SlideShare a Scribd company logo
#FastDataStrategy
Data Marketplace: Rethink the Data
John Skier
Director of Systems Integrations, IBM
Mano Vajpey
Founder and Data Virtualization Architect, SimplicityBI
Introduction
Connect with your data. 3
Agile data access for effective business analytics
Data Management
Strategy
Business Intelligence
Solutions
Data Virtualization
Implementations
Integrating
Data Assets
4
Why a Marketplace?
▪ Single point to discover and access data
▪ User centric experience
▪ Place to showcase the work we do and promote data
sharing
▪ Empower more users by helping them find and access
data
▪ Publicize team and elevate portfolio to assist in getting
data
▪ Ability to browse
▪ Lower the barrier to entry to using data
▪ Expose data context and metadata to users
5
What Denodo Solves for Us
▪ Agile development environment to combine data
across multiple sources
▪ Security & Permissions
▪ Monitoring and Audit
▪ Abstraction layer, hides complexity and physical
location
▪ Simple data provision for data services
▪ Stores some metadata attributes
▪ A place to put common data models
▪ Powerful tooling for advanced users
▪ Additional relationship capability
6
Marketplace App
7.0 Dynamic Data Catalog
8
✓ Search, Discover – Google-like search for data and
metadata.
✓ Explore – View the graphical representation of semantic
models and preview datasets.
✓ Share and Collaborate – Share datasets and collaborate
with other users.
✓ Personalize - Create personalized datasets using advanced
query wizard.
✓ Enhanced UI – Business-friendly user interface geared to
roles such as data stewards, data analysts, and citizen
analysts.
© 2016 IBM Corporation
IBM Integrated Analytics System
John Skier
Offering Management, Hybrid Data, Analytics, partner enablement
March , 2018
jskier@us.bm.com
Next Generation Appliance – Maintain Core Values
PureData System for Analytics
World’s First
Data Warehouse
Appliance
World’s First
100 TB Data
Warehouse
Appliance
World’s First
Petabyte Data
Warehouse
Appliance
World’s First
Analytic Data
Warehouse
Appliance
NPS®
8000 Series
TwinFin™ with i-Class™
Advanced Analytics
NPS®
10000 Series
TwinFin™
2003 2006 2009 2010 2012 2014 2017+
World’s fastest and
“greenest” analytical
platform
PureData System for
Analytics N2000
-Reduced administration
-Performance portal
-Lower end starting point
-More scale-out
PureData System for
Analytics N3000
IBM Integrated
Analytics System
A Common SQL Engine enabling true HYBRID data store solutions for all workload types
Common SQL Engine – Business Value
Application compatibility: Write once, run anywhere
Operational compatibility: Re-use operational and administrative
procedures
Leverage existing skills: Leverage a common set of development,
management and administrative skills
Flexible Licensing: Leverage the Data Management Bundle for flexible
deployment allocations and shifts
Db2 [Warehouse]
On Cloud
Managed Public
Cloud Service
IBM Integrated
Analytics System
On-premises
Appliance
Big SQL
Hadoop / Spark
Environment
Db2 Hosted
On-premises
Private Cloud
Db2
On-premises
Custom Software
IBM
Db2
Db2 Event Store
Event Store
NEWNEW
Db2 Warehouse
Db2 OLTP
Hosted Public
Cloud Service
Investment Protection
▪ Integration: Ability to access data from all data sources, both
IBM data stores and non-IBM data stores
▪ Ecosystem: One ISV product certification for all platforms –
test once, certify all
▪ Standardized API: Common programming model for systems
of engagement, systems of record and systems of insight
Denodo – Application Support
APPLICATIONS
Applications, Tools, Languages
Db2 [Warehouse]
On Cloud
Managed Public
Cloud Service
IBM Integrated
Analytics System
On-premises
Appliance
Big SQL
Hadoop / Spark
Environment
Db2 Hosted
On-premises
Private Cloud
Db2
On-premises
Custom Software
IBM
Db2
Db2 Event Store
Event Store
NEWNEW
Db2 Warehouse
Db2 OLTP
Hosted Public
Cloud Service
Curt Cotner 2012 FerrariownsCar
Curt Cotner 123 Maple Ave, ChicagoownsHouse
Curt Cotner 2001 ThunderjetownsBoat
Db2
Big Data
Analytics
SocialMobileCloud137.343
38.825
0
20
40
60
80
100
120
140
160
Jena TDB DB2 Graph Store
Seconds
{
"firstName": "John",
"lastName" : "Smith",
"age" : 25,
"address" :
{
"streetAddress": "21 2nd Street",
"city" : "New York",
"state" : "NY",
"postalCode" : "10021"
},
"phoneNumber":
[
{
"type" : "home",
"number": "212 555-1234"
},
{
"type" : "fax",
"number": "646 555-4567"
}
]
}
Common SQL Engine – SQL and NoSQL Capabilities
IIAS - Common SQL Engine – Data Virtualization
Applications
This image shows only a subset
of all supported data sources
You can leverage any of the
above offerings as a federation
server
High performance Enterprise readiness Heterogeneity
High functionalityOracle compatibility
IBM
Db2
Db2
Its not about Cloud or On-Premises its about Cloud AND
On-Premises
It’s About Hybrid
IBM’s Data Management Strategy is Hybrid
Its not about Traditional Relational or Open Source its
about Traditional Relational AND Open Source
Its not about SQL or NoSQL its about SQL AND NoSQL
Its not about Structured or Unstructured Data its about
Structured AND Unstructured Data
M O D E R A T E D B Y
17
Mano Vajpey
Founder and Data Virtualization Architect ,
SimplicityBI
John Skier
Director of Systems Integration, IBM
Saptarshi Sengupta
Principal Product Marketing Manager
Data Marketplace: Rethink the Data
Q&A
19
DOWNLOAD DENODO
EXPRESS
DENODO FOR AWS DENODO FOR AZURE
Download Denodo Express
Next Steps
Access Denodo Platform in the cloud!
30 day free trial available!
Thank you!
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written
authorization from Denodo Technologies.
#FastDataStrategy

More Related Content

What's hot

Data Mesh
Data MeshData Mesh
Data Governance and Metadata Management
Data Governance and Metadata ManagementData Governance and Metadata Management
Data Governance and Metadata Management
DATAVERSITY
 
Building Your Enterprise Data Marketplace with DMX-h
Building Your Enterprise Data Marketplace with DMX-hBuilding Your Enterprise Data Marketplace with DMX-h
Building Your Enterprise Data Marketplace with DMX-h
Precisely
 
Data Quality & Data Governance
Data Quality & Data GovernanceData Quality & Data Governance
Data Quality & Data Governance
Tuba Yaman Him
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
DATAVERSITY
 
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
How to Use a Semantic Layer to Deliver Actionable Insights at ScaleHow to Use a Semantic Layer to Deliver Actionable Insights at Scale
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
DATAVERSITY
 
The Analytics and Data Science Landscape
The Analytics and Data Science LandscapeThe Analytics and Data Science Landscape
The Analytics and Data Science Landscape
Philip Bourne
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profiling
Shailja Khurana
 
Data Federation
Data FederationData Federation
Data Federation
Stephen Lahanas
 
Data modeling for the business
Data modeling for the businessData modeling for the business
Data modeling for the business
Christopher Bradley
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
DATAVERSITY
 
‏‏‏‏‏‏‏‏‏‏Chapter 12: Data Quality Management
‏‏‏‏‏‏‏‏‏‏Chapter 12: Data Quality Management‏‏‏‏‏‏‏‏‏‏Chapter 12: Data Quality Management
‏‏‏‏‏‏‏‏‏‏Chapter 12: Data Quality Management
Ahmed Alorage
 
Data platform architecture
Data platform architectureData platform architecture
Data platform architecture
Sudheer Kondla
 
CRISP-DM: a data science project methodology
CRISP-DM: a data science project methodologyCRISP-DM: a data science project methodology
CRISP-DM: a data science project methodology
Sergey Shelpuk
 
Big Data: It’s all about the Use Cases
Big Data: It’s all about the Use CasesBig Data: It’s all about the Use Cases
Big Data: It’s all about the Use Cases
James Serra
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
DATAVERSITY
 
Master Data Management's Place in the Data Governance Landscape
Master Data Management's Place in the Data Governance Landscape Master Data Management's Place in the Data Governance Landscape
Master Data Management's Place in the Data Governance Landscape
CCG
 
Data Quality for Non-Data People
Data Quality for Non-Data PeopleData Quality for Non-Data People
Data Quality for Non-Data People
DATAVERSITY
 
Data Lake Architecture
Data Lake ArchitectureData Lake Architecture
Data Lake Architecture
DATAVERSITY
 
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball Approach
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball ApproachMicrosoft Data Warehouse Business Intelligence Lifecycle - The Kimball Approach
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball Approach
Mark Ginnebaugh
 

What's hot (20)

Data Mesh
Data MeshData Mesh
Data Mesh
 
Data Governance and Metadata Management
Data Governance and Metadata ManagementData Governance and Metadata Management
Data Governance and Metadata Management
 
Building Your Enterprise Data Marketplace with DMX-h
Building Your Enterprise Data Marketplace with DMX-hBuilding Your Enterprise Data Marketplace with DMX-h
Building Your Enterprise Data Marketplace with DMX-h
 
Data Quality & Data Governance
Data Quality & Data GovernanceData Quality & Data Governance
Data Quality & Data Governance
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
 
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
How to Use a Semantic Layer to Deliver Actionable Insights at ScaleHow to Use a Semantic Layer to Deliver Actionable Insights at Scale
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
 
The Analytics and Data Science Landscape
The Analytics and Data Science LandscapeThe Analytics and Data Science Landscape
The Analytics and Data Science Landscape
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profiling
 
Data Federation
Data FederationData Federation
Data Federation
 
Data modeling for the business
Data modeling for the businessData modeling for the business
Data modeling for the business
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
 
‏‏‏‏‏‏‏‏‏‏Chapter 12: Data Quality Management
‏‏‏‏‏‏‏‏‏‏Chapter 12: Data Quality Management‏‏‏‏‏‏‏‏‏‏Chapter 12: Data Quality Management
‏‏‏‏‏‏‏‏‏‏Chapter 12: Data Quality Management
 
Data platform architecture
Data platform architectureData platform architecture
Data platform architecture
 
CRISP-DM: a data science project methodology
CRISP-DM: a data science project methodologyCRISP-DM: a data science project methodology
CRISP-DM: a data science project methodology
 
Big Data: It’s all about the Use Cases
Big Data: It’s all about the Use CasesBig Data: It’s all about the Use Cases
Big Data: It’s all about the Use Cases
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
 
Master Data Management's Place in the Data Governance Landscape
Master Data Management's Place in the Data Governance Landscape Master Data Management's Place in the Data Governance Landscape
Master Data Management's Place in the Data Governance Landscape
 
Data Quality for Non-Data People
Data Quality for Non-Data PeopleData Quality for Non-Data People
Data Quality for Non-Data People
 
Data Lake Architecture
Data Lake ArchitectureData Lake Architecture
Data Lake Architecture
 
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball Approach
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball ApproachMicrosoft Data Warehouse Business Intelligence Lifecycle - The Kimball Approach
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball Approach
 

Similar to Data Marketplace - Rethink the Data

¿Cómo modernizar una arquitectura de TI con la virtualización de datos?
¿Cómo modernizar una arquitectura de TI con la virtualización de datos?¿Cómo modernizar una arquitectura de TI con la virtualización de datos?
¿Cómo modernizar una arquitectura de TI con la virtualización de datos?
Denodo
 
Fast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow PresentationFast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow Presentation
Denodo
 
A Key to Real-time Insights in a Post-COVID World (ASEAN)
A Key to Real-time Insights in a Post-COVID World (ASEAN)A Key to Real-time Insights in a Post-COVID World (ASEAN)
A Key to Real-time Insights in a Post-COVID World (ASEAN)
Denodo
 
Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)
Denodo
 
Self Service Analytics and a Modern Data Architecture with Data Virtualizatio...
Self Service Analytics and a Modern Data Architecture with Data Virtualizatio...Self Service Analytics and a Modern Data Architecture with Data Virtualizatio...
Self Service Analytics and a Modern Data Architecture with Data Virtualizatio...
Denodo
 
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Denodo
 
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Denodo
 
Data Virtualization for Data Architects (New Zealand)
Data Virtualization for Data Architects (New Zealand)Data Virtualization for Data Architects (New Zealand)
Data Virtualization for Data Architects (New Zealand)
Denodo
 
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data LakesData Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
Denodo
 
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...
Denodo
 
Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure
Abhimanyu Singhal
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategy
James Serra
 
Data Virtualization. An Introduction (ASEAN)
Data Virtualization. An Introduction (ASEAN)Data Virtualization. An Introduction (ASEAN)
Data Virtualization. An Introduction (ASEAN)
Denodo
 
Why Data Virtualization? An Introduction
Why Data Virtualization? An IntroductionWhy Data Virtualization? An Introduction
Why Data Virtualization? An Introduction
Denodo
 
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
DATAVERSITY
 
How to Place Data at the Center of Digital Transformation in BFSI
How to Place Data at the Center of Digital Transformation in BFSIHow to Place Data at the Center of Digital Transformation in BFSI
How to Place Data at the Center of Digital Transformation in BFSI
Denodo
 
Sudhir Rawat, Sr Techonology Evangelist at Microsoft SQL Business Intelligenc...
Sudhir Rawat, Sr Techonology Evangelist at Microsoft SQL Business Intelligenc...Sudhir Rawat, Sr Techonology Evangelist at Microsoft SQL Business Intelligenc...
Sudhir Rawat, Sr Techonology Evangelist at Microsoft SQL Business Intelligenc...
Dataconomy Media
 
Best Practices in the Cloud for Data Management (US)
Best Practices in the Cloud for Data Management (US)Best Practices in the Cloud for Data Management (US)
Best Practices in the Cloud for Data Management (US)
Denodo
 
Connecting Silos in Real Time with Data Virtualization
Connecting Silos in Real Time with Data VirtualizationConnecting Silos in Real Time with Data Virtualization
Connecting Silos in Real Time with Data Virtualization
Denodo
 
Data Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroData Virtualization: From Zero to Hero
Data Virtualization: From Zero to Hero
Denodo
 

Similar to Data Marketplace - Rethink the Data (20)

¿Cómo modernizar una arquitectura de TI con la virtualización de datos?
¿Cómo modernizar una arquitectura de TI con la virtualización de datos?¿Cómo modernizar una arquitectura de TI con la virtualización de datos?
¿Cómo modernizar una arquitectura de TI con la virtualización de datos?
 
Fast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow PresentationFast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow Presentation
 
A Key to Real-time Insights in a Post-COVID World (ASEAN)
A Key to Real-time Insights in a Post-COVID World (ASEAN)A Key to Real-time Insights in a Post-COVID World (ASEAN)
A Key to Real-time Insights in a Post-COVID World (ASEAN)
 
Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)
 
Self Service Analytics and a Modern Data Architecture with Data Virtualizatio...
Self Service Analytics and a Modern Data Architecture with Data Virtualizatio...Self Service Analytics and a Modern Data Architecture with Data Virtualizatio...
Self Service Analytics and a Modern Data Architecture with Data Virtualizatio...
 
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
 
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
 
Data Virtualization for Data Architects (New Zealand)
Data Virtualization for Data Architects (New Zealand)Data Virtualization for Data Architects (New Zealand)
Data Virtualization for Data Architects (New Zealand)
 
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data LakesData Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
 
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...
 
Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategy
 
Data Virtualization. An Introduction (ASEAN)
Data Virtualization. An Introduction (ASEAN)Data Virtualization. An Introduction (ASEAN)
Data Virtualization. An Introduction (ASEAN)
 
Why Data Virtualization? An Introduction
Why Data Virtualization? An IntroductionWhy Data Virtualization? An Introduction
Why Data Virtualization? An Introduction
 
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
 
How to Place Data at the Center of Digital Transformation in BFSI
How to Place Data at the Center of Digital Transformation in BFSIHow to Place Data at the Center of Digital Transformation in BFSI
How to Place Data at the Center of Digital Transformation in BFSI
 
Sudhir Rawat, Sr Techonology Evangelist at Microsoft SQL Business Intelligenc...
Sudhir Rawat, Sr Techonology Evangelist at Microsoft SQL Business Intelligenc...Sudhir Rawat, Sr Techonology Evangelist at Microsoft SQL Business Intelligenc...
Sudhir Rawat, Sr Techonology Evangelist at Microsoft SQL Business Intelligenc...
 
Best Practices in the Cloud for Data Management (US)
Best Practices in the Cloud for Data Management (US)Best Practices in the Cloud for Data Management (US)
Best Practices in the Cloud for Data Management (US)
 
Connecting Silos in Real Time with Data Virtualization
Connecting Silos in Real Time with Data VirtualizationConnecting Silos in Real Time with Data Virtualization
Connecting Silos in Real Time with Data Virtualization
 
Data Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroData Virtualization: From Zero to Hero
Data Virtualization: From Zero to Hero
 

More from Denodo

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Denodo
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
Denodo
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
Denodo
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
Denodo
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Denodo
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
Denodo
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
Denodo
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Denodo
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!
Denodo
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
Denodo
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Denodo
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Denodo
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
Denodo
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Denodo
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
Denodo
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
Denodo
 

More from Denodo (20)

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
 

Recently uploaded

在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
v7oacc3l
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
nuttdpt
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
jerlynmaetalle
 
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Aggregage
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
Bill641377
 
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
bopyb
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
roli9797
 
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicineIntelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
AndrzejJarynowski
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
manishkhaire30
 
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
74nqk8xf
 
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataPredictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Kiwi Creative
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
aqzctr7x
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
nuttdpt
 
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
zsjl4mimo
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
javier ramirez
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Social Samosa
 
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
g4dpvqap0
 
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
Timothy Spann
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
sameer shah
 

Recently uploaded (20)

在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
 
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
 
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
 
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicineIntelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
 
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
 
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataPredictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
 
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
 
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
 
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
 

Data Marketplace - Rethink the Data

  • 2. Data Marketplace: Rethink the Data John Skier Director of Systems Integrations, IBM Mano Vajpey Founder and Data Virtualization Architect, SimplicityBI
  • 4. Agile data access for effective business analytics Data Management Strategy Business Intelligence Solutions Data Virtualization Implementations Integrating Data Assets 4
  • 5. Why a Marketplace? ▪ Single point to discover and access data ▪ User centric experience ▪ Place to showcase the work we do and promote data sharing ▪ Empower more users by helping them find and access data ▪ Publicize team and elevate portfolio to assist in getting data ▪ Ability to browse ▪ Lower the barrier to entry to using data ▪ Expose data context and metadata to users 5
  • 6. What Denodo Solves for Us ▪ Agile development environment to combine data across multiple sources ▪ Security & Permissions ▪ Monitoring and Audit ▪ Abstraction layer, hides complexity and physical location ▪ Simple data provision for data services ▪ Stores some metadata attributes ▪ A place to put common data models ▪ Powerful tooling for advanced users ▪ Additional relationship capability 6
  • 8. 7.0 Dynamic Data Catalog 8 ✓ Search, Discover – Google-like search for data and metadata. ✓ Explore – View the graphical representation of semantic models and preview datasets. ✓ Share and Collaborate – Share datasets and collaborate with other users. ✓ Personalize - Create personalized datasets using advanced query wizard. ✓ Enhanced UI – Business-friendly user interface geared to roles such as data stewards, data analysts, and citizen analysts.
  • 9. © 2016 IBM Corporation IBM Integrated Analytics System John Skier Offering Management, Hybrid Data, Analytics, partner enablement March , 2018 jskier@us.bm.com
  • 10. Next Generation Appliance – Maintain Core Values PureData System for Analytics World’s First Data Warehouse Appliance World’s First 100 TB Data Warehouse Appliance World’s First Petabyte Data Warehouse Appliance World’s First Analytic Data Warehouse Appliance NPS® 8000 Series TwinFin™ with i-Class™ Advanced Analytics NPS® 10000 Series TwinFin™ 2003 2006 2009 2010 2012 2014 2017+ World’s fastest and “greenest” analytical platform PureData System for Analytics N2000 -Reduced administration -Performance portal -Lower end starting point -More scale-out PureData System for Analytics N3000 IBM Integrated Analytics System
  • 11. A Common SQL Engine enabling true HYBRID data store solutions for all workload types Common SQL Engine – Business Value Application compatibility: Write once, run anywhere Operational compatibility: Re-use operational and administrative procedures Leverage existing skills: Leverage a common set of development, management and administrative skills Flexible Licensing: Leverage the Data Management Bundle for flexible deployment allocations and shifts Db2 [Warehouse] On Cloud Managed Public Cloud Service IBM Integrated Analytics System On-premises Appliance Big SQL Hadoop / Spark Environment Db2 Hosted On-premises Private Cloud Db2 On-premises Custom Software IBM Db2 Db2 Event Store Event Store NEWNEW Db2 Warehouse Db2 OLTP Hosted Public Cloud Service Investment Protection ▪ Integration: Ability to access data from all data sources, both IBM data stores and non-IBM data stores ▪ Ecosystem: One ISV product certification for all platforms – test once, certify all ▪ Standardized API: Common programming model for systems of engagement, systems of record and systems of insight
  • 12. Denodo – Application Support APPLICATIONS Applications, Tools, Languages Db2 [Warehouse] On Cloud Managed Public Cloud Service IBM Integrated Analytics System On-premises Appliance Big SQL Hadoop / Spark Environment Db2 Hosted On-premises Private Cloud Db2 On-premises Custom Software IBM Db2 Db2 Event Store Event Store NEWNEW Db2 Warehouse Db2 OLTP Hosted Public Cloud Service
  • 13. Curt Cotner 2012 FerrariownsCar Curt Cotner 123 Maple Ave, ChicagoownsHouse Curt Cotner 2001 ThunderjetownsBoat Db2 Big Data Analytics SocialMobileCloud137.343 38.825 0 20 40 60 80 100 120 140 160 Jena TDB DB2 Graph Store Seconds { "firstName": "John", "lastName" : "Smith", "age" : 25, "address" : { "streetAddress": "21 2nd Street", "city" : "New York", "state" : "NY", "postalCode" : "10021" }, "phoneNumber": [ { "type" : "home", "number": "212 555-1234" }, { "type" : "fax", "number": "646 555-4567" } ] } Common SQL Engine – SQL and NoSQL Capabilities
  • 14. IIAS - Common SQL Engine – Data Virtualization Applications This image shows only a subset of all supported data sources You can leverage any of the above offerings as a federation server High performance Enterprise readiness Heterogeneity High functionalityOracle compatibility IBM Db2 Db2
  • 15. Its not about Cloud or On-Premises its about Cloud AND On-Premises It’s About Hybrid IBM’s Data Management Strategy is Hybrid Its not about Traditional Relational or Open Source its about Traditional Relational AND Open Source Its not about SQL or NoSQL its about SQL AND NoSQL Its not about Structured or Unstructured Data its about Structured AND Unstructured Data
  • 16. M O D E R A T E D B Y 17 Mano Vajpey Founder and Data Virtualization Architect , SimplicityBI John Skier Director of Systems Integration, IBM Saptarshi Sengupta Principal Product Marketing Manager Data Marketplace: Rethink the Data
  • 17. Q&A
  • 18. 19 DOWNLOAD DENODO EXPRESS DENODO FOR AWS DENODO FOR AZURE Download Denodo Express Next Steps Access Denodo Platform in the cloud! 30 day free trial available!
  • 19. Thank you! © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies. #FastDataStrategy