SlideShare a Scribd company logo
IBM InfoSphere Data Architect
Francis Arnaudiès
f.arnaudies@fr.ibm.com
2Di
Frequently cited concerns
There’s no standardization of terminology and naming so there’s
constant confusion about what the business users want and what they
got when it is delivered.
No understanding of relationships between data objects repeatedly delays
projects. We need more automation of discovery and design tasks to
accelerate delivery.
Our data modeling environment is completely distinct from our other software
design and development tools so it is hard to share design artifacts and stay
in synch.
3Di
3
IBM InfoSphere Data Architect
Requirements
Benefits
Model, relate and standardize diverse
and distributed data assets
Data Architect
 Design and manage
enterprise models
 Enforce model
conformance to enterprise
standards
 Leverage industry data
models for best practices
 Optimize existing
investments
 Speed design activities
 Populate Business
Glossary from model
terms
 Validate models for
enterprise conformance
 Reverse engineer and
identify existing
warehouse schemas
4 Discovering the Value of
Based on the eclipse platform
 Intuitive
 Adaptable
 Shell Sharing
Allows Users to be Productive Faster
Application
Developer
Database
Developer
Database
Administrator
Data Architect
InfoSphere Data
Architect
Application Architect
RSA/RSM
IBM Data Studio
IBM Data Studio
5Di
5
An Enterprise Data Modelling Solution
■Enable flexible design
– Logical, physical and dimensional models
– Generate multiple physical models from a
single logical model
■Adopt best practices
– Validate models against enterprise
standards
■Leverage existing assets
– Forward engineer
– Reverse engineer
– Import from other modelling tools
■Collaborate across teams
– Decompose into sub-models
– Merge together
– Share a repository
Model, Relate, Standardize, Leverage, Collaborate
IDA – Key Modeling Functions
 Data Models
– Logical Model
– Physical Model
– Domain Model
– Glossary Model
– Mapping Model
 Heterogeneous Database support
 Visualize Design
 Model Validation
 Customized Data Type
 Naming Standards
A collaborative, data design solution to discover, model, relate, and
standardize diverse data assets.
7Di
Defining and Enforcing Standards
Increased Quality and Governance
■Naming
– Words, acronyms, and patterns
■Meaning
– Glossary
■Values
– Domain values or ranges
–Transformation
– Logical to physical
– Physical to logical
■Privileges
– Users, groups, roles
■Privacy
– Sensitive attributes
– Data masking rules
–Traceability
– Auditability
“InfoSphere Data Architect helped us to
semantically integrate all our critical data
sources and to design a business information
model within two weeks. Previously, this
process would have taken more than two and
one-half months.”
Large telecommunications company
Govern and Assure Compliance with Enterprise Standards and Rules
8Di
Manage Design Changes
Understand Changes and Promote - to Speed Up Implementation
• Compare & Synchronize
• Filtering capabilities
• Highlight changes after
synchronization
• Generate change reports
• Export changes
• Generate delta DDL
• Automate Model Management via pluglets
• Automate common tasks and tasks flows
• Execute tasks in bulk (batch mode)
• Customize existing product functions & add specialized
functionality
• 15 pre-defined pluglets for diagramming tasks, model
navigation and reporting
• Enables team collaboration
• Integrates with
Configuration Management
Systems like CVS, Rational
ClearCase and Rational
Team Concert
• Integrates with InfoSphere
Business Glossary to
collaborate terms
assignments between data
stewards and data
modelers
9 Discovering the Value of
Communicate/Reporting  Diagrams
– Overview
– Entity Relationship
– Dimensional Diagrams
– Storage
– DatabaseTopology
– Filter elements
– Shapes
– Notes
Simplify Analysis and Understanding
 Reporting
– Web publishing
– BIRT
– Audit Trail
– Report Design
– Report Templates
– Report creation template wizard
– Various Outputs:
• html
• PDF
• MS Appls (Excel,
Word,PPT)
 Open Source
– CVS
 IBM
– CCRC
– RTC
 Shared Objects:
– Projects
– Logical Models
• Submodels
– Physical Models
– Glossary Models
– Domain Models
– Mappings
– SQL Scripts
– Transfiguration Configuration files
Team Support - Source Control
CognosInfoSphere Warehouse
InfoSphere
Foundation Tools
Industry Data Models
InfoSphere
Business
Glossary
InfoSphere
Discovery
Information
Analyzer
Metadata
Workbench
InfoSphere Data Architect Integrations
Logical Models
Physical Models
Dimensional Models
Business Glossary Models
InfoSphere Data Architect
InfoSphere Optim Tools
Data
Studio
Optim
Designer
Rational & WebSphere
Rational
Software
Architect
WebSphere
Business
Modeler
Rational
ClearCase &
Rational Team Concert
Rational
Application
Developer
Align and Automate Design
Across Process, Service, Application, and Data
Rational Software Architect
InfoSphere Data Architect Data StudioWebSphere Business Modeler
XSD
UML
PDM
DATA
ARCHITECT
DATABASE
ADMINISTRATOR
INTEGRATION
DEVELOPER
SOLUTION
ARCHITECT
 Automate transformation
 Share repository
 Facilitate collaboration
 Maintain alignment
IBM InfoSphere Data Architect 9.1 - Francis Arnaudiès

More Related Content

What's hot

Data lake benefits
Data lake benefitsData lake benefits
Data lake benefitsRicky Barron
 
Building A Bi Strategy
Building A Bi StrategyBuilding A Bi Strategy
Building A Bi Strategylarryzagata
 
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google CloudVertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google CloudMárton Kodok
 
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...Naoki (Neo) SATO
 
Building Data Science Teams
Building Data Science TeamsBuilding Data Science Teams
Building Data Science TeamsEMC
 
Customer-Centric Data Management for Better Customer Experiences
Customer-Centric Data Management for Better Customer ExperiencesCustomer-Centric Data Management for Better Customer Experiences
Customer-Centric Data Management for Better Customer ExperiencesInformatica
 
Gartner: Master Data Management Functionality
Gartner: Master Data Management FunctionalityGartner: Master Data Management Functionality
Gartner: Master Data Management FunctionalityGartner
 
[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...
[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...
[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...DataScienceConferenc1
 
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
 
MLOps and Data Quality: Deploying Reliable ML Models in Production
MLOps and Data Quality: Deploying Reliable ML Models in ProductionMLOps and Data Quality: Deploying Reliable ML Models in Production
MLOps and Data Quality: Deploying Reliable ML Models in ProductionProvectus
 
Slides: Success Stories for Data-to-Cloud
Slides: Success Stories for Data-to-CloudSlides: Success Stories for Data-to-Cloud
Slides: Success Stories for Data-to-CloudDATAVERSITY
 
Maximize Greenplum For Any Use Cases Decoupling Compute and Storage - Greenpl...
Maximize Greenplum For Any Use Cases Decoupling Compute and Storage - Greenpl...Maximize Greenplum For Any Use Cases Decoupling Compute and Storage - Greenpl...
Maximize Greenplum For Any Use Cases Decoupling Compute and Storage - Greenpl...VMware Tanzu
 
Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)James Serra
 
Enterprise Content Management - Implementation Strategy
Enterprise Content Management - Implementation StrategyEnterprise Content Management - Implementation Strategy
Enterprise Content Management - Implementation StrategyShiva Hullavarad
 
Solution Architecture Framework
Solution Architecture FrameworkSolution Architecture Framework
Solution Architecture FrameworkFirmansyahIrma1
 

What's hot (20)

Data lake benefits
Data lake benefitsData lake benefits
Data lake benefits
 
Building A Bi Strategy
Building A Bi StrategyBuilding A Bi Strategy
Building A Bi Strategy
 
Alteryx Presentation
Alteryx PresentationAlteryx Presentation
Alteryx Presentation
 
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google CloudVertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
 
Data Mesh
Data MeshData Mesh
Data Mesh
 
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
 
Building Data Science Teams
Building Data Science TeamsBuilding Data Science Teams
Building Data Science Teams
 
Ml ops on AWS
Ml ops on AWSMl ops on AWS
Ml ops on AWS
 
Customer-Centric Data Management for Better Customer Experiences
Customer-Centric Data Management for Better Customer ExperiencesCustomer-Centric Data Management for Better Customer Experiences
Customer-Centric Data Management for Better Customer Experiences
 
Data Product Architectures
Data Product ArchitecturesData Product Architectures
Data Product Architectures
 
Gartner: Master Data Management Functionality
Gartner: Master Data Management FunctionalityGartner: Master Data Management Functionality
Gartner: Master Data Management Functionality
 
[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...
[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...
[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...
 
ITSM-ISMS
ITSM-ISMSITSM-ISMS
ITSM-ISMS
 
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
 
MLOps and Data Quality: Deploying Reliable ML Models in Production
MLOps and Data Quality: Deploying Reliable ML Models in ProductionMLOps and Data Quality: Deploying Reliable ML Models in Production
MLOps and Data Quality: Deploying Reliable ML Models in Production
 
Slides: Success Stories for Data-to-Cloud
Slides: Success Stories for Data-to-CloudSlides: Success Stories for Data-to-Cloud
Slides: Success Stories for Data-to-Cloud
 
Maximize Greenplum For Any Use Cases Decoupling Compute and Storage - Greenpl...
Maximize Greenplum For Any Use Cases Decoupling Compute and Storage - Greenpl...Maximize Greenplum For Any Use Cases Decoupling Compute and Storage - Greenpl...
Maximize Greenplum For Any Use Cases Decoupling Compute and Storage - Greenpl...
 
Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)
 
Enterprise Content Management - Implementation Strategy
Enterprise Content Management - Implementation StrategyEnterprise Content Management - Implementation Strategy
Enterprise Content Management - Implementation Strategy
 
Solution Architecture Framework
Solution Architecture FrameworkSolution Architecture Framework
Solution Architecture Framework
 

Viewers also liked

2013.12.12 big data heise webcast
2013.12.12 big data heise webcast2013.12.12 big data heise webcast
2013.12.12 big data heise webcastWilfried Hoge
 
IBM Cognos - IBM informations-integration för IBM Cognos användare
IBM Cognos - IBM informations-integration för IBM Cognos användareIBM Cognos - IBM informations-integration för IBM Cognos användare
IBM Cognos - IBM informations-integration för IBM Cognos användareIBM Sverige
 
InfoSphere_Information_Analyzer
InfoSphere_Information_AnalyzerInfoSphere_Information_Analyzer
InfoSphere_Information_AnalyzerSourav Maity
 
Installation and Setup for IBM InfoSphere Streams V4.0
Installation and Setup for IBM InfoSphere Streams V4.0Installation and Setup for IBM InfoSphere Streams V4.0
Installation and Setup for IBM InfoSphere Streams V4.0lisanl
 
Présentation IBM InfoSphere MDM 11.3
Présentation IBM InfoSphere MDM 11.3Présentation IBM InfoSphere MDM 11.3
Présentation IBM InfoSphere MDM 11.3IBMInfoSphereUGFR
 
IBM InfoSphere Stewardship Center for iis dqec
IBM InfoSphere Stewardship Center for iis dqecIBM InfoSphere Stewardship Center for iis dqec
IBM InfoSphere Stewardship Center for iis dqecIBMInfoSphereUGFR
 
Présentation IBM InfoSphere Information Server 11.3
Présentation IBM InfoSphere Information Server 11.3Présentation IBM InfoSphere Information Server 11.3
Présentation IBM InfoSphere Information Server 11.3IBMInfoSphereUGFR
 
Data Governance
Data GovernanceData Governance
Data GovernanceSambaSoup
 
Ibm data governance framework
Ibm data governance frameworkIbm data governance framework
Ibm data governance frameworkkaiyun7631
 
Data Governance Best Practices
Data Governance Best PracticesData Governance Best Practices
Data Governance Best PracticesBoris Otto
 
How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model DATUM LLC
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profilingShailja Khurana
 
Implementing Effective Data Governance
Implementing Effective Data GovernanceImplementing Effective Data Governance
Implementing Effective Data GovernanceChristopher Bradley
 

Viewers also liked (13)

2013.12.12 big data heise webcast
2013.12.12 big data heise webcast2013.12.12 big data heise webcast
2013.12.12 big data heise webcast
 
IBM Cognos - IBM informations-integration för IBM Cognos användare
IBM Cognos - IBM informations-integration för IBM Cognos användareIBM Cognos - IBM informations-integration för IBM Cognos användare
IBM Cognos - IBM informations-integration för IBM Cognos användare
 
InfoSphere_Information_Analyzer
InfoSphere_Information_AnalyzerInfoSphere_Information_Analyzer
InfoSphere_Information_Analyzer
 
Installation and Setup for IBM InfoSphere Streams V4.0
Installation and Setup for IBM InfoSphere Streams V4.0Installation and Setup for IBM InfoSphere Streams V4.0
Installation and Setup for IBM InfoSphere Streams V4.0
 
Présentation IBM InfoSphere MDM 11.3
Présentation IBM InfoSphere MDM 11.3Présentation IBM InfoSphere MDM 11.3
Présentation IBM InfoSphere MDM 11.3
 
IBM InfoSphere Stewardship Center for iis dqec
IBM InfoSphere Stewardship Center for iis dqecIBM InfoSphere Stewardship Center for iis dqec
IBM InfoSphere Stewardship Center for iis dqec
 
Présentation IBM InfoSphere Information Server 11.3
Présentation IBM InfoSphere Information Server 11.3Présentation IBM InfoSphere Information Server 11.3
Présentation IBM InfoSphere Information Server 11.3
 
Data Governance
Data GovernanceData Governance
Data Governance
 
Ibm data governance framework
Ibm data governance frameworkIbm data governance framework
Ibm data governance framework
 
Data Governance Best Practices
Data Governance Best PracticesData Governance Best Practices
Data Governance Best Practices
 
How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profiling
 
Implementing Effective Data Governance
Implementing Effective Data GovernanceImplementing Effective Data Governance
Implementing Effective Data Governance
 

Similar to IBM InfoSphere Data Architect 9.1 - Francis Arnaudiès

Bi an ia with sap sybase power designer
Bi an ia with sap sybase power designerBi an ia with sap sybase power designer
Bi an ia with sap sybase power designerJane Kitabayashi
 
Bi an ia with sap sybase power designer
Bi an ia with sap sybase power designerBi an ia with sap sybase power designer
Bi an ia with sap sybase power designerJane Kitabayashi
 
GraphSummit - Process Tempo - Build Graph Applications.pdf
GraphSummit - Process Tempo - Build Graph Applications.pdfGraphSummit - Process Tempo - Build Graph Applications.pdf
GraphSummit - Process Tempo - Build Graph Applications.pdfNeo4j
 
Mark Simpson - UKOUG23 - Refactoring Monolithic Oracle Database Applications ...
Mark Simpson - UKOUG23 - Refactoring Monolithic Oracle Database Applications ...Mark Simpson - UKOUG23 - Refactoring Monolithic Oracle Database Applications ...
Mark Simpson - UKOUG23 - Refactoring Monolithic Oracle Database Applications ...marksimpsongw
 
SPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDSSPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDSNicolas Georgeault
 
Success Story: Microsoft Deploys ER/Studio
Success Story: Microsoft Deploys ER/StudioSuccess Story: Microsoft Deploys ER/Studio
Success Story: Microsoft Deploys ER/StudioEmbarcadero Technologies
 
6. real time integration with odi 11g & golden gate 11g & dq 11g 20101103 -...
6. real time integration with odi 11g & golden gate 11g & dq 11g   20101103 -...6. real time integration with odi 11g & golden gate 11g & dq 11g   20101103 -...
6. real time integration with odi 11g & golden gate 11g & dq 11g 20101103 -...Doina Draganescu
 
Conceptual vs. Logical vs. Physical Data Modeling
Conceptual vs. Logical vs. Physical Data ModelingConceptual vs. Logical vs. Physical Data Modeling
Conceptual vs. Logical vs. Physical Data ModelingDATAVERSITY
 
How to transport PeopleSoft Crystal to BIP via automation_M.... (1).pptx
How to transport PeopleSoft Crystal to BIP via automation_M.... (1).pptxHow to transport PeopleSoft Crystal to BIP via automation_M.... (1).pptx
How to transport PeopleSoft Crystal to BIP via automation_M.... (1).pptxssuser225811
 
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?US-Analytics
 
Sakthi Shenbagam - Data warehousing Consultant
Sakthi Shenbagam - Data warehousing ConsultantSakthi Shenbagam - Data warehousing Consultant
Sakthi Shenbagam - Data warehousing ConsultantSakthi Shenbagam
 
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with Hadoop
Big Data Made Easy:  A Simple, Scalable Solution for Getting Started with HadoopBig Data Made Easy:  A Simple, Scalable Solution for Getting Started with Hadoop
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with HadoopPrecisely
 
ICP for Data- Enterprise platform for AI, ML and Data Science
ICP for Data- Enterprise platform for AI, ML and Data ScienceICP for Data- Enterprise platform for AI, ML and Data Science
ICP for Data- Enterprise platform for AI, ML and Data ScienceKaran Sachdeva
 
MDM & BI Strategy For Large Enterprises
MDM & BI Strategy For Large EnterprisesMDM & BI Strategy For Large Enterprises
MDM & BI Strategy For Large EnterprisesMark Schoeppel
 
2022 Trends in Enterprise Analytics
2022 Trends in Enterprise Analytics2022 Trends in Enterprise Analytics
2022 Trends in Enterprise AnalyticsDATAVERSITY
 
What Is Slowing My Application Releases?
What Is Slowing My Application Releases?What Is Slowing My Application Releases?
What Is Slowing My Application Releases?Datical
 
Data and Application Modernization in the Age of the Cloud
Data and Application Modernization in the Age of the CloudData and Application Modernization in the Age of the Cloud
Data and Application Modernization in the Age of the Cloudredmondpulver
 

Similar to IBM InfoSphere Data Architect 9.1 - Francis Arnaudiès (20)

Bi an ia with sap sybase power designer
Bi an ia with sap sybase power designerBi an ia with sap sybase power designer
Bi an ia with sap sybase power designer
 
Bi an ia with sap sybase power designer
Bi an ia with sap sybase power designerBi an ia with sap sybase power designer
Bi an ia with sap sybase power designer
 
GraphSummit - Process Tempo - Build Graph Applications.pdf
GraphSummit - Process Tempo - Build Graph Applications.pdfGraphSummit - Process Tempo - Build Graph Applications.pdf
GraphSummit - Process Tempo - Build Graph Applications.pdf
 
Mark Simpson - UKOUG23 - Refactoring Monolithic Oracle Database Applications ...
Mark Simpson - UKOUG23 - Refactoring Monolithic Oracle Database Applications ...Mark Simpson - UKOUG23 - Refactoring Monolithic Oracle Database Applications ...
Mark Simpson - UKOUG23 - Refactoring Monolithic Oracle Database Applications ...
 
SPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDSSPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDS
 
Success Story: Microsoft Deploys ER/Studio
Success Story: Microsoft Deploys ER/StudioSuccess Story: Microsoft Deploys ER/Studio
Success Story: Microsoft Deploys ER/Studio
 
6. real time integration with odi 11g & golden gate 11g & dq 11g 20101103 -...
6. real time integration with odi 11g & golden gate 11g & dq 11g   20101103 -...6. real time integration with odi 11g & golden gate 11g & dq 11g   20101103 -...
6. real time integration with odi 11g & golden gate 11g & dq 11g 20101103 -...
 
ER/Studio Data Architect Datasheet
ER/Studio Data Architect DatasheetER/Studio Data Architect Datasheet
ER/Studio Data Architect Datasheet
 
Resume Pallavi Mishra as of 2017 Feb
Resume Pallavi Mishra as of 2017 FebResume Pallavi Mishra as of 2017 Feb
Resume Pallavi Mishra as of 2017 Feb
 
Conceptual vs. Logical vs. Physical Data Modeling
Conceptual vs. Logical vs. Physical Data ModelingConceptual vs. Logical vs. Physical Data Modeling
Conceptual vs. Logical vs. Physical Data Modeling
 
How to transport PeopleSoft Crystal to BIP via automation_M.... (1).pptx
How to transport PeopleSoft Crystal to BIP via automation_M.... (1).pptxHow to transport PeopleSoft Crystal to BIP via automation_M.... (1).pptx
How to transport PeopleSoft Crystal to BIP via automation_M.... (1).pptx
 
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?
 
Sakthi Shenbagam - Data warehousing Consultant
Sakthi Shenbagam - Data warehousing ConsultantSakthi Shenbagam - Data warehousing Consultant
Sakthi Shenbagam - Data warehousing Consultant
 
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with Hadoop
Big Data Made Easy:  A Simple, Scalable Solution for Getting Started with HadoopBig Data Made Easy:  A Simple, Scalable Solution for Getting Started with Hadoop
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with Hadoop
 
ICP for Data- Enterprise platform for AI, ML and Data Science
ICP for Data- Enterprise platform for AI, ML and Data ScienceICP for Data- Enterprise platform for AI, ML and Data Science
ICP for Data- Enterprise platform for AI, ML and Data Science
 
Info sphere overview
Info sphere overviewInfo sphere overview
Info sphere overview
 
MDM & BI Strategy For Large Enterprises
MDM & BI Strategy For Large EnterprisesMDM & BI Strategy For Large Enterprises
MDM & BI Strategy For Large Enterprises
 
2022 Trends in Enterprise Analytics
2022 Trends in Enterprise Analytics2022 Trends in Enterprise Analytics
2022 Trends in Enterprise Analytics
 
What Is Slowing My Application Releases?
What Is Slowing My Application Releases?What Is Slowing My Application Releases?
What Is Slowing My Application Releases?
 
Data and Application Modernization in the Age of the Cloud
Data and Application Modernization in the Age of the CloudData and Application Modernization in the Age of the Cloud
Data and Application Modernization in the Age of the Cloud
 

More from IBMInfoSphereUGFR

Ibm leads way with hadoop and spark 2015 may 15
Ibm leads way with hadoop and spark 2015 may 15Ibm leads way with hadoop and spark 2015 may 15
Ibm leads way with hadoop and spark 2015 may 15IBMInfoSphereUGFR
 
IBM InfoSphere Data Replication Products
IBM InfoSphere Data Replication ProductsIBM InfoSphere Data Replication Products
IBM InfoSphere Data Replication ProductsIBMInfoSphereUGFR
 
Présentation IBM DB2 Blu - Fabrizio DANUSSO
Présentation IBM DB2 Blu - Fabrizio DANUSSOPrésentation IBM DB2 Blu - Fabrizio DANUSSO
Présentation IBM DB2 Blu - Fabrizio DANUSSOIBMInfoSphereUGFR
 
IBM InfoSphere MDM v11 Overview - Aomar BARIZ
IBM InfoSphere MDM v11 Overview - Aomar BARIZIBM InfoSphere MDM v11 Overview - Aomar BARIZ
IBM InfoSphere MDM v11 Overview - Aomar BARIZIBMInfoSphereUGFR
 
InfoSphere Streams Technical Overview - Use Cases Big Data - Jerome CHAILLOUX
InfoSphere Streams Technical Overview - Use Cases Big Data - Jerome CHAILLOUXInfoSphere Streams Technical Overview - Use Cases Big Data - Jerome CHAILLOUX
InfoSphere Streams Technical Overview - Use Cases Big Data - Jerome CHAILLOUXIBMInfoSphereUGFR
 
InfoSphere streams_technical_overview_infospherusergroup
InfoSphere streams_technical_overview_infospherusergroupInfoSphere streams_technical_overview_infospherusergroup
InfoSphere streams_technical_overview_infospherusergroupIBMInfoSphereUGFR
 
IBM MDM 10.1 What's New - Aomar Bariz
IBM MDM 10.1  What's New - Aomar BarizIBM MDM 10.1  What's New - Aomar Bariz
IBM MDM 10.1 What's New - Aomar BarizIBMInfoSphereUGFR
 

More from IBMInfoSphereUGFR (8)

Ibm leads way with hadoop and spark 2015 may 15
Ibm leads way with hadoop and spark 2015 may 15Ibm leads way with hadoop and spark 2015 may 15
Ibm leads way with hadoop and spark 2015 may 15
 
IBM Data lake
IBM Data lakeIBM Data lake
IBM Data lake
 
IBM InfoSphere Data Replication Products
IBM InfoSphere Data Replication ProductsIBM InfoSphere Data Replication Products
IBM InfoSphere Data Replication Products
 
Présentation IBM DB2 Blu - Fabrizio DANUSSO
Présentation IBM DB2 Blu - Fabrizio DANUSSOPrésentation IBM DB2 Blu - Fabrizio DANUSSO
Présentation IBM DB2 Blu - Fabrizio DANUSSO
 
IBM InfoSphere MDM v11 Overview - Aomar BARIZ
IBM InfoSphere MDM v11 Overview - Aomar BARIZIBM InfoSphere MDM v11 Overview - Aomar BARIZ
IBM InfoSphere MDM v11 Overview - Aomar BARIZ
 
InfoSphere Streams Technical Overview - Use Cases Big Data - Jerome CHAILLOUX
InfoSphere Streams Technical Overview - Use Cases Big Data - Jerome CHAILLOUXInfoSphere Streams Technical Overview - Use Cases Big Data - Jerome CHAILLOUX
InfoSphere Streams Technical Overview - Use Cases Big Data - Jerome CHAILLOUX
 
InfoSphere streams_technical_overview_infospherusergroup
InfoSphere streams_technical_overview_infospherusergroupInfoSphere streams_technical_overview_infospherusergroup
InfoSphere streams_technical_overview_infospherusergroup
 
IBM MDM 10.1 What's New - Aomar Bariz
IBM MDM 10.1  What's New - Aomar BarizIBM MDM 10.1  What's New - Aomar Bariz
IBM MDM 10.1 What's New - Aomar Bariz
 

Recently uploaded

GraphAware - Transforming policing with graph-based intelligence analysis
GraphAware - Transforming policing with graph-based intelligence analysisGraphAware - Transforming policing with graph-based intelligence analysis
GraphAware - Transforming policing with graph-based intelligence analysisNeo4j
 
Enhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdfEnhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
 
A Comprehensive Appium Guide for Hybrid App Automation Testing.pdf
A Comprehensive Appium Guide for Hybrid App Automation Testing.pdfA Comprehensive Appium Guide for Hybrid App Automation Testing.pdf
A Comprehensive Appium Guide for Hybrid App Automation Testing.pdfkalichargn70th171
 
Breaking the Code : A Guide to WhatsApp Business API.pdf
Breaking the Code : A Guide to WhatsApp Business API.pdfBreaking the Code : A Guide to WhatsApp Business API.pdf
Breaking the Code : A Guide to WhatsApp Business API.pdfMeon Technology
 
Cyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdfCyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
 
Understanding Globus Data Transfers with NetSage
Understanding Globus Data Transfers with NetSageUnderstanding Globus Data Transfers with NetSage
Understanding Globus Data Transfers with NetSageGlobus
 
BoxLang: Review our Visionary Licenses of 2024
BoxLang: Review our Visionary Licenses of 2024BoxLang: Review our Visionary Licenses of 2024
BoxLang: Review our Visionary Licenses of 2024Ortus Solutions, Corp
 
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital TransformationWSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital TransformationWSO2
 
AI/ML Infra Meetup | Perspective on Deep Learning Framework
AI/ML Infra Meetup | Perspective on Deep Learning FrameworkAI/ML Infra Meetup | Perspective on Deep Learning Framework
AI/ML Infra Meetup | Perspective on Deep Learning FrameworkAlluxio, Inc.
 
Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...
Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...
Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...rajkumar669520
 
2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptxGeorgi Kodinov
 
Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024Globus
 
AI/ML Infra Meetup | ML explainability in Michelangelo
AI/ML Infra Meetup | ML explainability in MichelangeloAI/ML Infra Meetup | ML explainability in Michelangelo
AI/ML Infra Meetup | ML explainability in MichelangeloAlluxio, Inc.
 
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamOpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
 
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
 
Using IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandUsing IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandIES VE
 
Designing for Privacy in Amazon Web Services
Designing for Privacy in Amazon Web ServicesDesigning for Privacy in Amazon Web Services
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
 
AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG
AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAGAI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG
AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAGAlluxio, Inc.
 
SOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
 

Recently uploaded (20)

Corporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMSCorporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMS
 
GraphAware - Transforming policing with graph-based intelligence analysis
GraphAware - Transforming policing with graph-based intelligence analysisGraphAware - Transforming policing with graph-based intelligence analysis
GraphAware - Transforming policing with graph-based intelligence analysis
 
Enhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdfEnhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdf
 
A Comprehensive Appium Guide for Hybrid App Automation Testing.pdf
A Comprehensive Appium Guide for Hybrid App Automation Testing.pdfA Comprehensive Appium Guide for Hybrid App Automation Testing.pdf
A Comprehensive Appium Guide for Hybrid App Automation Testing.pdf
 
Breaking the Code : A Guide to WhatsApp Business API.pdf
Breaking the Code : A Guide to WhatsApp Business API.pdfBreaking the Code : A Guide to WhatsApp Business API.pdf
Breaking the Code : A Guide to WhatsApp Business API.pdf
 
Cyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdfCyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdf
 
Understanding Globus Data Transfers with NetSage
Understanding Globus Data Transfers with NetSageUnderstanding Globus Data Transfers with NetSage
Understanding Globus Data Transfers with NetSage
 
BoxLang: Review our Visionary Licenses of 2024
BoxLang: Review our Visionary Licenses of 2024BoxLang: Review our Visionary Licenses of 2024
BoxLang: Review our Visionary Licenses of 2024
 
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital TransformationWSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
 
AI/ML Infra Meetup | Perspective on Deep Learning Framework
AI/ML Infra Meetup | Perspective on Deep Learning FrameworkAI/ML Infra Meetup | Perspective on Deep Learning Framework
AI/ML Infra Meetup | Perspective on Deep Learning Framework
 
Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...
Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...
Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...
 
2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx
 
Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024
 
AI/ML Infra Meetup | ML explainability in Michelangelo
AI/ML Infra Meetup | ML explainability in MichelangeloAI/ML Infra Meetup | ML explainability in Michelangelo
AI/ML Infra Meetup | ML explainability in Michelangelo
 
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamOpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
 
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
 
Using IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandUsing IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New Zealand
 
Designing for Privacy in Amazon Web Services
Designing for Privacy in Amazon Web ServicesDesigning for Privacy in Amazon Web Services
Designing for Privacy in Amazon Web Services
 
AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG
AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAGAI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG
AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG
 
SOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBroker
 

IBM InfoSphere Data Architect 9.1 - Francis Arnaudiès

  • 1. IBM InfoSphere Data Architect Francis Arnaudiès f.arnaudies@fr.ibm.com
  • 2. 2Di Frequently cited concerns There’s no standardization of terminology and naming so there’s constant confusion about what the business users want and what they got when it is delivered. No understanding of relationships between data objects repeatedly delays projects. We need more automation of discovery and design tasks to accelerate delivery. Our data modeling environment is completely distinct from our other software design and development tools so it is hard to share design artifacts and stay in synch.
  • 3. 3Di 3 IBM InfoSphere Data Architect Requirements Benefits Model, relate and standardize diverse and distributed data assets Data Architect  Design and manage enterprise models  Enforce model conformance to enterprise standards  Leverage industry data models for best practices  Optimize existing investments  Speed design activities  Populate Business Glossary from model terms  Validate models for enterprise conformance  Reverse engineer and identify existing warehouse schemas
  • 4. 4 Discovering the Value of Based on the eclipse platform  Intuitive  Adaptable  Shell Sharing Allows Users to be Productive Faster Application Developer Database Developer Database Administrator Data Architect InfoSphere Data Architect Application Architect RSA/RSM IBM Data Studio IBM Data Studio
  • 5. 5Di 5 An Enterprise Data Modelling Solution ■Enable flexible design – Logical, physical and dimensional models – Generate multiple physical models from a single logical model ■Adopt best practices – Validate models against enterprise standards ■Leverage existing assets – Forward engineer – Reverse engineer – Import from other modelling tools ■Collaborate across teams – Decompose into sub-models – Merge together – Share a repository Model, Relate, Standardize, Leverage, Collaborate
  • 6. IDA – Key Modeling Functions  Data Models – Logical Model – Physical Model – Domain Model – Glossary Model – Mapping Model  Heterogeneous Database support  Visualize Design  Model Validation  Customized Data Type  Naming Standards A collaborative, data design solution to discover, model, relate, and standardize diverse data assets.
  • 7. 7Di Defining and Enforcing Standards Increased Quality and Governance ■Naming – Words, acronyms, and patterns ■Meaning – Glossary ■Values – Domain values or ranges –Transformation – Logical to physical – Physical to logical ■Privileges – Users, groups, roles ■Privacy – Sensitive attributes – Data masking rules –Traceability – Auditability “InfoSphere Data Architect helped us to semantically integrate all our critical data sources and to design a business information model within two weeks. Previously, this process would have taken more than two and one-half months.” Large telecommunications company Govern and Assure Compliance with Enterprise Standards and Rules
  • 8. 8Di Manage Design Changes Understand Changes and Promote - to Speed Up Implementation • Compare & Synchronize • Filtering capabilities • Highlight changes after synchronization • Generate change reports • Export changes • Generate delta DDL • Automate Model Management via pluglets • Automate common tasks and tasks flows • Execute tasks in bulk (batch mode) • Customize existing product functions & add specialized functionality • 15 pre-defined pluglets for diagramming tasks, model navigation and reporting • Enables team collaboration • Integrates with Configuration Management Systems like CVS, Rational ClearCase and Rational Team Concert • Integrates with InfoSphere Business Glossary to collaborate terms assignments between data stewards and data modelers
  • 9. 9 Discovering the Value of Communicate/Reporting  Diagrams – Overview – Entity Relationship – Dimensional Diagrams – Storage – DatabaseTopology – Filter elements – Shapes – Notes Simplify Analysis and Understanding  Reporting – Web publishing – BIRT – Audit Trail – Report Design – Report Templates – Report creation template wizard – Various Outputs: • html • PDF • MS Appls (Excel, Word,PPT)
  • 10.  Open Source – CVS  IBM – CCRC – RTC  Shared Objects: – Projects – Logical Models • Submodels – Physical Models – Glossary Models – Domain Models – Mappings – SQL Scripts – Transfiguration Configuration files Team Support - Source Control
  • 11. CognosInfoSphere Warehouse InfoSphere Foundation Tools Industry Data Models InfoSphere Business Glossary InfoSphere Discovery Information Analyzer Metadata Workbench InfoSphere Data Architect Integrations Logical Models Physical Models Dimensional Models Business Glossary Models InfoSphere Data Architect InfoSphere Optim Tools Data Studio Optim Designer Rational & WebSphere Rational Software Architect WebSphere Business Modeler Rational ClearCase & Rational Team Concert Rational Application Developer
  • 12. Align and Automate Design Across Process, Service, Application, and Data Rational Software Architect InfoSphere Data Architect Data StudioWebSphere Business Modeler XSD UML PDM DATA ARCHITECT DATABASE ADMINISTRATOR INTEGRATION DEVELOPER SOLUTION ARCHITECT  Automate transformation  Share repository  Facilitate collaboration  Maintain alignment