SlideShare a Scribd company logo
1 of 47
Chapter 2   Data Warehousing
Learning Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object]
Learning Objectives ,[object Object],[object Object],[object Object]
Data Warehousing  Definitions and Concepts   ,[object Object],[object Object]
Data Warehousing  Definitions and Concepts   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehousing  Definitions and Concepts   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehousing  Definitions and Concepts   ,[object Object],[object Object]
Data Warehousing  Definitions and Concepts   ,[object Object],[object Object],[object Object],[object Object]
Data Warehousing  Process Overview   ,[object Object],[object Object]
Data Warehousing  Process Overview
Data Warehousing  Process Overview   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehousing Architectures   ,[object Object],[object Object],[object Object],[object Object]
Data Warehousing Architectures
Data Warehousing Architectures
Data Warehousing Architectures
Data Warehousing Architectures
Data Warehousing Architectures
Data Warehousing Architectures   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ten factors that potentially affect the architecture selection decision:
Data Integration and the  Extraction, Transformation,  and Load (ETL) Process ,[object Object],[object Object]
Data Integration and the  Extraction, Transformation,  and Load (ETL) Process ,[object Object],[object Object]
Data Integration and the  Extraction, Transformation,  and Load (ETL) Process
Data Integration and the  Extraction, Transformation,  and Load (ETL) Process ,[object Object],[object Object],[object Object],[object Object]
Data Integration and the  Extraction, Transformation,  and Load (ETL) Process ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object]
Data Warehouse Development ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Eleven major tasks that could be performed in parallel for successful implementation of a data warehouse  (Solomon, 2005) :
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Development   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Real-Time Data Warehousing   ,[object Object],[object Object]
Real-Time Data Warehousing   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Real-Time Data Warehousing
Real-Time Data Warehousing
Real-Time Data Warehousing   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse  Administration and Security Issues   ,[object Object],[object Object]
Data Warehouse  Administration and Security Issues   ,[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

Designing a Framework to Standardize Data Warehouse Development Process for E...
Designing a Framework to Standardize Data Warehouse Development Process for E...Designing a Framework to Standardize Data Warehouse Development Process for E...
Designing a Framework to Standardize Data Warehouse Development Process for E...ijdms
 
ETL and its impact on Business Intelligence
ETL and its impact on Business IntelligenceETL and its impact on Business Intelligence
ETL and its impact on Business IntelligenceIshaPande
 
Implementation of Data Marts in Data ware house
Implementation of Data Marts in Data ware houseImplementation of Data Marts in Data ware house
Implementation of Data Marts in Data ware houseIJARIIT
 
DMDW Lesson 03 - Data Warehouse Theory
DMDW Lesson 03 - Data Warehouse TheoryDMDW Lesson 03 - Data Warehouse Theory
DMDW Lesson 03 - Data Warehouse TheoryJohannes Hoppe
 
Data warehouse-testing
Data warehouse-testingData warehouse-testing
Data warehouse-testingraianup
 
Introduction to the Query-driven Approach
Introduction to the Query-driven ApproachIntroduction to the Query-driven Approach
Introduction to the Query-driven ApproachTimothy Valihora
 
Benefits of data_archiving_in_data _warehouses
Benefits of data_archiving_in_data _warehousesBenefits of data_archiving_in_data _warehouses
Benefits of data_archiving_in_data _warehousesSurendar Bandi
 
Data Warehouse: A Primer
Data Warehouse: A PrimerData Warehouse: A Primer
Data Warehouse: A PrimerIJRTEMJOURNAL
 
Data warehouse legacy systems-data marts-marketing database
Data warehouse legacy systems-data marts-marketing databaseData warehouse legacy systems-data marts-marketing database
Data warehouse legacy systems-data marts-marketing databaseDavin Abraham
 
Eight styles of data integration
Eight styles of data integrationEight styles of data integration
Eight styles of data integrationSteve Sobotincic
 
Chap05 Data Resource Management
Chap05 Data Resource ManagementChap05 Data Resource Management
Chap05 Data Resource ManagementAqib Syed
 
Data Ware House Testing
Data Ware House TestingData Ware House Testing
Data Ware House Testingmanojpmat
 
The Benefits of Tiered Storage
The Benefits of Tiered StorageThe Benefits of Tiered Storage
The Benefits of Tiered StorageEverteam
 

What's hot (20)

Designing a Framework to Standardize Data Warehouse Development Process for E...
Designing a Framework to Standardize Data Warehouse Development Process for E...Designing a Framework to Standardize Data Warehouse Development Process for E...
Designing a Framework to Standardize Data Warehouse Development Process for E...
 
ETL and its impact on Business Intelligence
ETL and its impact on Business IntelligenceETL and its impact on Business Intelligence
ETL and its impact on Business Intelligence
 
Implementation of Data Marts in Data ware house
Implementation of Data Marts in Data ware houseImplementation of Data Marts in Data ware house
Implementation of Data Marts in Data ware house
 
Chap05 data resource mgt
Chap05 data resource mgtChap05 data resource mgt
Chap05 data resource mgt
 
Datawarehouse
DatawarehouseDatawarehouse
Datawarehouse
 
DMDW Lesson 03 - Data Warehouse Theory
DMDW Lesson 03 - Data Warehouse TheoryDMDW Lesson 03 - Data Warehouse Theory
DMDW Lesson 03 - Data Warehouse Theory
 
Data warehouse-testing
Data warehouse-testingData warehouse-testing
Data warehouse-testing
 
Introduction to the Query-driven Approach
Introduction to the Query-driven ApproachIntroduction to the Query-driven Approach
Introduction to the Query-driven Approach
 
Benefits of data_archiving_in_data _warehouses
Benefits of data_archiving_in_data _warehousesBenefits of data_archiving_in_data _warehouses
Benefits of data_archiving_in_data _warehouses
 
Data warehousing
Data warehousingData warehousing
Data warehousing
 
Chapter 11
Chapter 11Chapter 11
Chapter 11
 
Data Warehouse: A Primer
Data Warehouse: A PrimerData Warehouse: A Primer
Data Warehouse: A Primer
 
Data Archiving white paper
Data Archiving white paperData Archiving white paper
Data Archiving white paper
 
Data warehouse legacy systems-data marts-marketing database
Data warehouse legacy systems-data marts-marketing databaseData warehouse legacy systems-data marts-marketing database
Data warehouse legacy systems-data marts-marketing database
 
Data Warehouse Questions
Data Warehouse QuestionsData Warehouse Questions
Data Warehouse Questions
 
Data warehouse proposal
Data warehouse proposalData warehouse proposal
Data warehouse proposal
 
Eight styles of data integration
Eight styles of data integrationEight styles of data integration
Eight styles of data integration
 
Chap05 Data Resource Management
Chap05 Data Resource ManagementChap05 Data Resource Management
Chap05 Data Resource Management
 
Data Ware House Testing
Data Ware House TestingData Ware House Testing
Data Ware House Testing
 
The Benefits of Tiered Storage
The Benefits of Tiered StorageThe Benefits of Tiered Storage
The Benefits of Tiered Storage
 

Similar to Chapter 2-data-warehousingppt2517 vero

Data Warehouse Basic Guide
Data Warehouse Basic GuideData Warehouse Basic Guide
Data Warehouse Basic Guidethomasmary607
 
Datawarehousing
DatawarehousingDatawarehousing
Datawarehousingsumit621
 
20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.ppt20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.pptPalaniKumarR2
 
20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.ppt20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.pptSamPrem3
 
20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.ppt20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.pptSumathiG8
 
11667 Bitt I 2008 Lect4
11667 Bitt I 2008 Lect411667 Bitt I 2008 Lect4
11667 Bitt I 2008 Lect4ambujm
 
Etl data processing system which is very useful for the engineering students
Etl data processing system which is very useful for the engineering studentsEtl data processing system which is very useful for the engineering students
Etl data processing system which is very useful for the engineering studentsutsav25khel
 
DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSINGKing Julian
 
Data warehouse concepts
Data warehouse conceptsData warehouse concepts
Data warehouse conceptsobieefans
 
Metadata Repositories in Health Care - Master Data Management Approach to Met...
Metadata Repositories in Health Care - Master Data Management Approach to Met...Metadata Repositories in Health Care - Master Data Management Approach to Met...
Metadata Repositories in Health Care - Master Data Management Approach to Met...Health Informatics New Zealand
 
Date warehousing concepts
Date warehousing conceptsDate warehousing concepts
Date warehousing conceptspcherukumalla
 

Similar to Chapter 2-data-warehousingppt2517 vero (20)

Data Warehouse Basic Guide
Data Warehouse Basic GuideData Warehouse Basic Guide
Data Warehouse Basic Guide
 
Data warehouse
Data warehouseData warehouse
Data warehouse
 
Datawarehousing
DatawarehousingDatawarehousing
Datawarehousing
 
20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.ppt20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.ppt
 
Unit 1
Unit 1Unit 1
Unit 1
 
20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.ppt20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.ppt
 
20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.ppt20IT501_DWDM_PPT_Unit_I.ppt
20IT501_DWDM_PPT_Unit_I.ppt
 
Data Warehouse
Data WarehouseData Warehouse
Data Warehouse
 
Data Warehouse 101
Data Warehouse 101Data Warehouse 101
Data Warehouse 101
 
11667 Bitt I 2008 Lect4
11667 Bitt I 2008 Lect411667 Bitt I 2008 Lect4
11667 Bitt I 2008 Lect4
 
DW 101
DW 101DW 101
DW 101
 
Etl data processing system which is very useful for the engineering students
Etl data processing system which is very useful for the engineering studentsEtl data processing system which is very useful for the engineering students
Etl data processing system which is very useful for the engineering students
 
DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSING
 
Data Warehouse
Data Warehouse Data Warehouse
Data Warehouse
 
Data warehouse concepts
Data warehouse conceptsData warehouse concepts
Data warehouse concepts
 
Unit 3 part 2
Unit  3 part 2Unit  3 part 2
Unit 3 part 2
 
Data Mining
Data MiningData Mining
Data Mining
 
Oracle sql plsql & dw
Oracle sql plsql & dwOracle sql plsql & dw
Oracle sql plsql & dw
 
Metadata Repositories in Health Care - Master Data Management Approach to Met...
Metadata Repositories in Health Care - Master Data Management Approach to Met...Metadata Repositories in Health Care - Master Data Management Approach to Met...
Metadata Repositories in Health Care - Master Data Management Approach to Met...
 
Date warehousing concepts
Date warehousing conceptsDate warehousing concepts
Date warehousing concepts
 

Recently uploaded

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
 
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...apidays
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
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 WorkerThousandEyes
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
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
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
[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
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
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
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 

Recently uploaded (20)

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...
 
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...
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
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
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - 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...
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
[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
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
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
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 

Chapter 2-data-warehousingppt2517 vero