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Oracle Data Integration An Overview with Emphasis in DW Appliances

Where Does Data Integration Fit?Essential Ingredient for Information Agility

SOA• Data Services• Information

services• Process

Integration• Event driven

data integration• Governance

and Impact Analysis

Business Intelligence

• Data Integration for BI applications

• Event driven BI• Heterogeneous Data

Access• Information-based

analytics• Report to Source

Data LineageEnterprise DataWarehousing

• Extract, Transform, Load• Data Migration, Bulk Data• Data Quality, Profiling

Master Data Management

Data Integration

Oracle Data WarehouseBreaks Data Bandwidth Bottlenecks

• More Pipes• Modular storage “cell” building blocks

organized into Massively Parallel Grid • Bandwidth scales with capacity

• Bigger Pipes• InfiniBand interconnect transfers data 5x

faster than Fibre Channel

• Ships Less Data Through Pipes• Query processing is moved into storage

to dramatically reduce data sent to servers while offloading server CPUs

• Runs the Oracle Database• Database and options run unchanged Exadata Moves a Lot

Less Data a Lot Faster

Oracle Master Data ManagementComprehensive MDM Application Solutions

Data Governance

Oracle Fusion Middleware

Analytical MDM AppsAnalytical MDM Apps

Operational MDM AppsOperational MDM AppsC

usto

mer

Cus

tom

er

Sup

plie

rS

uppl

ier

Pro

duc

tP

rod

uct

Application Integration Architecture

Enterprise schema & Common services

Enterprise schema & Common services

Inst

all

Bas

eIn

sta

ll B

ase

Em

ploy

eeE

mpl

oyee

Fin

anci

alF

inan

cial

Oracle / Hyperion Data Relationship

Management

Oracle / Hyperion Data Relationship

Management

Ana

lytic

alA

naly

tical

Site

Site

OperationalSystems

EBSEBS

SiebelSiebel

SAPSAP

Custom AppsCustom Apps

External Apps

External Apps

PeopleSoftPeopleSoft

JDEJDE

BudgetingBudgeting

AnalyticalSystems

DWDW

BI &DatamartsBI &Datamarts

PlanningPlanning

DashboardsDashboards

Financial Consolidation

Financial Consolidation

Use Cases for Oracle Data IntegrationUnified Data Integration Platform for Enterprise Projects

Data Integration• Bulk-load historical data to new application

• Synchronize new and old applications

• Complex transformations, CDC

• Ensure database-level consistency across applications bidirectional

BI & Data Warehouse• Real-time Data Warehouse for BI

• Populate Warehouse with High Performance ODI

• Aggregates and aligns data for operational analytics, performance management, etc

Modernization• Mainframe / iSeries sources to Oracle RAC

• Re-architect legacy batch processing to SOA and ODI-EE

• Unification of structured and unstructured data

Data Migrations & Consolidation• Upgrade Applications or Migrate to New Schema

• Single-time Bulk load and/or keep in Sync with ongoing translation, delivery of data.

• Applications merge support

SOA Initiatives• Establish Messaging Architecture for Integration

• Incorporate Efficient Bulk Data Processing with ODI

• Providing data access, transformation etc. as services within SOA

Master Data Management• Create Single View of the Truth in real time

• Aggregating multiple operational sources

• Synchronize Data with ODI-EE

• Supports master data stores, publishes master data changes to all consumers

Introducing ODI-EE

Key Data Integration Products

• Comprehensive Integration• ELT/ETL for Bulk Data• Data Delivery Services• Process Orchestration• Service Bus

• Human Workflow• Data Federation• Replication & Migration• Data Governance• Data Grid

• ELT/ETL for any DB• Changed Data Capture• Native SQL Code Gen• Declarative Design

• ELT for Oracle DB• Database Modeling• PL/SQL Code Gen• Flow-based Design

• Business Data / Metadata• Statistical Analysis

• Time Series Reporting• Integrated Data Quality

• Cleansing & Parsing• De-duplication

• High Performance• Integrated w/ODI

New

Oracle Core FeaturesComprehensive Data Integration Platform

• E-LT Data Processing• Set-based Transformation• Configurable Deployment (E-LT, E-T-L, or others)• Native Code Generation

• Declarative Integration Designer• Reverse Engineering of Sources• Intuitive Data Mapping• Built-in Reporting

• Metadata Lineage• Graphical Impact Analysis

• Native SOA Interoperability• SOA Sources, Targets, or Invoke-able E-LT Jobs, SOA Workflow, etc.

• Automatic Error Handling with Data Recycling• Changed Data Capture

• Built-in Support for Realtime Data Capture and Streaming • Log-based or Trigger-based

• Inline Data Quality• Extensible Knowledge Module Framework

Data Integration Core Use CaseComprehensive, Lightweight Data Integration

• Key Architecture Benefits: 100% Java, Open APIs, very fast E-LT• Embeddable Java Agent consumes very little CPU or RAM• E-LT Architecture uses DBMS CPUs, not the Application CPUs• Open APIs, Open Metadata, Open XML Knowledge Modules

DDAA

BB

File C

File C

C$_0C$_0

C$_1C$_1

LKMLKM

LKMLKM

IKMIKM

I$I$ E$ (Errors)E$ (Errors)

CKMCKMIKMIKM

RKMRKM

JKMJKM

Check-Load Check-Load Transform TransformExtract-LoadExtract-Load

ODI Agent

ERPApplication

Business Intelligence& Data Warehouse

ODI Agent may be deployed in any part of the architecture

ODI Agent may be deployed in any part of the architecture

Move and transform data. Mixed sources and targets.

BENEFITS KEY DIFFERENTIATED FEATURES

1. Performance >>> Heterogeneous “E-LT”

2. Flexibility >>> Event-Driven Platform

3. Productivity >>> Declarative Design

4. Open >>> 100% Java and SOA Native

5. Hot-Pluggable >>> Knowledge Modules

ODI-EE Value PropositionAgile Data Integration

11

1212

Differentiator: E-LT ArchitectureHigh Performance

Conventional ETL ArchitectureConventional ETL Architecture

Extract LoadTransform

Next Generation ArchitectureNext Generation Architecture

“E-LT”“E-LT”LoadExtract

Transform Transform

Conventional: Separate ETL Server• Proprietary ETL Engine• Poor Performance• High Costs for Separate Standalone Server• IBM & Informatica’s approach

Oracle: No New Servers• Lower Cost: Leverage Compute Resources &

Partition Workload efficiently• Efficient: Exploits Database Optimizer• Fast: Exploits Native Bulk Load & Other

Database Interfaces• Scalable: Scales as you add Processors to

Source or Target

Benefits• Optimal Performance & Scalability• Better Hardware Leverage• Easier to Manage & Lower Cost

Real Time Data WarehouseReal Time Data WarehouseReal Time Data WarehouseReal Time Data Warehouse

Logs

Logs

Logs

CDCRecords

CDCRecords

CDCRecords

CDCRecords

CDCRecords

CDCRecords

CDCRecords

CDCRecords

CDCRecords

Transactional

RDBMS

Transactional

RDBMS

Transactional

RDBMS

Source Systems Data WarehouseSource DB’s Redo Logs /

TriggersChange Tables

SubscriptionViews

Staging Area

Data Warehouse

Differentiator: Changed Data CaptureEvent-Driven Framework for Realtime Data Warehouse

14

Focus on Oracle BIEE Suite PlusUnify Data Integration with Business Intelligence

• Integrated with Oracle BIEE Plus

• Support for relational, R-OLAP, OLAP sources & targets

• Report-to-source lineage• Drill-in from a Report • Get query, DW schema, source

tables, transforms• Gain confidence in analytics

• Unified infrastructure• Unified metadata & lineage • Integrated Data Quality• Unified data access, • Common administration &

monitoring• Integrated scheduling & security • Common auditing & tracing• Common error handling

Oracle BIEE Suite PlusOracle BIEE Suite Plus

Oracle EBS

Oracle EBS

PeopleSoftPeopleSoft

SAP/R3SAP/R3

Other Sources

Other Sources

Data Warehouse

Data Warehouse

CDC

MessageQueues

MessageQueues

Enterprise Data Warehouse

Enterprise Data Warehouse

Design & Drill

Data Flow

Bulk and Real-Time Data Processing

Oracle Data Integration SuiteOracle Data Integration Suite

Metadata Lineage

Data Distribution & Delivery APIs

Bulk/Trickle Loading

Changed DataCapture

MasterData

Data Quality& Profiling

ODI Knowledge Module Framework

Information Assets

Oracle Business Intelligence Server

Common Enterprise Information Model

InteractiveDashboards

Ad hocAnalysis

ProactiveAlerts

MicrosoftOffice

Reporting

& Publishing

• Oracle RAC• Teradata• Netezza…etc

Report to Source Data LineageExplore Lineage from Target Columns to Source Columns

Focus on OBI Analytic Applications Overview

• Pre-Built BI Analytic Applications• Pre-built Metrics, 5000+ Dashboards, Data

Warehouse 350+ Star Schema• Implementation Time: 3-4 Weeks• Works with EBS, PSFT, SAP, SEBL, JD-

Edwards Sources• Biggest Savings: Pre-built ETL

• Faster & Lower Cost to Build & Maintain ETLs

• Knowledge Module Architecture Enables Efficient Development of Packaged ETL

• Reduce Complexity and Size of Code• Reuse DW Creation, Update, Load Times• Value-add Modules (e.g. SOX)

• Extensible by Customers & System Integrators

Oracle BI Analytic ApplicationsOracle BI Analytic Applications

Oracle BI Server and Semantic Layer

Oracle EBS

People Soft

SAP/R3Other

Sources

Data Warehouse

CDCMessage Queues

Analytics Data Warehouse

Information Assets

Sales MKtingOrder Mgt

Supply Chain

FinanceHRContact Center

Data Flow

Bulk and Real-Time Data Processing

Oracle Data IntegratorOracle Data Integrator

Metadata Repository

ODI Knowledge ODI Knowledge Modules for BI Modules for BI

Analytic Analytic ApplicationsApplications

Bulk Transform.

Changed Data

Capture

Data Integrity

Data Quality

ODI Connectivity Framework

Pre-Built ODI Interfaces and Pre-Built ODI Interfaces and Transformation Packages for Transformation Packages for

Analytic ApplicationsAnalytic Applications

Weeks or monthsWeeks or months

Pre-built BI AppsPre-built BI Apps

ETL ETL MappingMapping

DW DesignDW Design

TrainingTraining

Years or quartersYears or quarters

Metrics & Metrics & DashbrdsDashbrds

Build from ScratchBuild from Scratch

50%50%

Oracle Hyperion Oracle Hyperion PlanningPlanning

Oracle Hyperion Oracle Hyperion Financial MgtFinancial Mgt

Oracle Hyperion Oracle Hyperion EssbaseEssbase

Planning API HFM API Essbase API

Oracle | Hyperion Data AccessOracle | Hyperion Data Access

Data ServicesAuthentication Logging Services

API Layer

Hyperion Hyperion PlanningPlanning

Hyperion Hyperion Financial Financial

ManagementManagement

Hyperion Hyperion EssbaseEssbase

Metadata Discovery & Model Creation

Extract DataUse

Essbase KM Extracts Dimension Members

UseEssbase KM

Loads Data Loads Dimension Members

Other Features Cube Refresh Consolidate Calculate

Oracle Hyperion Application Adapters

Focus on Oracle | Hyperion ApplicationsLeveraging EPM with Embedded Data Integration

Oracle Data Integration SuiteOracle Data Integration Suite

Metadata Lineage

Data Distribution & Delivery APIs

Bulk/Trickle Loading

Changed DataCapture

MasterData

Data Quality& Profiling

ODI Knowledge Module Framework

Oracle EBS

Oracle EBS

PeopleSoftPeopleSoft

SAP/R3SAP/R3

Other Sources

Other Sources

Data Warehouse

Data Warehouse

CDC

MessageQueues

MessageQueues

Information Assets

Bulk and Real-Time Data Processing

Focus on Hyperion MDMFoundation for Data Relationship Management (DRM)

• Hierarchy management• Derivation/inheritance• Classification, categorization• Attribute management

• Change management• Streamlined, automated• Valid-from, Valid-to ranges• Compare any 2 versions

• Business-user driven• Easy user declarative tool• Specify business rules • Multi-user collaboration• What-if & historical analysis

• Meets IT requirements• Synchronize with operational systems• Complete auditing, fine-grained

security• Configurable, no coding

Hyperion Data Hyperion Data Relationship Relationship ManagementManagement

Oracle EBS

People Soft

SAP/R3Other

Sources

Data Warehouse

CDCMessage Queues

Oracle Data IntegratorOracle Data Integrator

DRM Import/Export

Profiles

Bulk and Real-Time Data Processing

Metadata Repository

ODI Knowledge Modules for DRMODI Knowledge Modules for DRM

Bulk Transform.

Changed Data

Capture

Data Integrity

Data Quality

ODI Connectivity Framework

Information Assets

18

Oracle Oracle Data Data

IntegratorIntegrator &&

Oracle Oracle Data Data

QualityQuality

Oracle Oracle Data Data

IntegratorIntegrator &&

Oracle Oracle Data Data

QualityQuality

Hyperion Data Relationship ManagementClosed-loop Master Data Management

OperationalOperational

E-Business SuiteE-Business Suite

JD EdwardsJD Edwards

HRHR

LegacyLegacy

SAPSAP

Siebel CRMSiebel CRM

People SoftPeople Soft

Hyperion Data Relationship ManagementHyperion Data Relationship Management

Hierarchy Governance

Master Hierarchies and Versions

Cost Centers

Entities Accounts Org Struct Geography

AnalyticAnalytic

Financial AppsFinancial Apps

BudgetingBudgeting

Planning & Planning & ForecastingForecasting

AnalyticsAnalytics

Key PerformanceKey Performance

Query / ReportingQuery / Reporting

Enterprise Enterprise ReportingReporting

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ODI-EE A Look Ahead

ODI for Oracle FusionData Integration as a Key Fusion Differentiator

• Fusion Applications

• Built-in, Automated Data Replication among ERP Applications

• Fusion Business Intelligence

• Pre-built Analytics from Fusion ERP Applications

• Automatic Mapping and Model Updates (Application-driven)

• Fusion Master Data Management

• Data Replication, Conflict Detection and Conflict Resolution

• Fusion w/Essbase

• Fusion Financials (Automatic Financial Consolidation)

• Pre-built Essbase Content with Apps and Business Intelligence

2009 2010

2011

UnifiedTeam

UnifiedPlatform

High-Level Data Integration RoadmapTowards a Unified ETL Platform

• OWB/ODI Investments are Fully Protected

• No Forced Migrations• Natural Upgrade Path• Unified Platform aims to be

a Superset of Existing Products – no regression

2009

ODI J2EE Deployment ArchitectureLogical Architecture Overview

JDeveloper

ODI in JDev

Designer Operator

Security Topology

WLS

Data Sources Connection Pool

Repository Data Sources Sources Data Sources Target Data SourcesRepository Data Sources Sources Data Sources Target Data Sources

Repository Data Sources Sources Data Sources Target Data Sources

Servlet Container

ODI Agent

ODI Thin Client

Web Service Container

ODI Transform. Service

ODI Data Services

Any Application Container

Any Application

ODI SDK APIs

MBeans Server Registry

Any MBeans App

ODI MBeans for ODI Agent

Sources and Targets

ERP

---------

---

------

CRM

- - -

Legacy

---------

---

------ ---

---------

------

Best-of-Breed ApplicationsPLM

RDBMS – ODI Repositories

ODI Master Repository

ODI Work RepositoryODI Work

RepositoryODI Work

Repository

Any Java App

Any Java App

Any Application

ODI SDK APIs

Any Web App

ODI 11gR1 New FeaturesAvailability Planned for 1HCY10 Timeframe

• JDeveloper-based Tooling• J2EE deployment option (using Weblogic Server)• Standalone Option is Preserved – using Jetty• JPS-based Security (external password management)• Enterprise Scheduler (ESS) Integration• Enterprise Manager Integration• New Thin Client (consolidated + more mgmt features)• Set-based Operators and Temporary Index Management• Java SDK APIs for Improved Embedability• JDE Enterprise One Knowledge Modules (v8.x and higher)• SAP ERP Knowledge Modules (v4.6 and ECC 6.0)• SAP iDocs Knowledge Modules (v4.6 and ECC 6.0)• SAP BW Knowledge Modules (v3.5 and v7.0)

24

Customer Examples

Enterprise Data WarehouseRaiffeisen Bank

• Meets legal requirements for data consolidation in the head office (Basel II, Investor reporting)

• Seamless and realtime Capital Market reporting to investors and stakeholders• Single-source of truth for business information – supports Business Intelligence and EDW• One standardized enterprise data model over the whole RZB Group• Reduction of core integration/development costs through central development practice• Reduced time to market for new Group applications through central interface development

• Performance Issues with existing ETL Tool (IBM DataStage)

• New functions required for the next DWH releases (realtime, replication, etc)

Business Challenges

Oracle Data Integration Solution Benefits

IT Challenges

• Costs for Enterprise Data Warehouse infrastructure were growing too fast

• EDW processes not keeping up with 24x7 operations, ETL batches too slow

Order Replenishment, Online CatalogJ. Crew

• Simplified the end-to-end data integration with all their core IT systems and database platforms to reduce the total cost of ownership of their order replenishment and cataloging

• Benefited from the Oracle advantage in batch processing, bulk data transformation for increased performance

• Successfully leveraged SAP and Teradata integration to phase out legacy systems and ultimately reduce costs

• Order replenishment for online catalog system • Define new corporate standard for data integration• Better integrate data across 175 retail stores and 52

outlet chains

Business Challenges

Oracle Data Integration Solution Benefits

IT Challenges

• Replace antiquated home-grown solution of scripts• Teradata bulk data support, and help integrate data

across SAP, Red Prairie Inventory systems

Financial Services, ReinsuranceNew Reinsurance, Division of the Munich Re Group

• Seamlessly integrated across (Oracle applications (E-business Suite, Siebel CRM) SAP, IBM, etc) to manage the regeneration of all code, scripts, and metadata across the different environments.

• Lowered the cost of development by taking advantage of ODI’s declarative model, ease of use, and team collaboration capabilities.

• NRC benefited from the flexibility and standards based approach of ODI, helped leverage the existing environment.

• Needed quality of data but uncompromising on the cost to meet that objective.

• Data interactions between multiple complex systems, including both SAP and homegrown insurance applications

Business Challenges

Oracle Data Integration Solution Benefits

IT Challenges• Hard to modify and maintain manually-developed

data transfer programs. • Data transfers as part of reinsurance, risk

transactions

Improve Inventory ControlRoss

• Seamless data integration from heterogeneous sources leveraging SOA helped to create a more flexible, standards based integration approach

• 73% Bulk data transfer performance improvement• Together with Oracle SOA Suite (Oracle BPEL PM) provided business optimization, process visibility,

exception handling• Closed loop processing using BAM and Data Integration combined eliminated ordering/replenishing

inventory errors by reducing inaccurate data

• Hard to consolidate consistent, accurate inventory information across over 800 multiple store chains

• Lack of visibility to errors to the business• Higher cost and time to delivery of new value

Business Challenges

Oracle Data Integration Solution Benefits

IT Challenges• Current state was complex, didn’t scale, and difficult

to manage• Non-standard approach required coding paradigm,

inconsistent error handling

Dain HansenDain Hansen

Shared Data ServicesVerizon

• ODI + SOA helped to build out a shared services layer which helped provide greater flexibility• These shared services consolidate database (DB2, Sybase, Informix to Oracle), consolidate ERP

(PeopleSoft HR/Payroll, Decommissioning SAP), consolidate middleware (Oracle FMW) and consolidate BI/ETL

• In addition the program helped to decommission Cystal and Cognos and adopt Oracle BIEE

• Streamline and automate business processes around new hire on boarding

• Provide better business insight and manage FiOS supply chain

Business Challenges

Oracle Data Integration Solution Benefits

IT Challenges• Lower the cost of rewriting SAP, PSFT & Legacy

interfaces (about 209) through custom code• Lower the cost of IT infrastructure from multiple

systems

Dain HansenDain Hansen

Sales and Marketing Data Warehouse Nestle

• Replaced weekly insertion with daily recording of change in status with time imprint for all clients—allowing for more effective client follow-up, for example

• Improved response times by transferring reporting processes to the data warehouse• Improved reactivity for restocking requirements thanks to daily updates on stock quantity and value for each store• Provided overall view of the status of business processes, resulting in improved user communication

• Hard to consolidate consistent, accurate inventory information across over 800 multiple store chains

• Lack of visibility to errors to the business• Higher cost and time to delivery of new value

Business Challenges

Oracle Data Integration Solution Benefits

IT Challenges• Manage a data warehouse for operational

transactions and marketing information• Scale available for high-value-added actionable

data on clients, orders, stock, etc.

Dain HansenDain Hansen

• Enable the marketing and CRM team to better target its campaigns and activities across 50 countries

• Anticipate future reporting challenges, in light of the strong increase in the volume of production data

Questions

The preceding is intended to outline our general product direction. It is intended for information

purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any

material, code, or functionality, and should not be relied upon in making purchasing decisions.The development, release, and timing of any

features or functionality described for Oracle’s products remains at the sole discretion of Oracle.