SlideShare ist ein Scribd-Unternehmen logo
1 von 25
Yogesh Benawat Sameer Deshmukh
Outline ,[object Object],[object Object],[object Object],[object Object]
Historical Perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Mining
Definition ,[object Object],[object Object],[object Object]
Why we need data mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Mining Models ,[object Object],[object Object]
Predictive Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Descriptive Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data mining process Fig. General Phases of Data Mining Process Problem Definition Creating Database Exploring database Preparation for creating a data mining model Building Data Mining Model Evaluation Phase Deploying the Data Mining model
Who needs data mining? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object]
Data Warehousing
Data Warehousing  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehousing  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Warehouses are Very Large Databases 35% 30% 25% 20% 15% 10% 5% 0% 5GB 5-9GB 10-19GB 50-99GB 250-499GB 20-49GB 100-249GB 500GB-1TB Initial Projected 2Q96 Source: META Group, Inc. Respondents
Data Warehousing  ,[object Object]
Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary  ,[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object]
References  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Q ‘n’ A
Thank You!

Weitere ähnliche Inhalte

Was ist angesagt?

Data warehousing
Data warehousingData warehousing
Data warehousingVarun Jain
 
Enterprise Data Lake - Scalable Digital
Enterprise Data Lake - Scalable DigitalEnterprise Data Lake - Scalable Digital
Enterprise Data Lake - Scalable Digitalsambiswal
 
introduction to data warehousing and mining
 introduction to data warehousing and mining introduction to data warehousing and mining
introduction to data warehousing and miningRajesh Chandra
 
Big Data Day LA 2015 - Data Lake - Re Birth of Enterprise Data Thinking by Ra...
Big Data Day LA 2015 - Data Lake - Re Birth of Enterprise Data Thinking by Ra...Big Data Day LA 2015 - Data Lake - Re Birth of Enterprise Data Thinking by Ra...
Big Data Day LA 2015 - Data Lake - Re Birth of Enterprise Data Thinking by Ra...Data Con LA
 
Prcn 2019 stage 1264-question-presentation_poster file_id-15
Prcn 2019 stage 1264-question-presentation_poster file_id-15Prcn 2019 stage 1264-question-presentation_poster file_id-15
Prcn 2019 stage 1264-question-presentation_poster file_id-15madynav
 
Business intelligence and data warehousing
Business intelligence and data warehousingBusiness intelligence and data warehousing
Business intelligence and data warehousingOZ Assignment help
 
Are You Killing the Benefits of Your Data Lake?
Are You Killing the Benefits of Your Data Lake?Are You Killing the Benefits of Your Data Lake?
Are You Killing the Benefits of Your Data Lake?Denodo
 
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBData Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBDenodo
 
Real World Business Intelligence and Data Warehousing
Real World Business Intelligence and Data WarehousingReal World Business Intelligence and Data Warehousing
Real World Business Intelligence and Data Warehousingukc4
 
data warehouse , data mart, etl
data warehouse , data mart, etldata warehouse , data mart, etl
data warehouse , data mart, etlAashish Rathod
 
Introduction To Data Warehousing
Introduction To Data WarehousingIntroduction To Data Warehousing
Introduction To Data WarehousingAlex Meadows
 
Performance Acceleration: Summaries, Recommendation, MPP and more
Performance Acceleration: Summaries, Recommendation, MPP and morePerformance Acceleration: Summaries, Recommendation, MPP and more
Performance Acceleration: Summaries, Recommendation, MPP and moreDenodo
 
Building a Big Data Solution
Building a Big Data SolutionBuilding a Big Data Solution
Building a Big Data SolutionJames Serra
 
Splunk Business Analytics
Splunk Business AnalyticsSplunk Business Analytics
Splunk Business AnalyticsCleverDATA
 
Big Data and Data Virtualization
Big Data and Data VirtualizationBig Data and Data Virtualization
Big Data and Data VirtualizationKenneth Peeples
 
Understanding Metadata: Why it's essential to your big data solution and how ...
Understanding Metadata: Why it's essential to your big data solution and how ...Understanding Metadata: Why it's essential to your big data solution and how ...
Understanding Metadata: Why it's essential to your big data solution and how ...Zaloni
 
DW Appliance
DW ApplianceDW Appliance
DW ApplianceShankar R
 
An introduction to data virtualization in business intelligence
An introduction to data virtualization in business intelligenceAn introduction to data virtualization in business intelligence
An introduction to data virtualization in business intelligenceDavid Walker
 
How to Build a Smart Data Lake Using Semantics
How to Build a Smart Data Lake Using SemanticsHow to Build a Smart Data Lake Using Semantics
How to Build a Smart Data Lake Using SemanticsCambridge Semantics
 

Was ist angesagt? (20)

Data warehousing
Data warehousingData warehousing
Data warehousing
 
Enterprise Data Lake - Scalable Digital
Enterprise Data Lake - Scalable DigitalEnterprise Data Lake - Scalable Digital
Enterprise Data Lake - Scalable Digital
 
Data Warehouse
Data WarehouseData Warehouse
Data Warehouse
 
introduction to data warehousing and mining
 introduction to data warehousing and mining introduction to data warehousing and mining
introduction to data warehousing and mining
 
Big Data Day LA 2015 - Data Lake - Re Birth of Enterprise Data Thinking by Ra...
Big Data Day LA 2015 - Data Lake - Re Birth of Enterprise Data Thinking by Ra...Big Data Day LA 2015 - Data Lake - Re Birth of Enterprise Data Thinking by Ra...
Big Data Day LA 2015 - Data Lake - Re Birth of Enterprise Data Thinking by Ra...
 
Prcn 2019 stage 1264-question-presentation_poster file_id-15
Prcn 2019 stage 1264-question-presentation_poster file_id-15Prcn 2019 stage 1264-question-presentation_poster file_id-15
Prcn 2019 stage 1264-question-presentation_poster file_id-15
 
Business intelligence and data warehousing
Business intelligence and data warehousingBusiness intelligence and data warehousing
Business intelligence and data warehousing
 
Are You Killing the Benefits of Your Data Lake?
Are You Killing the Benefits of Your Data Lake?Are You Killing the Benefits of Your Data Lake?
Are You Killing the Benefits of Your Data Lake?
 
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBData Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
 
Real World Business Intelligence and Data Warehousing
Real World Business Intelligence and Data WarehousingReal World Business Intelligence and Data Warehousing
Real World Business Intelligence and Data Warehousing
 
data warehouse , data mart, etl
data warehouse , data mart, etldata warehouse , data mart, etl
data warehouse , data mart, etl
 
Introduction To Data Warehousing
Introduction To Data WarehousingIntroduction To Data Warehousing
Introduction To Data Warehousing
 
Performance Acceleration: Summaries, Recommendation, MPP and more
Performance Acceleration: Summaries, Recommendation, MPP and morePerformance Acceleration: Summaries, Recommendation, MPP and more
Performance Acceleration: Summaries, Recommendation, MPP and more
 
Building a Big Data Solution
Building a Big Data SolutionBuilding a Big Data Solution
Building a Big Data Solution
 
Splunk Business Analytics
Splunk Business AnalyticsSplunk Business Analytics
Splunk Business Analytics
 
Big Data and Data Virtualization
Big Data and Data VirtualizationBig Data and Data Virtualization
Big Data and Data Virtualization
 
Understanding Metadata: Why it's essential to your big data solution and how ...
Understanding Metadata: Why it's essential to your big data solution and how ...Understanding Metadata: Why it's essential to your big data solution and how ...
Understanding Metadata: Why it's essential to your big data solution and how ...
 
DW Appliance
DW ApplianceDW Appliance
DW Appliance
 
An introduction to data virtualization in business intelligence
An introduction to data virtualization in business intelligenceAn introduction to data virtualization in business intelligence
An introduction to data virtualization in business intelligence
 
How to Build a Smart Data Lake Using Semantics
How to Build a Smart Data Lake Using SemanticsHow to Build a Smart Data Lake Using Semantics
How to Build a Smart Data Lake Using Semantics
 

Ähnlich wie Data Mining and Data Warehousing

Data Warehouse and Data Mining
Data Warehouse and Data MiningData Warehouse and Data Mining
Data Warehouse and Data MiningRanak Ghosh
 
Dwdmunit1 a
Dwdmunit1 aDwdmunit1 a
Dwdmunit1 abhagathk
 
Big Data Session 1.pptx
Big Data Session 1.pptxBig Data Session 1.pptx
Big Data Session 1.pptxElsonPaul2
 
Lect 1 introduction
Lect 1 introductionLect 1 introduction
Lect 1 introductionhktripathy
 
Introduction to data mining and data warehousing
Introduction to data mining and data warehousingIntroduction to data mining and data warehousing
Introduction to data mining and data warehousingEr. Nawaraj Bhandari
 
Big data by Mithlesh sadh
Big data by Mithlesh sadhBig data by Mithlesh sadh
Big data by Mithlesh sadhMithlesh Sadh
 
Data Mining mod1 ppt.pdf bca sixth semester notes
Data Mining mod1 ppt.pdf bca sixth semester notesData Mining mod1 ppt.pdf bca sixth semester notes
Data Mining mod1 ppt.pdf bca sixth semester notesasnaparveen414
 
01Introduction to data mining chapter 1.ppt
01Introduction to data mining chapter 1.ppt01Introduction to data mining chapter 1.ppt
01Introduction to data mining chapter 1.pptadmsoyadm4
 
Datawarehousing
DatawarehousingDatawarehousing
Datawarehousingwork
 
Introduction to dm and dw
Introduction to dm and dwIntroduction to dm and dw
Introduction to dm and dwANUSUYA T K
 

Ähnlich wie Data Mining and Data Warehousing (20)

Data Warehouse and Data Mining
Data Warehouse and Data MiningData Warehouse and Data Mining
Data Warehouse and Data Mining
 
dwdm unit 1.ppt
dwdm unit 1.pptdwdm unit 1.ppt
dwdm unit 1.ppt
 
Dwdmunit1 a
Dwdmunit1 aDwdmunit1 a
Dwdmunit1 a
 
Big Data Session 1.pptx
Big Data Session 1.pptxBig Data Session 1.pptx
Big Data Session 1.pptx
 
Abstract
AbstractAbstract
Abstract
 
Lect 1 introduction
Lect 1 introductionLect 1 introduction
Lect 1 introduction
 
Introduction to data mining and data warehousing
Introduction to data mining and data warehousingIntroduction to data mining and data warehousing
Introduction to data mining and data warehousing
 
Big data by Mithlesh sadh
Big data by Mithlesh sadhBig data by Mithlesh sadh
Big data by Mithlesh sadh
 
Chapter 1. Introduction.ppt
Chapter 1. Introduction.pptChapter 1. Introduction.ppt
Chapter 1. Introduction.ppt
 
Data Mining mod1 ppt.pdf bca sixth semester notes
Data Mining mod1 ppt.pdf bca sixth semester notesData Mining mod1 ppt.pdf bca sixth semester notes
Data Mining mod1 ppt.pdf bca sixth semester notes
 
2. olap warehouse
2. olap warehouse2. olap warehouse
2. olap warehouse
 
Data mining notes
Data mining notesData mining notes
Data mining notes
 
Presentation on Big Data
Presentation on Big DataPresentation on Big Data
Presentation on Big Data
 
Data Mining Intro
Data Mining IntroData Mining Intro
Data Mining Intro
 
data mining
data miningdata mining
data mining
 
01Intro.ppt
01Intro.ppt01Intro.ppt
01Intro.ppt
 
01Introduction to data mining chapter 1.ppt
01Introduction to data mining chapter 1.ppt01Introduction to data mining chapter 1.ppt
01Introduction to data mining chapter 1.ppt
 
01Intro.ppt
01Intro.ppt01Intro.ppt
01Intro.ppt
 
Datawarehousing
DatawarehousingDatawarehousing
Datawarehousing
 
Introduction to dm and dw
Introduction to dm and dwIntroduction to dm and dw
Introduction to dm and dw
 

Kürzlich hochgeladen

Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 

Kürzlich hochgeladen (20)

Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 

Data Mining and Data Warehousing

  • 2.
  • 3.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Data mining process Fig. General Phases of Data Mining Process Problem Definition Creating Database Exploring database Preparation for creating a data mining model Building Data Mining Model Evaluation Phase Deploying the Data Mining model
  • 11.
  • 12.
  • 13.
  • 15.
  • 16.
  • 17.
  • 18. Warehouses are Very Large Databases 35% 30% 25% 20% 15% 10% 5% 0% 5GB 5-9GB 10-19GB 50-99GB 250-499GB 20-49GB 100-249GB 500GB-1TB Initial Projected 2Q96 Source: META Group, Inc. Respondents
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.