SlideShare uma empresa Scribd logo
1 de 87
Data Warehouse Modeling Thijs Kupers Vivek Jonnaganti
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction
The Evolution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a Data Warehouse? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a Data Warehouse? (cont’d) ,[object Object],[object Object]
Data Warehouse Goals/Characteristics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Sizes ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehousing Concepts
Data Warehouse (OLAP) and OLTP
Data Warehouse Architecture Enterprise Data Warehouse Data Mart Data Mart ,[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],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data and Metadata Repository Layer ,[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],[object Object],Presentation Layer ETL Layer Operational Source Systems Technologies: Metadata Repository ODS ,[object Object],[object Object],[object Object],[object Object],[object Object],Data Mart
Data Warehouse Structure Highly Summarized Lightly Summarized Atomic/Detailed Departmentally Structured Individually Structured Data Warehouse Organizationally Structured Data Information
Data Warehouse Architecture Drivers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Mart Centric Data Marts Data Sources Data Warehouse
Data Mart Centric If you end up creating multiple warehouses, integrating them is a problem
Data Warehouse Centric Data Marts Data Sources Data Warehouse
OLAP
OLAP: 3 Tier DSS Data Warehouse Database Layer Store atomic data in industry standard Data Warehouse. OLAP Engine Application Logic Layer Generate SQL execution plans in the OLAP engine to obtain OLAP functionality. Decision Support Client Presentation Layer Obtain multi-dimensional reports from the DSS Client.
OLAP Servers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
OLAP Operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Strengths of OLAP ,[object Object],[object Object],[object Object],[object Object],[object Object]
Dimensional Modeling
What is Dimensional Modeling? ,[object Object],[object Object],[object Object]
DM v/s ER Models  DM ER Used to design database for Online Analytical Processing (OLAP) Used to design database for Online Transaction Processing (OLTP) Support ad hoc end-user queries Support defined queries Intuitive & facilitates high-performance retrieval of data Removes redundancy of data De-normalized Normalized
Fact Tables ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dimension Tables ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Four Step Dimensional Design Process ,[object Object],[object Object],[object Object],[object Object]
Four Step Dimensional Design Process (cont’d) ,[object Object],[object Object],[object Object],[object Object]
Classic Star Schema Model
Snowflake Schema
Fact Constellation Schema
Slowly Changing Dimensions ,[object Object]
Slowly Changing Dimensions (cont’d) ,[object Object],[object Object]
Conceptual Modeling
Graph Theory ,[object Object],[object Object]
The Dimensional Fact Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Dimensional Fact Model
Why Formalize?
Why Formalize? ,[object Object],[object Object],[object Object],[object Object]
Fact Scheme ,[object Object],[object Object],[object Object],[object Object]
Fact Scheme ,[object Object],[object Object]
Fact Scheme ,[object Object]
Fact Scheme
Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sample Schema
Define Facts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Transform Relation
Build Attribute Tree ,[object Object],[object Object]
Build Attribute Tree ,[object Object],[object Object]
Build Attribute Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Attribute Tree
Attribute Tree ,[object Object],[object Object],[object Object]
From ER till Conceptual Design ,[object Object],[object Object],[object Object],[object Object],[object Object]
Prune & Graft ,[object Object],[object Object],[object Object]
Graft ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Graft ,[object Object],[object Object]
Prune & Graft
Prune & Graft
Dimensions ,[object Object],[object Object],[object Object],[object Object]
Measures ,[object Object],[object Object],[object Object],[object Object]
Hierarchies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Aggregation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Aggregation ,[object Object],[object Object]
Multi-Aggregation
Multi-Aggregation ,[object Object],[object Object],[object Object],[object Object]
Multi-Aggregation
Multi-Aggregation
 
 
 
 
 
 
Indexing
Cost Model ,[object Object],[object Object],[object Object]
Cost Model
Indexes ,[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object],[object Object]
Indexes ,[object Object],[object Object],[object Object]
Algorithms ,[object Object],[object Object],[object Object],[object Object]
?
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References (cont’d) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References (cont’d) ,[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

Mais procurados (20)

Data warehouse architecture
Data warehouse architecture Data warehouse architecture
Data warehouse architecture
 
Multidimentional data model
Multidimentional data modelMultidimentional data model
Multidimentional data model
 
Introduction to Data Warehouse
Introduction to Data WarehouseIntroduction to Data Warehouse
Introduction to Data Warehouse
 
Data warehouse
Data warehouseData warehouse
Data warehouse
 
Data warehousing
Data warehousingData warehousing
Data warehousing
 
Data warehouse
Data warehouseData warehouse
Data warehouse
 
Data warehousing and online analytical processing
Data warehousing and online analytical processingData warehousing and online analytical processing
Data warehousing and online analytical processing
 
Introduction to Data Warehouse
Introduction to Data WarehouseIntroduction to Data Warehouse
Introduction to Data Warehouse
 
Data models
Data modelsData models
Data models
 
DATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MININGDATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MINING
 
Introduction to data warehousing
Introduction to data warehousing   Introduction to data warehousing
Introduction to data warehousing
 
Date warehousing concepts
Date warehousing conceptsDate warehousing concepts
Date warehousing concepts
 
Data warehouse
Data warehouseData warehouse
Data warehouse
 
Business intelligence and data warehouses
Business intelligence and data warehousesBusiness intelligence and data warehouses
Business intelligence and data warehouses
 
Tools for data warehousing
Tools  for data warehousingTools  for data warehousing
Tools for data warehousing
 
Dbms relational model
Dbms relational modelDbms relational model
Dbms relational model
 
OLAP technology
OLAP technologyOLAP technology
OLAP technology
 
Data preprocessing
Data preprocessingData preprocessing
Data preprocessing
 
Introduction Data warehouse
Introduction Data warehouseIntroduction Data warehouse
Introduction Data warehouse
 
Data Warehouse
Data Warehouse Data Warehouse
Data Warehouse
 

Destaque

DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSINGKing Julian
 
Data Warehousing 2016
Data Warehousing 2016Data Warehousing 2016
Data Warehousing 2016Kent Graziano
 
Data Modeling for Big Data
Data Modeling for Big DataData Modeling for Big Data
Data Modeling for Big DataDATAVERSITY
 
Business process modeling and analysis for data warehouse design
Business process modeling and analysis for data warehouse designBusiness process modeling and analysis for data warehouse design
Business process modeling and analysis for data warehouse designSlava Kokaev
 
Data Warehouse Back to Basics: Dimensional Modeling
Data Warehouse Back to Basics: Dimensional ModelingData Warehouse Back to Basics: Dimensional Modeling
Data Warehouse Back to Basics: Dimensional ModelingDunn Solutions Group
 
Dimensional Modeling
Dimensional ModelingDimensional Modeling
Dimensional Modelingaksrauf
 
Data warehouse-dimensional-modeling-and-design
Data warehouse-dimensional-modeling-and-designData warehouse-dimensional-modeling-and-design
Data warehouse-dimensional-modeling-and-designSarita Kataria
 
Multidimensional data models
Multidimensional data  modelsMultidimensional data  models
Multidimensional data models774474
 
Vivez plus longtemps et mieux avec le m-health
Vivez plus longtemps et mieux avec le m-healthVivez plus longtemps et mieux avec le m-health
Vivez plus longtemps et mieux avec le m-healthOrange Business Services
 
Big Data: Movement, Warehousing, & Virtualization
Big Data: Movement, Warehousing, & VirtualizationBig Data: Movement, Warehousing, & Virtualization
Big Data: Movement, Warehousing, & Virtualizationtervela
 
Data Mining In Market Research
Data Mining In Market ResearchData Mining In Market Research
Data Mining In Market Researchkevinlan
 
Data Modeling Basics
Data Modeling BasicsData Modeling Basics
Data Modeling Basicsrenuindia
 
Business Intelligence : Offres du marché et benchmarking
Business Intelligence : Offres du marché et benchmarkingBusiness Intelligence : Offres du marché et benchmarking
Business Intelligence : Offres du marché et benchmarkingSamia NACIRI
 
Multidimensional Database Design & Architecture
Multidimensional Database Design & ArchitectureMultidimensional Database Design & Architecture
Multidimensional Database Design & Architecturehasanshan
 
Data Warehousing 3 Feet Deep
Data Warehousing 3 Feet DeepData Warehousing 3 Feet Deep
Data Warehousing 3 Feet DeepRien Matthijsse
 

Destaque (20)

DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSING
 
Data mining
Data miningData mining
Data mining
 
Data Warehousing 2016
Data Warehousing 2016Data Warehousing 2016
Data Warehousing 2016
 
Data Modeling for Big Data
Data Modeling for Big DataData Modeling for Big Data
Data Modeling for Big Data
 
Business process modeling and analysis for data warehouse design
Business process modeling and analysis for data warehouse designBusiness process modeling and analysis for data warehouse design
Business process modeling and analysis for data warehouse design
 
Data Warehouse Back to Basics: Dimensional Modeling
Data Warehouse Back to Basics: Dimensional ModelingData Warehouse Back to Basics: Dimensional Modeling
Data Warehouse Back to Basics: Dimensional Modeling
 
Dimensional Modeling
Dimensional ModelingDimensional Modeling
Dimensional Modeling
 
Data warehouse-dimensional-modeling-and-design
Data warehouse-dimensional-modeling-and-designData warehouse-dimensional-modeling-and-design
Data warehouse-dimensional-modeling-and-design
 
Multidimensional data models
Multidimensional data  modelsMultidimensional data  models
Multidimensional data models
 
Data mining
Data miningData mining
Data mining
 
Vivez plus longtemps et mieux avec le m-health
Vivez plus longtemps et mieux avec le m-healthVivez plus longtemps et mieux avec le m-health
Vivez plus longtemps et mieux avec le m-health
 
Big Data: Movement, Warehousing, & Virtualization
Big Data: Movement, Warehousing, & VirtualizationBig Data: Movement, Warehousing, & Virtualization
Big Data: Movement, Warehousing, & Virtualization
 
Data Mining In Market Research
Data Mining In Market ResearchData Mining In Market Research
Data Mining In Market Research
 
IESA - culture digitale - cours 1
IESA - culture digitale - cours 1IESA - culture digitale - cours 1
IESA - culture digitale - cours 1
 
Data Modeling Basics
Data Modeling BasicsData Modeling Basics
Data Modeling Basics
 
Business Intelligence : Offres du marché et benchmarking
Business Intelligence : Offres du marché et benchmarkingBusiness Intelligence : Offres du marché et benchmarking
Business Intelligence : Offres du marché et benchmarking
 
Data modelling 101
Data modelling 101Data modelling 101
Data modelling 101
 
Multidimensional Database Design & Architecture
Multidimensional Database Design & ArchitectureMultidimensional Database Design & Architecture
Multidimensional Database Design & Architecture
 
Data Warehousing 3 Feet Deep
Data Warehousing 3 Feet DeepData Warehousing 3 Feet Deep
Data Warehousing 3 Feet Deep
 
IESA culture digitale - cours 2
IESA culture digitale - cours 2IESA culture digitale - cours 2
IESA culture digitale - cours 2
 

Semelhante a Data Warehouse Modeling

Datawarehousing & DSS
Datawarehousing & DSSDatawarehousing & DSS
Datawarehousing & DSSDeepali Raut
 
Data Warehouse
Data WarehouseData Warehouse
Data Warehouseganblues
 
Become BI Architect with 1KEY Agile BI Suite - OLAP
Become BI Architect with 1KEY Agile BI Suite - OLAPBecome BI Architect with 1KEY Agile BI Suite - OLAP
Become BI Architect with 1KEY Agile BI Suite - OLAPDhiren Gala
 
Datawarehouse Overview
Datawarehouse OverviewDatawarehouse Overview
Datawarehouse Overviewashok kumar
 
OLAP Cubes in Datawarehousing
OLAP Cubes in DatawarehousingOLAP Cubes in Datawarehousing
OLAP Cubes in DatawarehousingPrithwis Mukerjee
 
UNIT-5 DATA WAREHOUSING.docx
UNIT-5 DATA WAREHOUSING.docxUNIT-5 DATA WAREHOUSING.docx
UNIT-5 DATA WAREHOUSING.docxDURGADEVIL
 
3._DWH_Architecture__Components.ppt
3._DWH_Architecture__Components.ppt3._DWH_Architecture__Components.ppt
3._DWH_Architecture__Components.pptBsMath3rdsem
 
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysWhat is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysNEWYORKSYS-IT SOLUTIONS
 
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Data Mining:  Concepts and Techniques (3rd ed.)— Chapter _04 olapData Mining:  Concepts and Techniques (3rd ed.)— Chapter _04 olap
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olapSalah Amean
 
Data Warehousing and Data Mining
Data Warehousing and Data MiningData Warehousing and Data Mining
Data Warehousing and Data Miningidnats
 
MSBI and Data WareHouse techniques by Quontra
MSBI and Data WareHouse techniques by Quontra MSBI and Data WareHouse techniques by Quontra
MSBI and Data WareHouse techniques by Quontra QUONTRASOLUTIONS
 
UNIT - 1 Part 2: Data Warehousing and Data Mining
UNIT - 1 Part 2: Data Warehousing and Data MiningUNIT - 1 Part 2: Data Warehousing and Data Mining
UNIT - 1 Part 2: Data Warehousing and Data MiningNandakumar P
 
Chapter 4. Data Warehousing and On-Line Analytical Processing.ppt
Chapter 4. Data Warehousing and On-Line Analytical Processing.pptChapter 4. Data Warehousing and On-Line Analytical Processing.ppt
Chapter 4. Data Warehousing and On-Line Analytical Processing.pptSubrata Kumer Paul
 
Data Mining Concept & Technique-ch04.ppt
Data Mining Concept & Technique-ch04.pptData Mining Concept & Technique-ch04.ppt
Data Mining Concept & Technique-ch04.pptMutiaSari53
 
Data Mining: Data warehouse and olap technology
Data Mining: Data warehouse and olap technologyData Mining: Data warehouse and olap technology
Data Mining: Data warehouse and olap technologyDatamining Tools
 
Data warehouse and olap technology
Data warehouse and olap technologyData warehouse and olap technology
Data warehouse and olap technologyDataminingTools Inc
 

Semelhante a Data Warehouse Modeling (20)

Datawarehousing & DSS
Datawarehousing & DSSDatawarehousing & DSS
Datawarehousing & DSS
 
Data Warehouse
Data WarehouseData Warehouse
Data Warehouse
 
Become BI Architect with 1KEY Agile BI Suite - OLAP
Become BI Architect with 1KEY Agile BI Suite - OLAPBecome BI Architect with 1KEY Agile BI Suite - OLAP
Become BI Architect with 1KEY Agile BI Suite - OLAP
 
3dw
3dw3dw
3dw
 
ITReady DW Day2
ITReady DW Day2ITReady DW Day2
ITReady DW Day2
 
3dw
3dw3dw
3dw
 
Datawarehouse Overview
Datawarehouse OverviewDatawarehouse Overview
Datawarehouse Overview
 
OLAP Cubes in Datawarehousing
OLAP Cubes in DatawarehousingOLAP Cubes in Datawarehousing
OLAP Cubes in Datawarehousing
 
UNIT-5 DATA WAREHOUSING.docx
UNIT-5 DATA WAREHOUSING.docxUNIT-5 DATA WAREHOUSING.docx
UNIT-5 DATA WAREHOUSING.docx
 
3._DWH_Architecture__Components.ppt
3._DWH_Architecture__Components.ppt3._DWH_Architecture__Components.ppt
3._DWH_Architecture__Components.ppt
 
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysWhat is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
 
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Data Mining:  Concepts and Techniques (3rd ed.)— Chapter _04 olapData Mining:  Concepts and Techniques (3rd ed.)— Chapter _04 olap
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
 
Data Warehousing and Data Mining
Data Warehousing and Data MiningData Warehousing and Data Mining
Data Warehousing and Data Mining
 
MSBI and Data WareHouse techniques by Quontra
MSBI and Data WareHouse techniques by Quontra MSBI and Data WareHouse techniques by Quontra
MSBI and Data WareHouse techniques by Quontra
 
UNIT - 1 Part 2: Data Warehousing and Data Mining
UNIT - 1 Part 2: Data Warehousing and Data MiningUNIT - 1 Part 2: Data Warehousing and Data Mining
UNIT - 1 Part 2: Data Warehousing and Data Mining
 
Data Warehouse 101
Data Warehouse 101Data Warehouse 101
Data Warehouse 101
 
Chapter 4. Data Warehousing and On-Line Analytical Processing.ppt
Chapter 4. Data Warehousing and On-Line Analytical Processing.pptChapter 4. Data Warehousing and On-Line Analytical Processing.ppt
Chapter 4. Data Warehousing and On-Line Analytical Processing.ppt
 
Data Mining Concept & Technique-ch04.ppt
Data Mining Concept & Technique-ch04.pptData Mining Concept & Technique-ch04.ppt
Data Mining Concept & Technique-ch04.ppt
 
Data Mining: Data warehouse and olap technology
Data Mining: Data warehouse and olap technologyData Mining: Data warehouse and olap technology
Data Mining: Data warehouse and olap technology
 
Data warehouse and olap technology
Data warehouse and olap technologyData warehouse and olap technology
Data warehouse and olap technology
 

Último

Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 

Último (20)

Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 

Data Warehouse Modeling