SlideShare a Scribd company logo

Data Warehouses: A Whistle-Stop Tour

•Download as PPT, PDF•
•
C
Cade Roux

The document provides an overview of key concepts in data warehousing including definitions of terms like ETL, facts and dimensions, and data modeling approaches. It also discusses best practices such as incremental delivery and quality testing as well as worst practices to avoid like not understanding the data or business needs. The document concludes with tips on performance, application logic in ETL, and additional resources.

Technology
1 of 27
Data Warehouses: A Whistle-Stop Tour Cade Roux [email_address]
Typical Business "Design"
Typical Goal Scenario
What success still looks like - version 1
What success still looks like - version 2
What success should look like
Glossary ,[object Object],[object Object],[object Object]
Glossary (2) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Glossary (3) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Glossary (4) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Glossary (5) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Glossary (6) ,[object Object],[object Object],[object Object],[object Object]
Glossary (7) ,[object Object],[object Object],[object Object],[object Object]
Normal Form
 
Facts and Dimensions
 
Dimensional Modelling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Topics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conformed Dimensions ,[object Object],[object Object],[object Object]
NULLs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Best Practices ,[object Object],[object Object],[object Object]
Worst Practices ,[object Object],[object Object],[object Object]
Some things to keep in mind ,[object Object],[object Object],[object Object]
Performance Issues ,[object Object],[object Object],[object Object],[object Object],[object Object]
Application Logic ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Links ,[object Object],[object Object]

Recommended

Data Warehousing for Gnocode
Data Warehousing for GnocodeData Warehousing for Gnocode
Data Warehousing for Gnocode
Cade Roux
 
Get a Lever and Pick Any Turtle - Lifting with Metadata
Get a Lever and Pick Any Turtle - Lifting with MetadataGet a Lever and Pick Any Turtle - Lifting with Metadata
Get a Lever and Pick Any Turtle - Lifting with Metadata
Cade Roux
 
My Catalogue
My CatalogueMy Catalogue
My Catalogue
ssthomas14
 
Get a Lever and Pick Any Turtle: Lifting with Metadata
Get a Lever and Pick Any Turtle: Lifting with MetadataGet a Lever and Pick Any Turtle: Lifting with Metadata
Get a Lever and Pick Any Turtle: Lifting with Metadata
Cade Roux
 
Anand Abc
Anand AbcAnand Abc
Anand Abc
guest8f7143
 
How to be a 21st Century leader
How to be a 21st Century leaderHow to be a 21st Century leader
How to be a 21st Century leader
Jan Bartscht
 
Visual C++ tutorial
Visual C++ tutorialVisual C++ tutorial
Visual C++ tutorial
fersend
 
Hunter Metal Website Presentation
Hunter Metal Website PresentationHunter Metal Website Presentation
Hunter Metal Website Presentation
guest75bde82
 

Recommended

Data Warehousing for Gnocode
Data Warehousing for GnocodeData Warehousing for Gnocode
Data Warehousing for Gnocode
Cade Roux
 
Get a Lever and Pick Any Turtle - Lifting with Metadata
Get a Lever and Pick Any Turtle - Lifting with MetadataGet a Lever and Pick Any Turtle - Lifting with Metadata
Get a Lever and Pick Any Turtle - Lifting with Metadata
Cade Roux
 
My Catalogue
My CatalogueMy Catalogue
My Catalogue
ssthomas14
 
Get a Lever and Pick Any Turtle: Lifting with Metadata
Get a Lever and Pick Any Turtle: Lifting with MetadataGet a Lever and Pick Any Turtle: Lifting with Metadata
Get a Lever and Pick Any Turtle: Lifting with Metadata
Cade Roux
 
Anand Abc
Anand AbcAnand Abc
Anand Abc
guest8f7143
 
How to be a 21st Century leader
How to be a 21st Century leaderHow to be a 21st Century leader
How to be a 21st Century leader
Jan Bartscht
 
Visual C++ tutorial
Visual C++ tutorialVisual C++ tutorial
Visual C++ tutorial
fersend
 
Hunter Metal Website Presentation
Hunter Metal Website PresentationHunter Metal Website Presentation
Hunter Metal Website Presentation
guest75bde82
 
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
NEWYORKSYS-IT SOLUTIONS
 
Chapter 2
Chapter 2Chapter 2
Chapter 2
mekuanint sefi
 
Oracle sql plsql & dw
Oracle sql plsql & dwOracle sql plsql & dw
Oracle sql plsql & dw
Sateesh Kumar Sarvasiddi
 
Data warehouse
Data warehouseData warehouse
Data warehouse
_123_
 
Data warehousing
Data warehousingData warehousing
Data warehousing
Juhi Mahajan
 
OLAP
OLAPOLAP
OLAP
Rashmi Bhat
 
Dwh faqs
Dwh faqsDwh faqs
Dwh faqs
infor123
 
Oracle Hyperion overview
Oracle Hyperion overviewOracle Hyperion overview
Oracle Hyperion overview
Click4learning
 
Traditional Data-warehousing / BI overview
Traditional Data-warehousing / BI overviewTraditional Data-warehousing / BI overview
Traditional Data-warehousing / BI overview
Nagaraj Yerram
 
Data warehouse concepts
Data warehouse conceptsData warehouse concepts
Data warehouse concepts
obieefans
 
Bi Dw Presentation
Bi Dw PresentationBi Dw Presentation
Bi Dw Presentation
vickyc
 
SAP BODS -quick guide.docx
SAP BODS -quick guide.docxSAP BODS -quick guide.docx
SAP BODS -quick guide.docx
Ken T
 
Msbi by quontra us
Msbi by quontra usMsbi by quontra us
Msbi by quontra us
QUONTRASOLUTIONS
 
Data warehousing interview questions
Data warehousing interview questionsData warehousing interview questions
Data warehousing interview questions
Satyam Jaiswal
 
Datawarehousing & DSS
Datawarehousing & DSSDatawarehousing & DSS
Datawarehousing & DSS
Deepali Raut
 
The Data Warehouse Lifecycle
The Data Warehouse LifecycleThe Data Warehouse Lifecycle
The Data Warehouse Lifecycle
bartlowe
 
Informatica and datawarehouse Material
Informatica and datawarehouse MaterialInformatica and datawarehouse Material
Informatica and datawarehouse Material
obieefans
 
Best Practices and Lessons Learned on Our IBM Rational Insight Deployment
Best Practices and Lessons Learned on Our IBM Rational Insight DeploymentBest Practices and Lessons Learned on Our IBM Rational Insight Deployment
Best Practices and Lessons Learned on Our IBM Rational Insight Deployment
Marc Nehme
 
Top 60+ Data Warehouse Interview Questions and Answers.pdf
Top 60+ Data Warehouse Interview Questions and Answers.pdfTop 60+ Data Warehouse Interview Questions and Answers.pdf
Top 60+ Data Warehouse Interview Questions and Answers.pdf
Datacademy.ai
 
Data Vault Introduction
Data Vault IntroductionData Vault Introduction
Data Vault Introduction
Patrick Van Renterghem
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Neo4j
 

More Related Content

Similar to Data Warehouses: A Whistle-Stop Tour

Data warehouse
Data warehouseData warehouse
Data warehouse
_123_
 
The Data Warehouse Lifecycle
The Data Warehouse LifecycleThe Data Warehouse Lifecycle
The Data Warehouse Lifecycle
bartlowe
 
Informatica and datawarehouse Material
Informatica and datawarehouse MaterialInformatica and datawarehouse Material
Informatica and datawarehouse Material
obieefans
 
Best Practices and Lessons Learned on Our IBM Rational Insight Deployment
Best Practices and Lessons Learned on Our IBM Rational Insight DeploymentBest Practices and Lessons Learned on Our IBM Rational Insight Deployment
Best Practices and Lessons Learned on Our IBM Rational Insight Deployment
Marc Nehme
 

Similar to Data Warehouses: A Whistle-Stop Tour (20)

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
 
Chapter 2
Chapter 2Chapter 2
Chapter 2
 
Oracle sql plsql & dw
Oracle sql plsql & dwOracle sql plsql & dw
Oracle sql plsql & dw
 
Data warehouse
Data warehouseData warehouse
Data warehouse
 
Data warehousing
Data warehousingData warehousing
Data warehousing
 
OLAP
OLAPOLAP
OLAP
 
Dwh faqs
Dwh faqsDwh faqs
Dwh faqs
 
Oracle Hyperion overview
Oracle Hyperion overviewOracle Hyperion overview
Oracle Hyperion overview
 
Traditional Data-warehousing / BI overview
Traditional Data-warehousing / BI overviewTraditional Data-warehousing / BI overview
Traditional Data-warehousing / BI overview
 
Data warehouse concepts
Data warehouse conceptsData warehouse concepts
Data warehouse concepts
 
Bi Dw Presentation
Bi Dw PresentationBi Dw Presentation
Bi Dw Presentation
 
SAP BODS -quick guide.docx
SAP BODS -quick guide.docxSAP BODS -quick guide.docx
SAP BODS -quick guide.docx
 
Msbi by quontra us
Msbi by quontra usMsbi by quontra us
Msbi by quontra us
 
Data warehousing interview questions
Data warehousing interview questionsData warehousing interview questions
Data warehousing interview questions
 
Datawarehousing & DSS
Datawarehousing & DSSDatawarehousing & DSS
Datawarehousing & DSS
 
The Data Warehouse Lifecycle
The Data Warehouse LifecycleThe Data Warehouse Lifecycle
The Data Warehouse Lifecycle
 
Informatica and datawarehouse Material
Informatica and datawarehouse MaterialInformatica and datawarehouse Material
Informatica and datawarehouse Material
 
Best Practices and Lessons Learned on Our IBM Rational Insight Deployment
Best Practices and Lessons Learned on Our IBM Rational Insight DeploymentBest Practices and Lessons Learned on Our IBM Rational Insight Deployment
Best Practices and Lessons Learned on Our IBM Rational Insight Deployment
 
Top 60+ Data Warehouse Interview Questions and Answers.pdf
Top 60+ Data Warehouse Interview Questions and Answers.pdfTop 60+ Data Warehouse Interview Questions and Answers.pdf
Top 60+ Data Warehouse Interview Questions and Answers.pdf
 
Data Vault Introduction
Data Vault IntroductionData Vault Introduction
Data Vault Introduction
 

Recently uploaded

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
UK Journal
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
Principled Technologies
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Drew Madelung
 
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
sammart93
 

Recently uploaded (20)

Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
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
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
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
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
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...
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
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
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
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
 

Data Warehouses: A Whistle-Stop Tour