The Press Association & BBC let you connect to your favorite team – even from thousands of miles away.
  • 12. © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 12 ALL RIGHTS RESERVED.
  • 13. How to manage large data streams? § 2010 World Cup § 32 Teams, 8 Groups and 700+ Player pages § 1000’s of individual pages § 2012 Olympics § Coverage included over 10.000 athletes § 200+ teams § 500 disciplines § 10.000+ of individual pages § 2014 § BBC iPlayer and second screen © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 13 ALL RIGHTS RESERVED.
  • 14. Using facts © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 14 ALL RIGHTS RESERVED.
  • 15. Enrichment © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 15 ALL RIGHTS RESERVED.
  • 16. © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 16 ALL RIGHTS RESERVED.
  • 17. Some Numbers Behind the Olympics 55 Million Global browsers across the games 9.5 Million Record of global browsers in single day 106 Million Requests for BBC Olympic video content 9.2 Million UK browsers from Mobile Devices 12 Million Requests for Mobile Video 2.8 Petabytes Data delivered in the busiest day 45 Billion Data requests over the 2 Olympics 2,160,000,000 Daily average queries against web and mobile services 25,000 Average transactions PER SECOND © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 17 ALL RIGHTS RESERVED.
  • 18. iPlayer Video Supply Chain © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 18 ALL RIGHTS RESERVED.
  • 19. iPlayer © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 19 ALL RIGHTS RESERVED.
  • 20. Demo § http://www.bbc.com/sport/0/olympics/2012/ § http://www.bbc.com/sport/0/ § http://www.bbc.co.uk/iplayer © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 20 ALL RIGHTS RESERVED.
  • 21. Medicare and Medicaid (CMS) helps customers easily research, select and enroll in the right insurance plan... while ensuring that the systems are future-proof and can adapt to change.
  • 22. CMS has a future-proof system that can easily adapt to change. Citizens, providers, payers can identify, verify and enroll in selected insurance plan UNIFIED DATA Load data “as is” Different insurance, eligibility sources from 50 states, federal agencies, medical providers and payers, and potentially 30-50 million citizens © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 22 ALL RIGHTS RESERVED.
  • 23. Why CMS selected MarkLogic § Schema agnostic design § Being able to “load data as is” removes the burden from the states, providers and payors. § The system is “future proofed” as you can easily add additional data sources that are currently not known § Scalability § Goal of 7M+ Enrollees by end of March § Didn’t know how many states would use the system, 0 – 50 § Can handle surge of users at the end of every enrollment period § Enterprise Grade § Transactional system, ACID, Security, § TCO § Commodity hardware § Quick time to value © COPYRIGHT 2014 MARKLOGIC CORPORATION. SLIDE: 23 ALL RIGHTS RESERVED.
  • 24. WHAT WILL YOU REIMAGINE © COPYRIGHT 2013 MARKLOGIC CORPORATION. SLIDE: 24 ALL RIGHTS RESERVED.