Free the Data Data-as-a-Service in Mission Critical Environments (QBE The Query-Based-Enterprise )

Transcription

1 Free the Data Data-as-a-Service in Mission Critical Environments (QBE The Query-Based-Enterprise ) Rudi Chati, Senior SOA modernization/integration architect Unisys TCIS Global Services

2 Data Source Virtualization high level Logical data source silo

3 Logical and Physical Data Source topology Logical data source silo 2011 Unisys Corporation. All rights reserved. 4

4 Logical Data Source use via a Virtualized Layer Applications operate on virtual elements defining the domain in which the organization operates. Logical Virtualized Access to VDB JDBC-SQL like The logical and physical layers are bound statically during modeling or dynamically using rules. Administrators can change physical data sources without affecting existing applications Physical Metadata Virtual Metadata Physical Data Store Logical Data Sources Metadata repository no payload data Physical Data Sources

5 Conceptual, Logical and Physical Models use a three-stage approach delivering, in turn, a conceptual, logical and physical model. This means we can: more easily trace the reasons for a design decision. defer some details of the design until they are needed, giving us time to gather information and explore possibilities. use representation methods and techniques appropriate to the different participants in each stage. establish reference points if the implementation environment changes (especially performance influences)

6 DVL layers taxonomy Implementation scheme and steps Abstract Models (MDA-based) Abstract & formal models define access to information sources and existing or future business functionality Information Consumers Run-Time Metadata 5 Access Design-Time Metadata 2 Model Virtual Database T 4 Deploy T T 3 Pre-aggregate (static relations) 5 Access 1 Model Information Sources DBs, WS, files, etc. Information Sources DBs, WS, files, etc.

7 Data Services Virtualization Layer critical to reaping the benefits related to the meaning, structure and business interaction of the required data - is the optimum Analysis Understanding Modeling Application Scope, goal of an investigation prototype : business case analysts and IT staff alike will assess high priority benefits selected from the promised land understanding the underlying (i.e. logical) data requirement rather than making decisions about its physical implementation. focus on the above aspects when defining the logical Data Source access service

8 Views & data sources physical and logical view Business services / queries layer LDM-service, DVL-services UI UI UI UI Mediation / transformation services layer Access services to the physical layer (LDM-svcs, DVL-connectors) Materialized views (when volume dictates ) Logical layer DMS&RDMS-A1 DMS&RDMS-A2 Oracle-D2 OtherDS (LDAP, etc.) Physical layer DMS&RDMS-B1 DMS&RDMS-C1 Oracle-D2

9 JBoss EDSP: DVL-services

10 Virtualized DB Layer QBE Script GUI Query tool Application GUI Logical Virtualized Access to VDB JDBC-SQL like organization operates. TEIID-JDBC-CONN TEIID-LDAP-CONN Sharepoint-CONN TEIID-WS-CONN TEIID-JCA-CONN MEGA LDM Sparx EA DDL output DDL script Virtual New App Metadata Designer import TEIID Runtime JBoss AS TEIID-JMS-CONN Container Physical Metadata LA PoC work Oracle JDBC DS Oracle Payload Oracle Data Payload Data LDAP DS Operational DS (LDAP DB) Sharepoint DS WS-Server AS Container COM+/JEE App-1 URL/WSDL DS OpenTI DTPRA JCA-DTPRA Mainframe Services DTPRA JMS App-2 Physical SOA Software ND Data Sources Operational DS (Sharepoint) DMS2200 RDMS2200 Payload Data

11 RedHat JBoss EDSP (aka MetaMatrix/TEIID) MDM & SOA Synergies any data from any source in any environment

12 TIBCO CIM MDM & DaaS usage for Master Data Management Application Data-as-a-Service (DaaS)

13 TIBCO CIM MDM & SOA Synergies

14 Materializing the benefits Extensible Framework Flexibility to develop new applications Federated metadata map of all information Supports any data source and type Foundation for Business intelligence Improved Visibility Aggregated data visibility across DS sources Single API to all information Increased Speed Reduced Costs Faster application deployment times through re-use in aggregation and orchestration for new business cases Uniform access method to disparate information Reduced total cost of integration per project

15 Consumers Results Services Tasks CPF meets your IT goals 1 Modernization Services high level milestones Prepare the infrastructure Cost Assessment & Appraisal Integration & Automation Phased iterative approach Implementation Prototyping New ROI & TCO Evaluation Decisions Flexible & Agile application services Deployment & Lifecycle maintenance related PaaS IaaS SaaS DaaS GaaS Sec-aaS Service Repository ESB Business Process & Rules Receive Order Auth Valid Error Process Order SOA Page 19

16 CPF meets your IT goals 2 Modernization Services high level SaaS topology IaaS Flexible application services Deployment & Lifecycle maintenance related SaaS DaaS GaaS Sec-aaS Metadata Repository Service Registry SOA CP & Specialty Engines Page 20

17 Your IT does benefit using our CPF enrichment Deploy practices and tools needed for making business decisions Guaranteeing an uncompromised security (access, non-repudiation, non-tempering, etc) Rapid (near)real-time accessing of data source information, (existing or new DS internal or external) Rapid adapt to changes of internal and external regulations Highest degree of agility, flexibility in re-use in re-aggregate for new logic or processes RETAIN EXPAND MODERNIZE CLEARPATH FORWARD ACQUIRE Page 21

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19 MEGA data model any data from any source in any environment

20 Virtual DB Model exported from MEGA - excerpt

21 Application Component Definition of the VDB SQL execution on logical table

22 JBoss Contents - Virtual DB components