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Informatica PowerCenterHow to extend the enterprise data integration capabilities

to include virtual data integration services

Pei Yung ChanProduct Manager

peiyung.chan@powerdataib.com

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Corporate Overview

at a Glance

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$450• Founded: 1993• Headquarters: Redwood City, CA • Employees: 1,300+• Offices: N. & S. America,

Europe, Asia Pacific• Revenue: $391 million (2007)• 3-year Compound

Annual Growth Rate: 21% per year• Market share leader (Gartner Dataquest)

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$100

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2004 2005 2006 2007

( q )• Customers: 2,950+

• 91 of Fortune 100• 80%+ of Dow Jones• Government organizations in 20 countries

• Partners: Over 400 major SI, ISV,OEM and On Demand

� Singular focus on Data IntegrationProducts and Services

OfferingOffering � Technology� Professional Services & Education� INFA Technical Support in EMEA & LATAM

CompanyCompany � Founded in 1999� Over 80 employees

Leader in Data Integration

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OfficesOffices � Madrid, Barcelona� Lisboa � Buenos Aires� Santiago de Chile

CustomersCustomers � 5 out of the 10 biggest companies (by revenue) -Telefónica, Endesa, Cepsa, Iberdrola, Carrefour

� 9 of the main companies listed in Ibex 35 (Banesto, BSCH, Corporación Mapfre, Endesa, Iberdrola, Inditex, Sogecable, Telefónica)

Insurance

Financial

Services

PowerData Customers

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Telco

Retail & Services

Pharma & Healthcare

Public Sector

Telco

PowerData Customers

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Energy

Other verticals

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Enterprise Data Integration

The Information EconomyEnabled Through Data

TraditionalEnterprise

On-demand Enterprise(SaaS)

Partner TradingEnterprise (B2B)

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HIPAA

SEPA

NAACHA

On-demand Integration Enterprise Data Integration B2B Data Integration

Data Quality Across the Whole Enterprise

The Information EconomyKey Customer Business Imperatives

BusinessImperatives

Improve Decisions &RegulatoryCompliance

ModernizeBusiness & Reduce IT

Costs

FacilitateMergers &

Acquisitions

Improve Customer Service &

Operational Efficiency

OutsourceNon-coreFunctions

IncreasePartner network

Efficiency

IT Business Customer

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IT Initiatives

Intelligence & Regulatory Reporting

Legacy Retirement

Application Consolidation

Customer,Supplier,

Product Hubs

BPOSaas

B2B Integration

Projects

Data Warehouse

DataMigration

DataConsolidation

Master DataManagement

Data Synchronization

B2B DataExchange

The Information EconomyKey Customer Business Imperatives

Data Warehouse

DataMigration

DataConsolidation

Master DataManagement

Data Synchronization

B2B DataExchange

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Data Warehouse

DataMigration

DataConsolidation

Master DataManagement

Data Synchronization

B2B DataExchange

The extended enterprise – data everywhereB2BUnstructuredApplication DatabaseOn-Demand

HIPAA

SEPA

NAACHA

SWIFT

= Less for moreHand Coding

Gain Business Value From DataCommon Project Lifecycle: Do More With Less

Data Warehouse

DataMigration

DataConsolidation

Master DataManagement

Data Synchronization

B2B DataExchange

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Why Informatica?

InformaticaThe Data Integration Platform To Enable Business Imperatives

Improve Decisions &RegulatoryCompliance

ModernizeBusiness & Reduce IT

Costs

FacilitateMergers &

Acquisitions

Improve Customer Service &

Operational Efficiency

OutsourceNon-coreFunctions

IncreasePartner network

Efficiency

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PowerExchange PowerCenter

Data QualityData ExplorerB2B Exchange B2B Exchange

MetadatosEIM, Content Management

…) Real

Complex Data

Exchange

ETL

Data Grid

High Availability

Data Profiling

Data

Quality

F d ti

Web Services

(SOA)

La visión de InformaticaIntegración de Datos

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Apl

icaç

ione

s y

Mid

lew

are

(SAP

, Sie

bel,

TIBC

O, B

izta

lk, …

BI(BO

, SAS, Microstrategy,

Hyperion, C

ognos …)

DB(Oracle, Microsoft, IBM, …)

EAI

Real

Time

SchedulingChanged

Data Capture

Mainframe

ETL

DWL

Auditing Team Base

Develop/

Federation

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Data Federation

Right Time Data Integration

Why Enterprise Information Integration?The Value Proposition of EII or Data Federation

� Need for on-demand current data from volatile operational systems

� Large volume of data costly to replicate and copying disallowed

� No upfront requirements and incremental development needed

� Real-time access to data needed

PORTALSBI TOOLS

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Real time access to data needed without data movement or copying

� Creates a virtual data layer that serves as a single data source

� Direct updates to source data are necessary

Why Extract-Transform and Load?The Value Proposition of ETL or Data Consolidation

� Need for historical or more stable data

� Complex queries, large volumes of data, with persisted results

� Upfront end-user requirements available with complete details

� Can’t tolerate any impact on

PORTALSBI TOOLS

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Can t tolerate any impact on operational systems

� Involves complex data integration (transformation, etc.)

� Direct updates to source data not a requirement

Why Blended Data Integration?The Value Proposition of a Hybrid Approach

� Delivers holistic information i.e. both historic and current

� Provides choice of data integration modes for flexibility

� Delivers right-time data - real-time, near real-time, batch

� Enables rapid prototyping followed

PORTALSBI TOOLS

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Enables rapid prototyping followed by validation phase

� Provides a blended architecture with flexibility for specific needs

� Supports highly optimized data delivery by any access mode

The Informatica AdvantageIntegrated Platform - Blended Right-Time Data Integration

� Integrated functionality from leading data integration provider

� Provides single environment for batch and real-time use cases

� Optimized performance for both physical and virtual modes

� Extends data access capabilities to a broad range of clients

� Provides flexibility of data access - SQL, Web Services

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Provides flexibility of data access SQL, Web Services

� Enables both platform and database independence

� Ensures high developer and data analyst productivity

� Architected for SOA by providing a data abstraction layer

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Use cases

Blended Data Integration Use CasesDrivers and Competitive Differentiation

# Use Case Scenarios Driver Value Prop. Competitive Differentiation

1 DW Extension Mergers and Acquisitions

New Apps On-

Efficient Consolidation

Flexible Data Federation

Best of Breed

Light Footprint

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New Apps Onboarding

New Data Source Extension

Richer BI/Reporting Environment

Easy to Use

Data Breadth

Proven Installs

2 Data Services SOA Service Enable Data

Complement Process Services

Easy Integration w/ Other SOA Components

No Stack Required

Use Case 1Data Warehouse Extension for Operational BI

Data Federation – Caching, Query Optimization

PortalsOperational BI Tools

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Power Center

DW/DM

Operational Databases

Bus

ines

s U

nit 1

Bus

ines

s U

nit 2

ETL Job

Use Case: Data Warehouse ExtensionWell Management Reporting at Large Oil & Gas Producer

� Situation and Requirements− 10,000 wells, 1,800 ETL jobs with 110m records

moved nightly; SLA window – 6pm to 6am− Well Engineers are too burdened by data search,

collection and reporting− Wells are primary business assets – utilization and

revenue must increase− Complex environment with massive data volumes

and many disparate data sources (operational and historical)

Data Federation

Operational BI Reporting Tool

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− Complex skill requirements, from engineer to dispatch

� Solution− Virtual view of well status, rig status and financial

information that improves real-time operational decisions to Operational Portal and Work Management Reporting System

� Results− 10% increase in well revenue-performance and

efficiency− 50% reduction in development time for

complex integration projects− 20% improvement in individual field Engineer efficiency

Reporting DM

ERP DW

Source Applications

PowerC

enter

PowerC

enter

Operational Store

PowerC

enter

PowerC

enter

Use Case 2Data Services/Portals & Composite Applications

Data Federation – Caching Query OptimizationPower Center

Composite Applications

SOA Data ServicesSQL

Portals

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Data Federation Caching, Query Optimization(Real Time)

Operational Databases

� Situation and Requirements:− Changing business needs from research scientists− Prototyping Rapid Applications Development tools with

flexibility of data integration and access− Complex analytics delivered on-demand from many

sources − SOA compliance− Share research data across the company

Research ScientistsDrug Discovery Application

Use Case: Data ServicesDrug Discovery Application at Pharmaceutical Company

SQL Data Services

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− Structured and semi-structured data

� Solution: − Scientific Workbench that combines disparate data

� Results:− 50% reduction in development time for complex

data integration projects− SOA-compliance, with data services in the format

required by data users− Data quality improved through Rapid prototyping− Reduced cost of operational infrastructure

Historical DataPackaged AppsXML data

HTTP files

Data FederationPowerCenter

(Real Time)

Operational Store

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Technical Overview

What does the PowerCenter Data Federation Option do?

� Leaves enterprise data where it naturally lives

� Establishes a virtual data layer that applications can treat as a single data source

� Executes on-demand queries to retrieve and integrate data from a variety of systems

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data from a variety of systems− Operational systems− Data warehouse

� Employs query optimization, caching, and prudent design to ensure performance

Step 1: Build the ViewStep 1: Build the View

(A ViewView contains MetadataMetadataon the actual data source

How does it Work at Design-Time?

Data Federation Option View

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Data Source 1 Data Source 2

on the actual data source –format, type, location, access, etc.)

Data Federation Option View1 A B a b

2 C D c d

Step 2: Aggregate Data

(Queries are optimized

Step 3: Deliver DataStep 3: Deliver Data

(Combined data creates meaningful information)

Step 1: Build the View

(A View contains Metadataon the actual data source

Portals BI ToolsWeb Services

How does it Work at Run-Time?

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Data Source 1 Data Source 2

1 A B

2 C D

3 E F

4 G H

1 a b

2 c d

3 e f

4 g h

3 E F e f

4 G H g h

(Queries are optimized for speed and efficiency)

on the actual data source –format, type, location, access, etc.)

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Wrap-up

Wrap-up� Advanced performance design

− Cost-based query optimization− Data path tuned for high-volume throughput− Extensive and flexible caching

� Broad data source and delivery options− Sources: JDBC/ODBC, SOAP/WSDL, LDAP, HTML and flat files− Delivery options: JDBC, ODBC and SOAP

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� Acknowledged as easiest to install and use

� Database-independent

� Informatica Data Services− Model-driven (Data Objects) service development− Rich data access/transformation capabilities− SQL and web services access with a single engine from Informatica

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