SlideShare ist ein Scribd-Unternehmen logo
1 von 24
Advanced usage of indexes in Oracle Coherence Alexey Ragozin [email_address] Nov 2011
Presentation overview ,[object Object],[object Object],[object Object],[object Object],[object Object]
Creation of index ,[object Object],Attribute extractor, used to identify index later Index configuration
Using of query API ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Indexes at storage node
Indexes at storage node ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Indexes at storage node ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How filters use indexes? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: equalsFilter ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Multiple indexes in same query ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Index performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Compound indexes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ordered indexes vs. unordered
Custom indexes since 3.6 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ingredients of customs index ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why custom indexes? ,[object Object],[object Object],[object Object],[object Object]
Using Apache Lucene in grid ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lucene example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lucene example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lucene example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lucene search performance
Time series index ,[object Object],[object Object],[object Object]
Time series index
[object Object],Alexey Ragozin  [email_address] http://aragozin.blogspot.com - my articles http://code.google.com/p/gridkit - my open source code

Weitere ähnliche Inhalte

Was ist angesagt?

Cocoaheads Meetup / Alex Zimin / Swift magic
Cocoaheads Meetup / Alex Zimin / Swift magicCocoaheads Meetup / Alex Zimin / Swift magic
Cocoaheads Meetup / Alex Zimin / Swift magicBadoo Development
 
Reviewing a Complex DataWeave Transformation Use-case
Reviewing a Complex DataWeave Transformation Use-caseReviewing a Complex DataWeave Transformation Use-case
Reviewing a Complex DataWeave Transformation Use-caseAlexandra N. Martinez
 
Collections generic
Collections genericCollections generic
Collections genericsandhish
 
Python advanced 3.the python std lib by example – algorithm
Python advanced 3.the python std lib by example – algorithmPython advanced 3.the python std lib by example – algorithm
Python advanced 3.the python std lib by example – algorithmJohn(Qiang) Zhang
 
Scala Collections : Java 8 on Steroids
Scala Collections : Java 8 on SteroidsScala Collections : Java 8 on Steroids
Scala Collections : Java 8 on SteroidsFrançois Garillot
 
Python advanced 3.the python std lib by example –data structures
Python advanced 3.the python std lib by example –data structuresPython advanced 3.the python std lib by example –data structures
Python advanced 3.the python std lib by example –data structuresJohn(Qiang) Zhang
 
Pyclustering tutorial - K-means
Pyclustering tutorial - K-meansPyclustering tutorial - K-means
Pyclustering tutorial - K-meansAndrei Novikov
 
Iterator Design Pattern
Iterator Design PatternIterator Design Pattern
Iterator Design PatternVarun Arora
 
Stacks in data structure
Stacks  in data structureStacks  in data structure
Stacks in data structurelodhran-hayat
 
Educational slides by venay magen
Educational slides by venay magenEducational slides by venay magen
Educational slides by venay magenvenaymagen19
 
Queue Data Structure
Queue Data StructureQueue Data Structure
Queue Data StructureZidny Nafan
 
Przywitaj się z reactive extensions
Przywitaj się z reactive extensionsPrzywitaj się z reactive extensions
Przywitaj się z reactive extensionsMarcin Juraszek
 
Engineering lecture ppt by venay magen
Engineering lecture ppt by venay magenEngineering lecture ppt by venay magen
Engineering lecture ppt by venay magenvenaymagen19
 
Java Presentation
Java PresentationJava Presentation
Java Presentationmdfkhan625
 

Was ist angesagt? (20)

Stack & Queue
Stack & QueueStack & Queue
Stack & Queue
 
Cocoaheads Meetup / Alex Zimin / Swift magic
Cocoaheads Meetup / Alex Zimin / Swift magicCocoaheads Meetup / Alex Zimin / Swift magic
Cocoaheads Meetup / Alex Zimin / Swift magic
 
Reviewing a Complex DataWeave Transformation Use-case
Reviewing a Complex DataWeave Transformation Use-caseReviewing a Complex DataWeave Transformation Use-case
Reviewing a Complex DataWeave Transformation Use-case
 
Collections and generics
Collections and genericsCollections and generics
Collections and generics
 
Collections generic
Collections genericCollections generic
Collections generic
 
Actividad N° 6 - Unidad 4
Actividad N° 6 - Unidad 4Actividad N° 6 - Unidad 4
Actividad N° 6 - Unidad 4
 
Python advanced 3.the python std lib by example – algorithm
Python advanced 3.the python std lib by example – algorithmPython advanced 3.the python std lib by example – algorithm
Python advanced 3.the python std lib by example – algorithm
 
Stack Data structure
Stack Data structureStack Data structure
Stack Data structure
 
Scala Collections : Java 8 on Steroids
Scala Collections : Java 8 on SteroidsScala Collections : Java 8 on Steroids
Scala Collections : Java 8 on Steroids
 
Python advanced 3.the python std lib by example –data structures
Python advanced 3.the python std lib by example –data structuresPython advanced 3.the python std lib by example –data structures
Python advanced 3.the python std lib by example –data structures
 
Pyclustering tutorial - K-means
Pyclustering tutorial - K-meansPyclustering tutorial - K-means
Pyclustering tutorial - K-means
 
Iterator Design Pattern
Iterator Design PatternIterator Design Pattern
Iterator Design Pattern
 
Stacks in data structure
Stacks  in data structureStacks  in data structure
Stacks in data structure
 
8 python data structure-1
8 python data structure-18 python data structure-1
8 python data structure-1
 
Educational slides by venay magen
Educational slides by venay magenEducational slides by venay magen
Educational slides by venay magen
 
Queue Data Structure
Queue Data StructureQueue Data Structure
Queue Data Structure
 
Przywitaj się z reactive extensions
Przywitaj się z reactive extensionsPrzywitaj się z reactive extensions
Przywitaj się z reactive extensions
 
Engineering lecture ppt by venay magen
Engineering lecture ppt by venay magenEngineering lecture ppt by venay magen
Engineering lecture ppt by venay magen
 
Java -lec-5
Java -lec-5Java -lec-5
Java -lec-5
 
Java Presentation
Java PresentationJava Presentation
Java Presentation
 

Andere mochten auch

Doctrine Php Object Relational Mapper
Doctrine Php Object Relational MapperDoctrine Php Object Relational Mapper
Doctrine Php Object Relational MapperJonathan Wage
 
Jernej Cimbaljevič, Tetoviranje
Jernej Cimbaljevič, TetoviranjeJernej Cimbaljevič, Tetoviranje
Jernej Cimbaljevič, TetoviranjePintaric
 
Doctrine In The Real World sflive2011 Paris
Doctrine In The Real World sflive2011 ParisDoctrine In The Real World sflive2011 Paris
Doctrine In The Real World sflive2011 ParisJonathan Wage
 
Qualcomm Internet of Things R&D Insights from Patents
Qualcomm Internet of Things R&D Insights from PatentsQualcomm Internet of Things R&D Insights from Patents
Qualcomm Internet of Things R&D Insights from PatentsAlex G. Lee, Ph.D. Esq. CLP
 
Doctrine Php Object Relational Mapper
Doctrine Php Object Relational MapperDoctrine Php Object Relational Mapper
Doctrine Php Object Relational Mapperguesta3af58
 

Andere mochten auch (8)

Doctrine Php Object Relational Mapper
Doctrine Php Object Relational MapperDoctrine Php Object Relational Mapper
Doctrine Php Object Relational Mapper
 
Jernej Cimbaljevič, Tetoviranje
Jernej Cimbaljevič, TetoviranjeJernej Cimbaljevič, Tetoviranje
Jernej Cimbaljevič, Tetoviranje
 
Doctrine In The Real World sflive2011 Paris
Doctrine In The Real World sflive2011 ParisDoctrine In The Real World sflive2011 Paris
Doctrine In The Real World sflive2011 Paris
 
Endeca vs solr
Endeca vs solrEndeca vs solr
Endeca vs solr
 
Qualcomm Internet of Things R&D Insights from Patents
Qualcomm Internet of Things R&D Insights from PatentsQualcomm Internet of Things R&D Insights from Patents
Qualcomm Internet of Things R&D Insights from Patents
 
áReas Ambientalmente FráGiles
áReas Ambientalmente FráGilesáReas Ambientalmente FráGiles
áReas Ambientalmente FráGiles
 
Apache Solr vs Oracle Endeca
Apache Solr vs Oracle EndecaApache Solr vs Oracle Endeca
Apache Solr vs Oracle Endeca
 
Doctrine Php Object Relational Mapper
Doctrine Php Object Relational MapperDoctrine Php Object Relational Mapper
Doctrine Php Object Relational Mapper
 

Ähnlich wie Coherence SIG: Advanced usage of indexes in coherence

React table tutorial use filter (part 2)
React table tutorial use filter (part 2)React table tutorial use filter (part 2)
React table tutorial use filter (part 2)Katy Slemon
 
Java căn bản - Chapter7
Java căn bản - Chapter7Java căn bản - Chapter7
Java căn bản - Chapter7Vince Vo
 
Chapter 7 - Defining Your Own Classes - Part II
Chapter 7 - Defining Your Own Classes - Part IIChapter 7 - Defining Your Own Classes - Part II
Chapter 7 - Defining Your Own Classes - Part IIEduardo Bergavera
 
Collections in Java
Collections in JavaCollections in Java
Collections in JavaKhasim Cise
 
all i need is these two filesCreate VectorContainer.hppCreat.docx
all i need is these two filesCreate VectorContainer.hppCreat.docxall i need is these two filesCreate VectorContainer.hppCreat.docx
all i need is these two filesCreate VectorContainer.hppCreat.docxjack60216
 
Spring data ii
Spring data iiSpring data ii
Spring data ii명철 강
 
Ian 2014.10.24 weekly report
Ian 2014.10.24 weekly reportIan 2014.10.24 weekly report
Ian 2014.10.24 weekly reportLearningTech
 
The life of a query (oracle edition)
The life of a query (oracle edition)The life of a query (oracle edition)
The life of a query (oracle edition)maclean liu
 
Creat Shape classes from scratch DETAILS You will create 3 shape cla.pdf
Creat Shape classes from scratch DETAILS You will create 3 shape cla.pdfCreat Shape classes from scratch DETAILS You will create 3 shape cla.pdf
Creat Shape classes from scratch DETAILS You will create 3 shape cla.pdfaromanets
 
project2.classpathproject2.project project2 .docx
project2.classpathproject2.project  project2 .docxproject2.classpathproject2.project  project2 .docx
project2.classpathproject2.project project2 .docxbriancrawford30935
 
Stata cheatsheet programming
Stata cheatsheet programmingStata cheatsheet programming
Stata cheatsheet programmingTim Essam
 
Anais Dotis-Georgiou & Faith Chikwekwe [InfluxData] | Top 10 Hurdles for Flux...
Anais Dotis-Georgiou & Faith Chikwekwe [InfluxData] | Top 10 Hurdles for Flux...Anais Dotis-Georgiou & Faith Chikwekwe [InfluxData] | Top 10 Hurdles for Flux...
Anais Dotis-Georgiou & Faith Chikwekwe [InfluxData] | Top 10 Hurdles for Flux...InfluxData
 
F# in the enterprise
F# in the enterpriseF# in the enterprise
F# in the enterprise7sharp9
 

Ähnlich wie Coherence SIG: Advanced usage of indexes in coherence (20)

Gephi Toolkit Tutorial
Gephi Toolkit TutorialGephi Toolkit Tutorial
Gephi Toolkit Tutorial
 
React table tutorial use filter (part 2)
React table tutorial use filter (part 2)React table tutorial use filter (part 2)
React table tutorial use filter (part 2)
 
Java căn bản - Chapter7
Java căn bản - Chapter7Java căn bản - Chapter7
Java căn bản - Chapter7
 
Chapter 7 - Defining Your Own Classes - Part II
Chapter 7 - Defining Your Own Classes - Part IIChapter 7 - Defining Your Own Classes - Part II
Chapter 7 - Defining Your Own Classes - Part II
 
Collections in Java
Collections in JavaCollections in Java
Collections in Java
 
Collections
CollectionsCollections
Collections
 
CS2309 JAVA LAB MANUAL
CS2309 JAVA LAB MANUALCS2309 JAVA LAB MANUAL
CS2309 JAVA LAB MANUAL
 
all i need is these two filesCreate VectorContainer.hppCreat.docx
all i need is these two filesCreate VectorContainer.hppCreat.docxall i need is these two filesCreate VectorContainer.hppCreat.docx
all i need is these two filesCreate VectorContainer.hppCreat.docx
 
Collections
CollectionsCollections
Collections
 
Spring data ii
Spring data iiSpring data ii
Spring data ii
 
Session 2- day 3
Session 2- day 3Session 2- day 3
Session 2- day 3
 
Ian 2014.10.24 weekly report
Ian 2014.10.24 weekly reportIan 2014.10.24 weekly report
Ian 2014.10.24 weekly report
 
The life of a query (oracle edition)
The life of a query (oracle edition)The life of a query (oracle edition)
The life of a query (oracle edition)
 
Creat Shape classes from scratch DETAILS You will create 3 shape cla.pdf
Creat Shape classes from scratch DETAILS You will create 3 shape cla.pdfCreat Shape classes from scratch DETAILS You will create 3 shape cla.pdf
Creat Shape classes from scratch DETAILS You will create 3 shape cla.pdf
 
project2.classpathproject2.project project2 .docx
project2.classpathproject2.project  project2 .docxproject2.classpathproject2.project  project2 .docx
project2.classpathproject2.project project2 .docx
 
Stata cheatsheet programming
Stata cheatsheet programmingStata cheatsheet programming
Stata cheatsheet programming
 
Anais Dotis-Georgiou & Faith Chikwekwe [InfluxData] | Top 10 Hurdles for Flux...
Anais Dotis-Georgiou & Faith Chikwekwe [InfluxData] | Top 10 Hurdles for Flux...Anais Dotis-Georgiou & Faith Chikwekwe [InfluxData] | Top 10 Hurdles for Flux...
Anais Dotis-Georgiou & Faith Chikwekwe [InfluxData] | Top 10 Hurdles for Flux...
 
F# in the enterprise
F# in the enterpriseF# in the enterprise
F# in the enterprise
 
Collections
CollectionsCollections
Collections
 
Api presentation
Api presentationApi presentation
Api presentation
 

Mehr von aragozin

Java on Linux for devs and ops
Java on Linux for devs and opsJava on Linux for devs and ops
Java on Linux for devs and opsaragozin
 
I know why your Java is slow
I know why your Java is slowI know why your Java is slow
I know why your Java is slowaragozin
 
Java profiling Do It Yourself (jug.msk.ru 2016)
Java profiling Do It Yourself (jug.msk.ru 2016)Java profiling Do It Yourself (jug.msk.ru 2016)
Java profiling Do It Yourself (jug.msk.ru 2016)aragozin
 
Java black box profiling JUG.EKB 2016
Java black box profiling JUG.EKB 2016Java black box profiling JUG.EKB 2016
Java black box profiling JUG.EKB 2016aragozin
 
Распределённое нагрузочное тестирование на Java
Распределённое нагрузочное тестирование на JavaРаспределённое нагрузочное тестирование на Java
Распределённое нагрузочное тестирование на Javaaragozin
 
What every Java developer should know about network?
What every Java developer should know about network?What every Java developer should know about network?
What every Java developer should know about network?aragozin
 
Java profiling Do It Yourself
Java profiling Do It YourselfJava profiling Do It Yourself
Java profiling Do It Yourselfaragozin
 
DIY Java Profiler
DIY Java ProfilerDIY Java Profiler
DIY Java Profileraragozin
 
Java black box profiling
Java black box profilingJava black box profiling
Java black box profilingaragozin
 
Блеск и нищета распределённых кэшей
Блеск и нищета распределённых кэшейБлеск и нищета распределённых кэшей
Блеск и нищета распределённых кэшейaragozin
 
JIT compilation in modern platforms – challenges and solutions
JIT compilation in modern platforms – challenges and solutionsJIT compilation in modern platforms – challenges and solutions
JIT compilation in modern platforms – challenges and solutionsaragozin
 
Casual mass parallel computing
Casual mass parallel computingCasual mass parallel computing
Casual mass parallel computingaragozin
 
Nanocloud cloud scale jvm
Nanocloud   cloud scale jvmNanocloud   cloud scale jvm
Nanocloud cloud scale jvmaragozin
 
Java GC tuning and monitoring (by Alexander Ashitkin)
Java GC tuning and monitoring (by Alexander Ashitkin)Java GC tuning and monitoring (by Alexander Ashitkin)
Java GC tuning and monitoring (by Alexander Ashitkin)aragozin
 
Garbage collection in JVM
Garbage collection in JVMGarbage collection in JVM
Garbage collection in JVMaragozin
 
Virtualizing Java in Java (jug.ru)
Virtualizing Java in Java (jug.ru)Virtualizing Java in Java (jug.ru)
Virtualizing Java in Java (jug.ru)aragozin
 
Filtering 100M objects in Coherence cache. What can go wrong?
Filtering 100M objects in Coherence cache. What can go wrong?Filtering 100M objects in Coherence cache. What can go wrong?
Filtering 100M objects in Coherence cache. What can go wrong?aragozin
 
Cборка мусора в Java без пауз (HighLoad++ 2013)
Cборка мусора в Java без пауз  (HighLoad++ 2013)Cборка мусора в Java без пауз  (HighLoad++ 2013)
Cборка мусора в Java без пауз (HighLoad++ 2013)aragozin
 
JIT-компиляция в виртуальной машине Java (HighLoad++ 2013)
JIT-компиляция в виртуальной машине Java (HighLoad++ 2013)JIT-компиляция в виртуальной машине Java (HighLoad++ 2013)
JIT-компиляция в виртуальной машине Java (HighLoad++ 2013)aragozin
 
Performance Test Driven Development (CEE SERC 2013 Moscow)
Performance Test Driven Development (CEE SERC 2013 Moscow)Performance Test Driven Development (CEE SERC 2013 Moscow)
Performance Test Driven Development (CEE SERC 2013 Moscow)aragozin
 

Mehr von aragozin (20)

Java on Linux for devs and ops
Java on Linux for devs and opsJava on Linux for devs and ops
Java on Linux for devs and ops
 
I know why your Java is slow
I know why your Java is slowI know why your Java is slow
I know why your Java is slow
 
Java profiling Do It Yourself (jug.msk.ru 2016)
Java profiling Do It Yourself (jug.msk.ru 2016)Java profiling Do It Yourself (jug.msk.ru 2016)
Java profiling Do It Yourself (jug.msk.ru 2016)
 
Java black box profiling JUG.EKB 2016
Java black box profiling JUG.EKB 2016Java black box profiling JUG.EKB 2016
Java black box profiling JUG.EKB 2016
 
Распределённое нагрузочное тестирование на Java
Распределённое нагрузочное тестирование на JavaРаспределённое нагрузочное тестирование на Java
Распределённое нагрузочное тестирование на Java
 
What every Java developer should know about network?
What every Java developer should know about network?What every Java developer should know about network?
What every Java developer should know about network?
 
Java profiling Do It Yourself
Java profiling Do It YourselfJava profiling Do It Yourself
Java profiling Do It Yourself
 
DIY Java Profiler
DIY Java ProfilerDIY Java Profiler
DIY Java Profiler
 
Java black box profiling
Java black box profilingJava black box profiling
Java black box profiling
 
Блеск и нищета распределённых кэшей
Блеск и нищета распределённых кэшейБлеск и нищета распределённых кэшей
Блеск и нищета распределённых кэшей
 
JIT compilation in modern platforms – challenges and solutions
JIT compilation in modern platforms – challenges and solutionsJIT compilation in modern platforms – challenges and solutions
JIT compilation in modern platforms – challenges and solutions
 
Casual mass parallel computing
Casual mass parallel computingCasual mass parallel computing
Casual mass parallel computing
 
Nanocloud cloud scale jvm
Nanocloud   cloud scale jvmNanocloud   cloud scale jvm
Nanocloud cloud scale jvm
 
Java GC tuning and monitoring (by Alexander Ashitkin)
Java GC tuning and monitoring (by Alexander Ashitkin)Java GC tuning and monitoring (by Alexander Ashitkin)
Java GC tuning and monitoring (by Alexander Ashitkin)
 
Garbage collection in JVM
Garbage collection in JVMGarbage collection in JVM
Garbage collection in JVM
 
Virtualizing Java in Java (jug.ru)
Virtualizing Java in Java (jug.ru)Virtualizing Java in Java (jug.ru)
Virtualizing Java in Java (jug.ru)
 
Filtering 100M objects in Coherence cache. What can go wrong?
Filtering 100M objects in Coherence cache. What can go wrong?Filtering 100M objects in Coherence cache. What can go wrong?
Filtering 100M objects in Coherence cache. What can go wrong?
 
Cборка мусора в Java без пауз (HighLoad++ 2013)
Cборка мусора в Java без пауз  (HighLoad++ 2013)Cборка мусора в Java без пауз  (HighLoad++ 2013)
Cборка мусора в Java без пауз (HighLoad++ 2013)
 
JIT-компиляция в виртуальной машине Java (HighLoad++ 2013)
JIT-компиляция в виртуальной машине Java (HighLoad++ 2013)JIT-компиляция в виртуальной машине Java (HighLoad++ 2013)
JIT-компиляция в виртуальной машине Java (HighLoad++ 2013)
 
Performance Test Driven Development (CEE SERC 2013 Moscow)
Performance Test Driven Development (CEE SERC 2013 Moscow)Performance Test Driven Development (CEE SERC 2013 Moscow)
Performance Test Driven Development (CEE SERC 2013 Moscow)
 

Kürzlich hochgeladen

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Zilliz
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
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
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamUiPathCommunity
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusZilliz
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfOverkill Security
 

Kürzlich hochgeladen (20)

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
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
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 

Coherence SIG: Advanced usage of indexes in coherence