Watch this Fast Data Strategy Virtual Summit session with speakers Mano Vajpey, Managing Director, SimplicityBI & John Skier, Director Systems Integration, IBM here: https://goo.gl/Qf2zRW Today's complex organizations will often have hundreds if not thousands of data repositories, distributed across on-premises stores and now the cloud. For data to become truly democratized, non-specialists and data natives need to be able to easily find and access data without requiring outside help. Attend this session to discover: • Why organizations’ need to rethink the way they work with data • How a data marketplace facilitates a single access point for all of an organization's data assets • The role of data virtualization in enabling a data marketplace

1. #FastDataStrategy

2. Data Marketplace: Rethink the Data
John Skier
Director of Systems Integrations, IBM
Mano Vajpey
Founder and Data Virtualization Architect, SimplicityBI

3. Introduction
Connect with your data. 3

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

7. Marketplace App

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
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19. Thank you!
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