tech oracle data integrator_new1
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<Insert Picture Here>
Oracle Data Integrator – Technical DeckMark PareSr. Sales ConsultantOracle Higher Education
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<Insert Picture Here>• 4 Key Differentiators• Architecture• 6 Steps to Production• ODI or ESB?• Popular Usage Scenarios
Agenda
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Oracle Data Integrator
4 Key Differentiators
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Data IntegrationData
WarehousingMaster DataManagement
Real TimeMessaging
FederationMigration
Data in Disparate Sources
ERP
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CRM
- - -
Legacy
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Best-of-breed Applications
Information How and Where you Want It
Business IntelligenceCorporate Performance
ManagementBusiness Activity
MonitoringBusiness Process
Management
HAVE…
NEED…
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DataSynchronization
Why Data Integration?
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Challenges & Emerging SolutionsIn Data Integration
CHALLENGE EMERGING SOLUTION
1. Increasing data volumes;decreasing batch windows
2. Non-integrated integration
3. Complexity, manual effort ofconventional ETL design
4. Lack of knowledge capture
Shift from E-T-L to E-LT
Convergence of integrationsolutions
Shift from custom coding todeclarative design
Shift to pattern-driven development
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Oracle Data Integrator
• Data Movement and Transformation from MultipleSources to Heterogeneous Targets
1. Per formance : Heterogeneous “E -LT” 2. Flexibi l i ty : Active Integration Platform3. Product iv i ty : Declarative Design4. Hot-Pluggable : Knowledge Modules
BENEFITS KEY DIFFERENTIATED FEATURES
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Different ia tor : E-LT ArchitectureHigh Performance
Conventional ETL Architecture
Extract LoadTransform
Next Generation Architecture
“ E-LT ” LoadExtract
Transform Transform
Transform in Separate ETL Server• Proprietary Engine• Poor Performance• High Costs• IBM & Informatica ’ s approach
Transform in Existing RDBMS• Leverage Resources• Efficient• High Performance
BenefitsOptimal Performance & ScalabilityEasier to Manage & Lower Cost
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Enables real-time data warehousing and operational data hubsServices plug into Oracle SOA Suite for comprehensive integration
Oracle Data Integrator
Data-oriented Integration
Event Conductor
Event-orientedIntegration
Service Conductor
Service-orientedIntegration
Declarative Design
Metadata
Data Conductor
Differentiator : Active IntegrationBatch, Event-based, and Service-oriented Integration
• Evolve from Batch to NearReal-time Warehousing onCommon Platform
• Unify the Silos of DataIntegration
• Data Integrity on the Fly• Services Plug into Oracle
SOA Suite
• Benefits
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Differentiator : Declarative DesignDeveloper Productivity
Conventional ETL DesignSpecify ETL Data Flow Graph• Developer must define every step of
Complex ETL Flow Logic• Traditional approach requires specialized
ETL skills• And significant development and
maintenance efforts
Declarative Set-based Design• Simplifies the number of steps• Automatically generates the Data Flow
whatever the sources and target DB• Example: [SALAH]
Benefits Significantly reduce the learning curve Shorter implementation times Streamline access to non-IT pros
ODI Declarative Design
Define How : Built-in Templates
DefineWhat
You Want
AutomaticallyGenerateDataflow
1 2
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JournalizeRead from CDC
Source
LoadFrom Sources to
Staging
CheckConstraints before
Load
IntegrateTransform and Move
to Targets
ServiceExpose Data andTransformation
Services
ReverseEngineer Metadata
Tailor to existing best practicesEase administration workReduce cost of ownership
Reverse
Journalize
Load
Check
IntegrateServices
Pluggable Knowledge Modules Architecture
CDC
Sources
Staging Tables
Error Tables
Target Tables
WS
WS W
S
SAP/R3
Siebel
Log Miner
DB2 Journals
SQL ServerTriggers
OracleDBLink
DB2 Exp/Imp
JMS Queues Check MSExcel
CheckSybase
OracleSQL*Loader
TPump/Multiload
Type II SCD
Oracle Merge
Siebel EIMSchema
Oracle WebServices
DB2 WebServices
Sample out-of-the-box Knowledge Modules
Benefits
Differentiator : Knowledge ModulesHot-Pluggable: Modular, Flexible, Extensible
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Oracle Data IntegratorArchitecture
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• Java design-timeenvironment
• Runs on any platform• Thin client for browsing
Metadata
• Java runtime environment• Runs on any platform• Orchestrates the execution of
data flows
• Metadata repository• Pluggable on many RDBMS• Ready for deployment• Modular and extensible
metadata
Design-Time
Metadata Management
Runtime
Agent
Data FlowConductor
Service Interfaces and Developer APIs
UserInterfaces
ThinClient
Data FlowGenerator
Knowledge ModuleInterpreter
Knowledge Modules
MasterRepository
WorkRepositories
RuntimeRepositories
Data FlowGenerator
RuntimeSession
Interpreter
Data Flow
Operator
Designer
Architecture: Conceptual View
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Architecture: Component View
ODI Design-Time Environment Development Servers andApplications
Design-timeRepositories
Code Execution
Execution Log Return Codes
AgentData FlowConductor
CRM
LegacyERP
DataWarehouse
Files /XML
User Interfaces
Administrators
Designers
Topology/Security
Metadata/Rules
Development
ESB
Production Servers andApplications
ODI Runtime Environment
Runtime
Repository Return Codes
Code
Execution Log
Execution
MetadataNavigator
Production
CRM
LegacyERP
Data
Warehouse
Files /XML
ESB
User Interfaces
Administrators
Operators
Thin Client
Data Stewarts
Topology/Security
Execution Log
Metadata Lineage
Agent
Data FlowConductor
Scenariosand ProjectsReleases
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Oracle Data Integrator6 steps to Production
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ODI Design-Time Environment ODI Runtime Environment
User Interfaces
Overview: 6 steps to Production
1. Retrieve/Enrich metadata
2. Design transformations3. Orchestrate data flows
4. Generate/Deploy data flows
5. Monitor executions6. Analyze impact / data lineage
Development
Development Servers and Applications
AgentData FlowConductor
CRM
Legacy
ERP
DataWarehouse
Files / XML
User Interfaces
Administrators
Designers
ESB
Design-timeRepositoriesDesign-time
Repositories
Production
Production Servers and Applications
AgentData FlowConductor
CRM
Legacy
ERP
DataWarehouse
Files / XML
Operator
MetadataNavigator
ESB
RuntimeRepository
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1. Reverse-engineer Metadata• Automatic• Customizable• 40+ technologies supported
2. Enrich Metadata• Documentation• Declarative rules for Data
Integrity• Cross-technologies references
Design-Time Environment
ODI Designer
Design-timeRepositories
Development Serversand Applications
CRM
Legacy
ERP DataWarehouse
Files / XML
ESB
Retrieve/Enrich Metadata1
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Oracle Data Integrator“Interface”
Declarative Design
1Define What You Want
3Automatically GenerateData flows
2 Define How to Do It: Select Template
Bulk Load • Changed Data Capture • Incremental Update • Slowly Changing Dimension
Design Transformations2
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1. Sequence Transformations
2. Leverage OracleDI Tools• Data Quality Processes• Files/Archives Management• Send/Receive Emails• Web Services Invokation• Event Detection• Create your Own Tools
3. Use Control Structures• Loops• Conditions• Error Handling
3 Orchestrate Data Flows
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1. Create Scenarios•
Compile Data Flows for Run-time2. Version the Data Flows
• Advanced Version Management
3. Deploy to ProductionDesign-timeRepositories
Scenariosand ProjectsReleases
RuntimeRepository
Generate and Deploy Data Flows4
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Analyze impact / data lineage
• Maintain a large number of
data flows in a complexenvironment
• Web-based end-to-end datalineage1. Understand your data flows2. Follow the path of data3. Drill-down to transformations
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Oracle Data IntegratorODI or ESB?
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What tool is best suited for task X?
Requirement ESB
ODI Recommended
Latency / VolumeSynchronous Integration ESB
Asynchronous Integration with routing and transformation ESB
Asynchronous Integration for Active Data Warehousing (mini-batch) ODI
Batch Integration with High Volume ODI
TransformationsIn-memory XSLT Transformations (XML to XML) ESB
Transformations in App Server ESB
Transformations in Database (E-LT) ODI
Integration TopologyData Warehouse Loading (E-LT) ODI
JMS to JMS ESB
JMS to DB/App with routing and transformation (real-time or synchronous) ESB
JMS to DB/App with bulk transformation (mini-batch) ODI
DB/App to DB/App (batch or mini-batch with CDC) ODI
DB/App to DB/App (synchronous or real-time with CDC Adapters) ESB…
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Oracle Data Integrator
ESB and ODI in real-life scenarios
Data VolumeProcessing
DataLatency
Message byMessage
Mini Batches Large Volume(over 1M)
Synchronous(immediate)
Asynchronous
Batch(over 2 hours)
Oracle Enterprise Service Bus
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Oracle Data IntegratorExtended Capabilities
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Extended Capabilities
• Master Data Management enabled• Common Format Designer• Automated generation of canonical format and transformations• Built-in Data Integrity
• Real-time enabled• Changed Data Capture• Message Oriented Integration (JMS)
• SOA enabled• Generation of Data Services• Generation of Transformation Services
• Extensibility• Knowledge Modules Framework• Scripting Languages• Open Tools
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Oracle Data IntegratorMaster Data Management Enabled
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MDM Enabled: Canonical Format Design
• Use in conjunction withpackaged MDM solution
• Design and PopulateCanonical Format1. Use existing metadata artifacts
to design MDM application(entities, fields, relationships)
2. Generate and maintain MasterData structure
3. Generate and deploytransformations using metadataartifacts
CRM
Enterprise Service Bus
SCM Legacy ERP
Master Data
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MDM Enabled: Built-in Data Integrity
• Data Integrity Firewall
• Auditing, cleansing andrecycling
1. Declare constraints at tablelevel
2. Design mappings and checkflow integrity
3. Audit, cleanse or recyclerejected records
Message Id Name CityDuplicated Record 001 John Doe New YorkDuplicated Record 022 John Doe BostonInvalid City Reference 230 Albert Fresh Maris
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Oracle Data IntegratorReal-time Enabled
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Real-time enabled: Changed Data Capture
• Publish and Subscribe CDC
Framework• Database logs• Triggers• Third-tier solutions
• Ensures “read” transactionintegrity across multipletables
1. Design or generate Mappings
2. Select Journalized Data Only
3. Start Journals
CDC
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Real-time enabled: Message OrientedIntegration
• Connect to Publish and
Subscribe JMS MessageProviders• Ensure messages delivery
with transaction integrity• High-volume bulk
transformations1. Design complex bulk
transformations mixing Queues,Databases and Applications
2. Use JMS Queues and topics assources or targets
JMS Provider(MOM, ESB)
CDC
Subscribe
Publish
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Oracle Data IntegratorSOA Enabled
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SOA Enabled: Data Access Services
• Generate and share data
access services1. Generate and deploy data services2. Test data services3. Leverage data services in your SOA
infrastructure
SOA Infrastructure
Services
Data Access
Transform
Business
BusinessProcesses
ESB
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SOA Enabled: Data Flow Services
• Expose transformations as
Web Services1. Orchestrate data flows2. Publish data flows as web services
in your SOA infrastructure
SOA Infrastructure
Services
Data Access
Transform
Business
Business
Processes
ESB
Bulk
Transf .
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Oracle Data Integrator
Extensible Framework
b l l d d l
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JournalizeRead from CDC
Source
LoadFrom Sources to
Staging
CheckConstraints before
Load
IntegrateTransform and Move
to Targets
ServiceExpose Data andTransformation
Services
ReverseEngineer Metadata
Reverse
Journalize
Load
Check
IntegrateServices
Pluggable Knowledge Modules Architecture
CDC
Sources
Staging Tables
Error Tables
Target Tables
WS
WS W
S
Extensibility: Knowledge Modules
• 120+ KMs out-of-the-boxTailor to existing best practicesEase administration workReduce cost of ownership
• Customizable andextensible
KMInterpreter
KM’s Meta Code
Metadata
Executed Code
ibili S i i k
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Extensibility: Scripting Framework
• Extend data flows with
scripting procedures
• Leverage all databaselanguages
• SQL, PL/SQL, Transact SQL, etc.
• Use Operating Systems shellscripts
• Win32 DOS, sh, ksh, csh, OS400commands, JCL, etc.
• Choose from compatible BeanScripting Frameworklanguages
• Java, JavaScript, Jython (JavaPython), Perl, etc.
E ibili O T l
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Extensibility: Open Tools
• Extend ODI tools
• Add your own tools to theDesign Palette
1. Implement OdiOpenToolAbstract Java Interface
2. Register Open Tool in ODI Designer3. Use Open Tool in your design
environment
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Popular Usage Scenarios
E LT f D W h
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E-LT for Data WarehouseCreate Data Warehouse for Business IntelligencePopulate Warehouse with High Performance ODI
Heterogeneous sourcesand targetsIncremental loadSlowly changingdimensionsData integrity andconsistency
Changed data captureData lineage
Data Warehouse
Cube
Cube
Cube
--------
--------
O p er a
t i on
al
An
al y
t i c s
Metadata
LoadTransformCapture Changes
Incremental UpdateData Integrity
AggregateExport
SOA I i i i
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SOA InitiativeEstablish Messaging Architecture for IntegrationIncorporate Efficient Bulk Data Processing with ODI
Invoke external services fordata integrationDeploy data servicesDeploy transformationservicesIntegrate data andtransformation services inyour SOA infrastructure
Services
Data Access
Transformation
Others
--------
--------
O p er a
t i on
al
Metadata
Generate DataServicesExpose TransformationServices
Deploy and reuseServices
BusinessProcesses
M t D t M t
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Master Data ManagementCreate Single View of the TruthSynchronize Data with ODI
Use in conjunction withpackaged MDM solutionUse as infrastructure for
designing your own hubCreate declarative data flowsCapture changes (CDC)Reconcile and cleanse thedata
Publish and share master dataExtend metadata definitions
Master Data--------
--------
Metadata
Change DataCaptureMaster Data Load
Canonical FormatDesignCleansing andReconciliation
Master DataPublishing
----
------------
CDCCDC
CDC
Mi ti
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MigrationUpgrade Applications or Migrate to New SchemaMove Bulk Data Once and Keep in Sync with ODI
Bulk-load historical datato new applicationTransform source formatto targetSynchronize new andold applications duringoverlap timeCapture changes in a bi-directional way (CDC)
Ol d A
p pl i c
a t i on
s
N ew A
p pl i c
a t i on
Metadata
Initial bulk loadCDC forsynchronization
Transformation tonew applicationformat
CDC for loop-backsynchronization
CDC
CDC--------
--------
ODI E h O l BI
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ODI Enhances Oracle BIPopulate Warehouse with High Performance ODI
Oracle Business IntelligenceSuite EE:Simplified Business Model View
Advanced Calculation &Integration EngineIntelligent Request GenerationOptimized Data Access
Oracle Data Integrator:Populate Enterprise DataWarehouseOptimized Performance for Loadand TransformExtensible Pre-packaged E-LTContent
SiebelCRM
OracleEBSPeopleSoftSAP/R3
OtherSources
Oracle Data Integrator
E-LTMetadata
E-LT Agent
Oracle BIEnterprise Data
Warehouse
Oracle BI Suite EE
Oracle BI Server
Oracle BI Presentation Server
Answers InteractiveDashboards Publisher Delivers
Bulk E-LT
ODI E h O l SOA S it
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ODI Enhances Oracle SOA SuiteAdd Bulk Data Transformation to BPEL Process
Oracle SOA Suite:BPEL Process Manager forBusiness ProcessOrchestration
Oracle Data Integrator:Efficient Bulk Data Processingas Part of Business ProcessInteract via Data Services andTransformation Services
Oracle SOA SuiteBusiness Activity
Monitoring
Web ServicesManager
Business RulesEngine
Enterprise ServiceBus
BPEL Process Manager
Bulk DataProcessing
Oracle Data Integrator
E-LTMetadata
E-LT Agent
ODI Enhances Oracle SOA Suite
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ODI Enhances Oracle SOA SuitePopulate BAM Active Data Cache Efficiently
Oracle SOA Suite:Business Activity Monitoring for Real-time Insight
Oracle Data Integrator:High Performance Loading ofBAM’s Active Data Cache Pre-built and Integrated
DataWarehouse
Oracle SOA SuiteBPEL Process
Manager
Web ServicesManager
Business RulesEngine
Enterprise ServiceBus
Bulk andReal-Time
Data Processing
SAP/R3PeopleSoft
Message
Queues
CDC
Business Activity Monitoring
Active Data Cache
Event Engine Report Cache
Event Monitoring Web Applications
Oracle Data Integrator
Metadata Agent
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Roadmap and Direction
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Oracle Data Integrator: Roadmap
•Focus Areas for Next Major Release• Deep Integration with Fusion Middleware
• Runtime, Design time, Security, Administration, Events
• Functional Integration with Oracle Warehouse Builder•
Runtime Integration, Metadata Sharing, Knowledge Module Sharing
• Deployment of ODI for Embedded Data Integration• OracleBI Enterprise Edition, Data Hubs, Application Migrations
• Enhanced Usability and Debuggability• Wizards, New Views, User-definable Debugging
• Improved Support for Native Oracle Database Features• Oracle OLAP
f
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ODI Statement of Direction
•Statement of Direction• http://www.oracle.com/technology/products/odi/statement-of-direction.pdf
• Key Points of Direction• Commitment to heterogeneous systems support
• Including: DB2, Teradata, Netezza, Hyperion, etc.
• Commitment to Fusion design principles• Including: J2EE compliance, container portability
• Commitment to best-of-class E-LT performance• Across platforms, batch & realtime, high complexity
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