SlideShare a Scribd company logo
1 of 71
Wednesday, June 26, 13
Hadoop in Love
@petricek
Wednesday, June 26, 13
The eHarmony Difference › Who we are
~45% Tech
Wednesday, June 26, 13
The eHarmony Difference › Who we are
~15% Customer Care
~45% Tech
Wednesday, June 26, 13
The eHarmony Difference › Who we are
~15% Customer Care
~45% Tech
~10% Marketing
Wednesday, June 26, 13
The eHarmony Difference › Compatibility Matching System®
Wednesday, June 26, 13
The eHarmony Difference › Compatibility Matching System®
Compatibility Matching
System®
Wednesday, June 26, 13
The eHarmony Difference › Compatibility Matching System®
Compatibility Matching
System®
Compatibility
Matching
1
Wednesday, June 26, 13
The eHarmony Difference › Compatibility Matching System®
Compatibility Matching
System®
Compatibility
Matching
1
Affinity
Matching
2
Wednesday, June 26, 13
The eHarmony Difference › Compatibility Matching System®
Compatibility Matching
System®
Match
Distribution
3
Compatibility
Matching
1
Affinity
Matching
2
Wednesday, June 26, 13
The eHarmony Difference
Wednesday, June 26, 13
Affinity
Matching
Match
Distribution
2 3
The eHarmony Difference › Compatibility Matching System®
Compatibility
Matching
1
Wednesday, June 26, 13
Affinity
Matching
Match
Distribution
2 3
The eHarmony Difference › Compatibility Matching System®
Compatibility
Matching
1
Wednesday, June 26, 13
Wednesday, June 26, 13
150	
  
ques)ons
Wednesday, June 26, 13
150	
  
ques)ons
Personality
Values
A5ributes
Beliefs
Wednesday, June 26, 13
Compatibility Matching › Obstreperousness
Wednesday, June 26, 13
Compatibility Matching › Romantic
Wednesday, June 26, 13
Marital satisfaction
Wednesday, June 26, 13
Marital satisfaction
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
Wednesday, June 26, 13
Compatibility Matching ›
Wednesday, June 26, 13
Compatibility Matching ›
Wednesday, June 26, 13
Match
Distribution
3
Compatibility
Matching
1
Affinity
Matching
2
The eHarmony Difference › Compatibility Matching System®
Wednesday, June 26, 13
Match
Distribution
3
Compatibility
Matching
1
Affinity
Matching
2
The eHarmony Difference › Compatibility Matching System®
Layers on Top of
Compatibility Matching
Wednesday, June 26, 13
Affinity Matching ›
Wednesday, June 26, 13
61 21
Affinity Matching ›
Wednesday, June 26, 13
61 21
3000
Affinity Matching ›
Wednesday, June 26, 13
61 21
3000
Affinity Matching ›
Wednesday, June 26, 13
Affinity Matching ›
Wednesday, June 26, 13
………
Affinity Matching ›
Wednesday, June 26, 13
Affinity Matching › Distance
Prob(	
  	
  	
  	
  	
  	
  	
  )
Wednesday, June 26, 13
Affinity Matching › Distance
Wednesday, June 26, 13
Affinity Matching › Height difference
Prob(	
  	
  	
  	
  	
  	
  	
  ) 4	
  -­‐	
  8	
  in
cm
Wednesday, June 26, 13
Affinity Matching › Zoom level
Wednesday, June 26, 13
Affinity Matching › Zoom level
Wednesday, June 26, 13
Affinity Matching › Zoom level
Wednesday, June 26, 13
life
Affinity Matching › Semi-structured Text
life
my	
  smile
my	
  smile
world
world
my me
my
me
I I
I
I
Wednesday, June 26, 13
life
Affinity Matching › Semi-structured Text
life
my	
  smile
my	
  smile
world
world
Wednesday, June 26, 13
life
Affinity Matching › Semi-structured Text
life
my	
  smile
my	
  smile
world
world
Wednesday, June 26, 13
Affinity Matching ›
~40M	
  registered	
  users
~10^7	
  matches	
  per	
  day
~10^3	
  a5ributes
...
...
Prob( | data)
?
~10^8	
  daily
Prob( | features)
Wednesday, June 26, 13
UserMatchCommunica)on
feature	
  expansion
Sparse	
  
ML	
  format
models
Affinity Matching › Model Training: Maestro
Protocol	
  Buffers
vowpal	
  wabbit,
boosted	
  trees
Wednesday, June 26, 13
750M	
  Compressed
Protocol	
  Buffers
Map-­‐side	
  joins
(~TB)
Matching	
  User	
  Serice
Pairings	
  Browser	
  
Service
1+G	
  Compressed	
  Protocol	
  Buffers	
  
Affinity Matching › Production: Conductor
Wednesday, June 26, 13
...
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
Affinity Matching › Scorer
Wednesday, June 26, 13
...
Prob( | data)
Prob( | data)
Prob( | data)
Prob( | data)
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
Affinity Matching › Scorer
Wednesday, June 26, 13
...
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
...
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
Prob( | data)
Prob( | data)
Prob( | data)
Prob( | data)
Prob( | data)
Prob( | data)
Prob( | data)
Prob( | data)
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
[User[Demographic][Photo][Ac)vity][FX]]
[Cand[Demographic][Photo]	
  [Ac)vity][FX]]
[Pairing[Distance][Flags]]
Affinity Matching › Scorer
Wednesday, June 26, 13
“same_religion”:”${user.profile.religion}=={cand.profile.religion}”
“cmp_drinking”:”cmp(${user.profile.drinking},{cand.profile.drinking})”
<
“strict_distance_u”:”${user.profile.accepted_distance}<={pairing.distance}”
60miles
Affinity Matching › Scala DSL
Wednesday, June 26, 13
Compatibility
Matching
1
Affinity
Matching
2
Match
Distribution
3
The eHarmony Difference › Compatibility Matching System®
Wednesday, June 26, 13
Compatibility
Matching
1
Affinity
Matching
2
Match
Distribution
3
The eHarmony Difference › Compatibility Matching System®
Delivering the right
matches at the right time
to as many people as
possible across the
entire network.
Wednesday, June 26, 13
Match Distribution › Graph optimization
Wednesday, June 26, 13
Match Distribution › Graph optimization
Wednesday, June 26, 13
Match Distribution › Graph optimization
2 2
Wednesday, June 26, 13
Match Distribution › Graph optimization
2 21
Wednesday, June 26, 13
Match Distribution › Graph optimization
2 21Prob( | data)
Wednesday, June 26, 13
Match Distribution › Graph optimization
2 21Prob( | data)
Wednesday, June 26, 13
Match Distribution › Graph optimization
2 2Prob( | data)
Wednesday, June 26, 13
Match Distribution › Graph optimization
2 2Prob( | data)
Wednesday, June 26, 13
Resulting Customer Experience ›
Guided
Communication
Wednesday, June 26, 13
Resulting Customer Experience ›
Guided
Communication
Wednesday, June 26, 13
? !
Resulting Customer Experience ›
Guided
Communication
Wednesday, June 26, 13
Resulting Customer Experience › Success!
Wednesday, June 26, 13
Resulting Customer Experience › Success!
Wednesday, June 26, 13
eHarmony Results › The eHarmony Impact
2005
90
eHarmony Members
Married Every Day
Wednesday, June 26, 13
eHarmony Results › The eHarmony Impact
2005 2007
236
eHarmony Members
Married Every Day
Wednesday, June 26, 13
eHarmony Results › The eHarmony Impact
2005 2007 2009
542
eHarmony Members
Married Every Day
Wednesday, June 26, 13
Proceedings of National Academy of Sciences
Wednesday, June 26, 13
Press coverage
Wednesday, June 26, 13
Since	
  2005,	
  about	
  1/3	
  of	
  couples	
  
who	
  have	
  married	
  in	
  the	
  US	
  
have	
  met	
  online	
  (35%)
eHarmony Results › The eHarmony Impact
*	
  according	
  to	
  survey	
  of	
  couples	
  married	
  between	
  2005-­‐2012	
  by	
  Harris	
  InteracAve	
  for	
  eHarmony
Wednesday, June 26, 13
Rates of breakup or divorce
0%
2.0%
4.0%
6.0%
8.0%
All Online Offline
*	
  according	
  to	
  survey	
  of	
  couples	
  married	
  between	
  2005-­‐2012	
  by	
  Harris	
  InteracAve	
  for	
  eHarmony
Wednesday, June 26, 13
The	
  largest	
  number	
  
of	
  marriages	
  surveyed	
  
who	
  met	
  via	
  online	
  da)ng	
  
had	
  met	
  on	
  eHarmony	
  (25%)
eHarmony Results › The eHarmony Impact
*	
  according	
  to	
  survey	
  of	
  couples	
  married	
  between	
  2005-­‐2012	
  by	
  Harris	
  InteracAve	
  for	
  eHarmony
Wednesday, June 26, 13
Rates of breakup or divorce
0%
2.0%
4.0%
6.0%
8.0%
eHarmony All Other Online Offline
*	
  according	
  to	
  survey	
  of	
  couples	
  married	
  between	
  2005-­‐2012	
  by	
  by	
  Harris	
  InteracAve	
  for	
  eHarmony
bit.ly/jobateharmony
Wednesday, June 26, 13
Rates of breakup or divorce
0%
2.0%
4.0%
6.0%
8.0%
eHarmony All Other Online Offline
*	
  according	
  to	
  survey	
  of	
  couples	
  married	
  between	
  2005-­‐2012	
  by	
  by	
  Harris	
  InteracAve	
  for	
  eHarmony
linkedin.com/in/petricek
bit.ly/jobateharmony
@petricek
Wednesday, June 26, 13

More Related Content

More from DataWorks Summit

HBase Tales From the Trenches - Short stories about most common HBase operati...
HBase Tales From the Trenches - Short stories about most common HBase operati...HBase Tales From the Trenches - Short stories about most common HBase operati...
HBase Tales From the Trenches - Short stories about most common HBase operati...DataWorks Summit
 
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...DataWorks Summit
 
Managing the Dewey Decimal System
Managing the Dewey Decimal SystemManaging the Dewey Decimal System
Managing the Dewey Decimal SystemDataWorks Summit
 
Practical NoSQL: Accumulo's dirlist Example
Practical NoSQL: Accumulo's dirlist ExamplePractical NoSQL: Accumulo's dirlist Example
Practical NoSQL: Accumulo's dirlist ExampleDataWorks Summit
 
HBase Global Indexing to support large-scale data ingestion at Uber
HBase Global Indexing to support large-scale data ingestion at UberHBase Global Indexing to support large-scale data ingestion at Uber
HBase Global Indexing to support large-scale data ingestion at UberDataWorks Summit
 
Scaling Cloud-Scale Translytics Workloads with Omid and Phoenix
Scaling Cloud-Scale Translytics Workloads with Omid and PhoenixScaling Cloud-Scale Translytics Workloads with Omid and Phoenix
Scaling Cloud-Scale Translytics Workloads with Omid and PhoenixDataWorks Summit
 
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFi
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFiBuilding the High Speed Cybersecurity Data Pipeline Using Apache NiFi
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFiDataWorks Summit
 
Supporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsSupporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsDataWorks Summit
 
Security Framework for Multitenant Architecture
Security Framework for Multitenant ArchitectureSecurity Framework for Multitenant Architecture
Security Framework for Multitenant ArchitectureDataWorks Summit
 
Presto: Optimizing Performance of SQL-on-Anything Engine
Presto: Optimizing Performance of SQL-on-Anything EnginePresto: Optimizing Performance of SQL-on-Anything Engine
Presto: Optimizing Performance of SQL-on-Anything EngineDataWorks Summit
 
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...DataWorks Summit
 
Extending Twitter's Data Platform to Google Cloud
Extending Twitter's Data Platform to Google CloudExtending Twitter's Data Platform to Google Cloud
Extending Twitter's Data Platform to Google CloudDataWorks Summit
 
Event-Driven Messaging and Actions using Apache Flink and Apache NiFi
Event-Driven Messaging and Actions using Apache Flink and Apache NiFiEvent-Driven Messaging and Actions using Apache Flink and Apache NiFi
Event-Driven Messaging and Actions using Apache Flink and Apache NiFiDataWorks Summit
 
Securing Data in Hybrid on-premise and Cloud Environments using Apache Ranger
Securing Data in Hybrid on-premise and Cloud Environments using Apache RangerSecuring Data in Hybrid on-premise and Cloud Environments using Apache Ranger
Securing Data in Hybrid on-premise and Cloud Environments using Apache RangerDataWorks Summit
 
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...DataWorks Summit
 
Computer Vision: Coming to a Store Near You
Computer Vision: Coming to a Store Near YouComputer Vision: Coming to a Store Near You
Computer Vision: Coming to a Store Near YouDataWorks Summit
 
Big Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
Big Data Genomics: Clustering Billions of DNA Sequences with Apache SparkBig Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
Big Data Genomics: Clustering Billions of DNA Sequences with Apache SparkDataWorks Summit
 
Transforming and Scaling Large Scale Data Analytics: Moving to a Cloud-based ...
Transforming and Scaling Large Scale Data Analytics: Moving to a Cloud-based ...Transforming and Scaling Large Scale Data Analytics: Moving to a Cloud-based ...
Transforming and Scaling Large Scale Data Analytics: Moving to a Cloud-based ...DataWorks Summit
 
Applying Noisy Knowledge Graphs to Real Problems
Applying Noisy Knowledge Graphs to Real ProblemsApplying Noisy Knowledge Graphs to Real Problems
Applying Noisy Knowledge Graphs to Real ProblemsDataWorks Summit
 
Open Source, Open Data: Driving Innovation in Smart Cities
Open Source, Open Data: Driving Innovation in Smart CitiesOpen Source, Open Data: Driving Innovation in Smart Cities
Open Source, Open Data: Driving Innovation in Smart CitiesDataWorks Summit
 

More from DataWorks Summit (20)

HBase Tales From the Trenches - Short stories about most common HBase operati...
HBase Tales From the Trenches - Short stories about most common HBase operati...HBase Tales From the Trenches - Short stories about most common HBase operati...
HBase Tales From the Trenches - Short stories about most common HBase operati...
 
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...
 
Managing the Dewey Decimal System
Managing the Dewey Decimal SystemManaging the Dewey Decimal System
Managing the Dewey Decimal System
 
Practical NoSQL: Accumulo's dirlist Example
Practical NoSQL: Accumulo's dirlist ExamplePractical NoSQL: Accumulo's dirlist Example
Practical NoSQL: Accumulo's dirlist Example
 
HBase Global Indexing to support large-scale data ingestion at Uber
HBase Global Indexing to support large-scale data ingestion at UberHBase Global Indexing to support large-scale data ingestion at Uber
HBase Global Indexing to support large-scale data ingestion at Uber
 
Scaling Cloud-Scale Translytics Workloads with Omid and Phoenix
Scaling Cloud-Scale Translytics Workloads with Omid and PhoenixScaling Cloud-Scale Translytics Workloads with Omid and Phoenix
Scaling Cloud-Scale Translytics Workloads with Omid and Phoenix
 
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFi
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFiBuilding the High Speed Cybersecurity Data Pipeline Using Apache NiFi
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFi
 
Supporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsSupporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability Improvements
 
Security Framework for Multitenant Architecture
Security Framework for Multitenant ArchitectureSecurity Framework for Multitenant Architecture
Security Framework for Multitenant Architecture
 
Presto: Optimizing Performance of SQL-on-Anything Engine
Presto: Optimizing Performance of SQL-on-Anything EnginePresto: Optimizing Performance of SQL-on-Anything Engine
Presto: Optimizing Performance of SQL-on-Anything Engine
 
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...
 
Extending Twitter's Data Platform to Google Cloud
Extending Twitter's Data Platform to Google CloudExtending Twitter's Data Platform to Google Cloud
Extending Twitter's Data Platform to Google Cloud
 
Event-Driven Messaging and Actions using Apache Flink and Apache NiFi
Event-Driven Messaging and Actions using Apache Flink and Apache NiFiEvent-Driven Messaging and Actions using Apache Flink and Apache NiFi
Event-Driven Messaging and Actions using Apache Flink and Apache NiFi
 
Securing Data in Hybrid on-premise and Cloud Environments using Apache Ranger
Securing Data in Hybrid on-premise and Cloud Environments using Apache RangerSecuring Data in Hybrid on-premise and Cloud Environments using Apache Ranger
Securing Data in Hybrid on-premise and Cloud Environments using Apache Ranger
 
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...
 
Computer Vision: Coming to a Store Near You
Computer Vision: Coming to a Store Near YouComputer Vision: Coming to a Store Near You
Computer Vision: Coming to a Store Near You
 
Big Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
Big Data Genomics: Clustering Billions of DNA Sequences with Apache SparkBig Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
Big Data Genomics: Clustering Billions of DNA Sequences with Apache Spark
 
Transforming and Scaling Large Scale Data Analytics: Moving to a Cloud-based ...
Transforming and Scaling Large Scale Data Analytics: Moving to a Cloud-based ...Transforming and Scaling Large Scale Data Analytics: Moving to a Cloud-based ...
Transforming and Scaling Large Scale Data Analytics: Moving to a Cloud-based ...
 
Applying Noisy Knowledge Graphs to Real Problems
Applying Noisy Knowledge Graphs to Real ProblemsApplying Noisy Knowledge Graphs to Real Problems
Applying Noisy Knowledge Graphs to Real Problems
 
Open Source, Open Data: Driving Innovation in Smart Cities
Open Source, Open Data: Driving Innovation in Smart CitiesOpen Source, Open Data: Driving Innovation in Smart Cities
Open Source, Open Data: Driving Innovation in Smart Cities
 

Recently uploaded

UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7DianaGray10
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdfJamie (Taka) Wang
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1DianaGray10
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
Babel Compiler - Transforming JavaScript for All Browsers.pptx
Babel Compiler - Transforming JavaScript for All Browsers.pptxBabel Compiler - Transforming JavaScript for All Browsers.pptx
Babel Compiler - Transforming JavaScript for All Browsers.pptxYounusS2
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPathCommunity
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 

Recently uploaded (20)

UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
Babel Compiler - Transforming JavaScript for All Browsers.pptx
Babel Compiler - Transforming JavaScript for All Browsers.pptxBabel Compiler - Transforming JavaScript for All Browsers.pptx
Babel Compiler - Transforming JavaScript for All Browsers.pptx
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation Developers
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 

Hadoop in Love