This part of the DV Primer will go over an introduction of Data Virtualization

1. DATA VIRTUALIZATIONDATA VIRTUALIZATION
PRIMERPRIMER
INTRODUCTI ONINTRODUCTI ON

2. 1. Introduction
2. The Concepts (SOAs, Data Services, Connectors, Models,
VDBs)
3. Architecture
4. On Premise Server Installation
5. JBDS and Integration Stack Installation
6. WebUI Installation
7. Teiid Designer - Using simple CSV/XML Datasources
(Teiid Project, Perspective, Federation, VDB)
8. JBoss Management Console
9. The WebUI
10. The Dashboard Builder
11. OData with VDB
12. JDBC Client
13. ODBC Client
14. DV on Openshift
15. DV on Containers (Docker)
SERIES 1 THE BASI CSSERIES 1 THE BASI CS

3. SE RIES 2 AND 3SE RIES 2 AND 3
Data Virtualization Primer Series 2 The Connectors (Planned)
Data Virtualization Primer Series 3 Solutions (Planned)
a. Big Data Example
b. IoT Example
c. Cloud Example
d. Mobile Example
e. JBoss Multi-product examples (Fuse/BPMS/BRMS/Feedhenry/DG)

4. WHAT IS IT?WHAT IS IT?
JBoss Data Virtualization offers comprehensive data abstraction,
federation, integration, transformation, and delivery capabilities to
combine data from one or multiple sources into reusable and unified
logical data models accessible thru standard SQL (JDBC, ODBC,
Hibernate) and/or web services (REST, OData, SOAP) interfaces for
agile data utilization and sharing.

5. Connect: Access data from
multiple, heterogeneous
data sources.
Compose: Easily create
reusable, business-
friendly logical data
models and views by
combining and
transforming data.
Consume: Make unified
data easily consumable
through open standard
interfaces.

6. DATA VIRTUALIZATION INCLUDESDATA VIRTUALIZATION INCLUDES
Tools for creating data views that are accessible through standard
protocols (the Teiid Designer plug-in for Red Hat JBoss Developer
Studio (JBDS)).
A robust runtime environment that provides enterprise-class
performance, data integrity, and security (the Red Hat JBoss Data
Virtualization Server, which executes as a process within the Red
Hat JBoss Enterprise Application Platform (EAP)).
A repository for storing metadata (ModeShape)
A WebUI (Developer Preview) to create your Data Services and
manage your Data Library

7. COMMUNITY P ROJECTSCOMMUNITY P ROJECTS
Teiid ( )
Teiid Designer ( )
ModeShape ( )
http://www.jboss.org/teiid
http://www.jboss.org/teiiddesigner
http://www.jboss.org/modeshape

8. DATA VIRTUALIZATION COMPONENTSDATA VIRTUALIZATION COMPONENTS

9. USE CASESUSE CASES
Strategic Initiative
Business Intelligence
360 Degree View
SOA Data Services
Security
Big Data
Cloud Data

10. DELIVER STRATEGIC TECHNOLOGYDELIVER STRATEGIC TECHNOLOGY
INITIATIVES WI TH AGILITYINITIATIVES WI TH AGILITY
Red Hat JBoss Data Virtualization lets users get the actionable,
unified information they want, the way they want it, and at the speed
their business needs it. Combined with ease of development, JBoss
Data Virtualization allows rapid delivery for a range of IT projects
and initiatives.

11. AGILE, SELF-SERVICE BUSINESSAGILE, SELF-SERVICE BUSINESS
INTE LLIGENCE (B I)INTE LLIGENCE (B I)
If your organization struggles with uncontrollable point-to-point
integration, you’ll benefit from JBoss Data Virtualization. By unifying
data access for analytics, JBoss Data Virtualization:
Simplifies data access.
Improves reuse.
Reduces change impact.
Achieves consistent semantics.

12. UNIFIED, 360° VIEWUNIFIED, 360° VIEW
Applications often need an aggregated view of data from master
data management (MDM), data warehouse (DW), and other online
transaction processing (OLTP) systems to gain a complete view of
data in real time.

13. AGILE SOA DATA SERVICESAGILE SOA DATA SERVICES
Data virtualization delivers the data services to SOA apps. It speeds
the creation of data services that encapsulate the data access logic,
and lets multiple business services acquire data from a centralized
data layer.

14. DATA FIREWALLDATA FIREWALL
Data virtualization provides reverse proxy access to data, keeping
physical data sources anonymous. This prevents unnecessary
exposure.
Get improved data quality via centralized access control, robust
security infrastructure, and a reduction in physical copies of data to
reduce risk.
A metadata repository catalogs enterprise data locations, and the
relationships between the data in various data stores provide
transparency and visibility.

15. BIG DATA INTEGRATIONBIG DATA INTEGRATION
More and more organizations have big data stored in Hadoop and
NoSQL systems. But most reporting and analytical tools can't access
those database servers, because most require an SQL interface. Data
virtualization provides the solution by masking these sources as SQL
tables.

16. CLOUD DATA INTEGRATIONCLOUD DATA INTEGRATION
Many organizations are adopting cloud computing that requires each
new cloud source to be integrated with the existing IT environment.
Data virtualization solves this problem, allowing enterprises to
maintain a complete view of internal and external information while
taking advantage of attractive cloud economics.

17. THANK YOU!THANK YOU!