future strategy, direction, and roadmap of oracle’s data

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. 1

Future Strategy, Direction, and Roadmap of Oracle’s Data Integration Platform

Wankeun Lee ( 010-4167-5865)

Data Integration Solutions Specialist


Fast Action Delivers Value The Sooner You Know, The Better

Business decisions approach real-time

Time available to capture data is decreasing

Analysis of increasing data volumes = delays

Operational excellence requires immediate action

Real-time capture and action is available already

Business event

Action Time

Bu

sin

es

s V

alu

e

Data captured

Analysis completed

Action taken


Yes, in production at scale,

17.7%

Yes, in limited use,

12.2%

Yes, in pilot stage,

7.1%

Preliminary planning,

7.5% Under consideration,

10.6%

No, 35.4%

Don’t know/unsure,

9.5%

Public and Private Cloud Adoption Is Increasing

Source: IOUG ResearchWire member studies on Cloud Computing, conducted in Aug-Sept 2010 and Aug-Sept 2011

2011 Private Cloud 2011 Public Cloud

21% Use Public Clouds in 2011

50% increase from 2010

Yes, 20.9%

Under consideration,

13.6% No, 52.9%

Don’t know/

unsure, 12.6%

37% Have Private Clouds in 2011

28% increase from 2010


Ultimate Goal of Data Integration

Pervasive,

Continuous

Access to

Trusted Data

High

Performance,

Low Cost of

Ownership


Modernization MDM SOA Big Data

Oracle Data Integration Complete Offering for Enterprise Data Integration

Complete and best-of-breed

approach for enterprise data

integration

Maximum performance with

lower TCO, ease of use and

reliability

Certified for leading

technologies to deliver fast

time to value

Oracle Data Integrator

Oracle GoldenGate

Oracle Enterprise Data Quality

Oracle Data Service Integrator

OLTP

Applications

Legacy

Unstructured Oracle Customers Report:

80% lower TCO

Five times higher performance

70% reduction in development costs

Synchronization Custom BI


The Focus of Oracle’s Data Integration Strategy Five New Requirements for Data Integration

On-Premise,

On Cloud

Data

Quality

Any Data,

Any Source

Real-Time

Analytics

Zero Downtime,

Maximum

Performance


Big Data Drives Big Benefits

Transactions YOUR Data:

Decisions based on

your data

BIG Data: Decisions based on all

data relevant to you Machine-Generated

Data

Social Data

Documents

Any Data,

Any Source


Real World ROI Drivers for Big Data

Industry New Data What’s Possible Why?

Retail

One size fits all marketing

Weblog, click

streams

Micro-segmentation,

recommendations

Increase net margin by

60%

Banking

Fraud detection; risk analysis

Weblogs, transaction

systems, fraud

reports

Semantic discovery;

pattern detection

Billions of Dollars lost

in bank fraud annually

Healthcare

Improve Quality and

Efficiency

Practitioner’s notes;

machine statistics

Best practices,

reduced hospitalization

Increase industry value

by $300 B per year

Utilities

Resilient and adaptable grid

Smart meter

reading, call center

data

Real-time and

predictive utilization

analysis

Energy use expected

to grow by 22 percent

by 2030

Location-Based Services

Based on home zip code

Personal location

data

Geo-advertising, traffic,

local search, more.

Increase revenue for

providers by $100B+


Any Data,

Any Source

Oracle Strategy for Integrating Big Data

Big Data

Transformation

Bulk Data,

E-LT

OLTP OLAP Unstructured Legacy


Any Source, Any Target

IBM DB2 UDB

IBM DB2 z Series

IBM DB2 i Series

Enscribe

SQL/MP

SQL/MX

MySQL

Sybase ASE

Informix

JMS

Teradata

Netezza

Sample list of Sources and Targets

Oracle Database

Oracle Exadata

Oracle Big Data Appliance

Enterprise Data Quality

Oracle E-Business Suite

JD Edwards Enterprise One

Oracle Enterprise Service Bus

Oracle Hyperion

Oracle OLAP

Oracle PeopleSoft

Oracle Siebel CRM

Oracle Communications BRM

Hadoop

Sybase IQ

TimesTen,

PostgreSQL

Greenplum,

HP Neoview

SAS

SalesForce

SAP ERP & BW

Generic SQL

Hypersonic SQL

Microsoft SQL

Microsoft Access

Oracle BI EE

Oracle BI Apps

Linux

Sun Solaris

Windows 2000,

2003, XP

HP NonStop

HP-UX

IBM AIX

zLinux

…

New in Oracle GoldenGate 11g Release 2

IBM i Series

Postgres

MySQL v 5.5

IBM AIX v7.1

Sun Solaris v11


Real-time

Changed Data Mainframe

DB2 zOS &

DB for i

Reporting

(or OLTP

Systems)

Oracle GoldenGate

11

Leverage Your Mainframe Data

Bring mainframe data to

transactional and

analytical systems

Reduce MIPS

consumption by running

read-only queries on a

lower-cost, open system

Avoid having to upgrade

the legacy system to

maintain performance

Reduce MIPS, Avoid Future Mainframe Upgrades

Transaction

Processing

Read-only

Activity


On-Premise,

On Cloud

Integrating Cloud Applications


Big Data

Transformation

Real-time

Replication

Bulk Data,

E-LT

Data Quality (Product & Customer Data)

Service-Oriented Architecture, BPM

Data Services,

Federation

Cloud Application Foundation

Public

Cloud

Private

Cloud

http://www.peoplesoft.com/corp/en/public_index.jsp


Cloud Enablement

Seamless, Zero Downtime Migration

Continuous Availability

Certified for Oracle Exadata

Oracle Data Integration for the Private Cloud

Data-Layer Integration

Data Services for SOA/BPM

Real-Time Application Data Synchro


Migrated OLTP database workloads onto Oracle RAC running on Red Hat Linux v5.4 without interrupting business operations using Oracle GoldenGate

480 databases in 5 data centers are moving onto this architecture

Maintenance and upgrades done with near-zero downtime

Zero Downtime Operations

Customer Example: Fedex Database Consolidation to Oracle RAC Using GoldenGate


Oracle Strategy for Continuous Availability

OLTP OLAP Legacy

Oracle GoldenGate

Real-Time Replication

Eliminates planned and unplanned downtime

Bidirectional replication without distance limitation for Active-Active implementation

Supports heterogeneous databases and operating systems

Zero Downtime,

Maximum

Performance



• Storage failure

• Data recovery

• Backups

• Instance failure

• Server failure

• RAC rolling

maintenance

• Performance

scale-out

• Consolidation

• Continuous

point-in-time

recovery

• Granular repair

of logical

corruptions

• Transaction

• Table

• Database

• Database failure

• System failure

• Site failure

• Zero data loss

• Automatic database

failover

• Lost-write protection

• Database rolling

upgrade

• Offload read-only

workload and

backups

• Some migrations

• Zero downtime

upgrades and

migrations

• Online platform and

application upgrades

• Bi-directional and

multi-master replication

• Distribute read-only &

read-write workload

• An alternative to

physical replication

for site protection

• Flexible planned maintenance

and heterogeneous

migrations

Five Steps to Maximize Availability

ASM,

RMAN,

OSB

Oracle RAC

Flashback

Active

Data Guard

Oracle GoldenGate


Used GoldenGate for a phased migration

with more than 12 terabytes of data from

heterogeneous legacy systems supporting

SaaS integrated marketing offering

Gained the ability to complete the migration

in phases, enabling e-Dialog to test the new

environment over time

Reduced downtime during the massive

migration effort

Zero Downtime Migration

Customer Example: E-Dialog Business Continuity During Exadata Migration


Ensured continuous availability for the hundreds of thousands of customer transactions processed each day,

24/7 uptime for its e-commerce, risk management, investment, and payment-hub operations, as well as its business intelligence platform

Achieved greater than 99% service availability

Continuous Availability

Oracle GoldenGate Bank of Valetta


Oracle

GoldenGate

11gR2

Integrated Capture for Oracle Database

Update on Oracle GoldenGate: 11g Release 2

Enhanced Conflict Detection & Resolution

Manageability & Monitoring

Automated detection and resolution of data conflicts for active-

active or multi-master deployments

New Oracle GoldenGate Monitor product and integration with

Oracle Enterprise Manager

Moves Capture capabilities closer to the Oracle Database

Enables 100% support for compressed objects in Oracle

Database and Exadata


The Focus of Oracle’s Data Integration Strategy Five New Requirements for Data Integration

On-Premise,

On Cloud

Data

Quality

Any Data,

Any Source

Zero Downtime,

Maximum

Performance

Real-Time

Analytics


Real-Time

Analytics

Oracle Strategy for Real-Time Analytics


Big Data

Transformation

Real-time

Replication

Bulk Data,

E-LT

Data Quality (Product & Customer Data)

Business Analytics

Data Services,

Federation


Optimized for Oracle Engineered Systems

Optimized bulk loads, Leverages Infiniband, Smart Storage

No data transfer to/from separate ETL server

Transformations use Exadata optimized SQL

Native Batch And Real-Time integration capability

Zero down-time migrations to Exadata

Bridge for your Enterprise data and Big Data Appliance

Tightly integrated with Exadata, Exalytics

Real-Time

Analytics


ODI and Exadata – Real World Example: A Disruptive Improvement in Performance

A complex branch of the customer’s

tax allocation process runs 5 hrs 11

mins during quarter close

Exadata and ODI (E-LT) combined

is able to execute the process

42X faster (7mins 20 secs) 0

50

100

150

200

250

300

350

ODI on ExadataConventional ETL

Jo

b e

xecu

tio

n t

ime in

min

ute

s 5hrs 11mins

7min 20sec

42X

IMPROVEMENT


Integrated network operations systems to

the data warehouse to offer a global

reporting solution

Achieved 167% ROI after 9 months by

implementing an E-LT architecture

20X Performance improvement using

Oracle Data Integrator on Exadata.

The combined solution helped decrease

data preparation time for data mining from

27–29 days to 2–3 days

High-Performance E-LT for Data Warehousing

Customer Example: Turkcell Data Warehousing on Oracle Exadata


Faster Time to Insight Data Discovery using Oracle Data Integration

Faceted Data Model Enrichment

Unified

Querying

Interactive

Exploration

App

Composition

Endeca Information Discovery

Endeca Server

Oracle Data Integration

Helps organizations quickly

explore ALL relevant data

Combines structured & unstructured

data from disparate systems

Automatically organizes information

for search, discovery & analysis Oracle Data Integration


Your Data Is Changing

Companies Individuals Products Data

Quality In one hour… In one hour… In one year…

• 240 businesses will change addresses

• 150 business telephone numbers will change or be disconnected

• 20 corporations will fail

• 12 new businesses will open their doors

• 5,769 individuals in the US will change jobs

• 2,748 individuals will change address

• 515 individuals will get married

• On average 20% duplicates in product data

• 90% product introductions fail

• Retailers lost 40 billion or 3.5% of total sales lost each year due to item info inefficiencies

Faster Than You May Realize

Master data changes at rate of 2% per month

Source: D&B, US Census Bureau, US Department of Health and Human Services, Administrative Office of the US Courts,

Bureau of Labor Statistics, Gartner, A.T Kearney, GMA Invoice Accuracy Study

Compounded 27% per year 104% in three years


Your Data Contains Errors and Inconsistencies

Variation or Error

Example Variation or

Error Example

Sequence errors • Mark Douglas or Douglas Mark Transcription

mistakes • Hannah, Hamah

Involuntary corrections (자동수정)

• Browne – Brown Missing or extra

tokens

• George W Smith, George Smith,

Smith

Concatenated names

• Mary Anne, Maryanne Foreign sourced

data

• Khader AL Ghamdi, Khadir A.

AlGamdey

Nicknames and aliases

• Chris – Christine, Christopher, Tina Unpredictable

use of initials • John Alan Smith, J A Smith

Noise • Full stops, dashes, slashes, titles,

apostrophes Transposed

characters • Johnson, Jhonson

Abbreviations(약어)

• Wlm/William, Mfg/Manufacturing Localization • Stanislav Milosovich – Stan Milo

Truncations • Credit Suisse First Bost Inaccurate dates • 12/10/1915, 21/10/1951, 10121951,

00001951

Prefix/suffix errors ( 관용어)

• MacDonald/McDonald/Donald Transliteration

differences • Gang, Kang, Kwang

Spelling &

typing errors • P0rter, Beht Phonetic errors • Graeme – Graham

28

Data Governance Life Cycle

Understand

• Understand current data ‘fitness for purpose’

• Identify critical issues & quick wins for impact analysis and ROI

Improve

• Improve ROI and performance of existing applications

• Bring data to a known, baseline quality – ready to roll-out new applications and initiatives

Protect

• Continuous, consistent enforcement of standards

• High quality data drives ROI

Govern

• Monitor ongoing effectiveness

• Track and resolve issues and improve overall effectiveness


Oracle Enterprise Data Quality for Trusted Data

Easy-to-understand executive dashboards

for audit, profiling, parsing, and

standardization process results

Graphical views show data quality trends

over time

Allows continuous monitoring and quick

discovery of issues before they impact

business

Know and Manage Your Data Continuously


Created golden record for 64,000+

customers in over 150 countries

Reduced data contamination by 20% to

nearly 100% clean data

Delivered a single customer view to

2,000 information workers in 60 countries

Refreshed critical data 4x faster

EDQ standardization enabled 20%

increase in data volumes each year

without increasing resources

Data Quality for Customer Management

Customer Example: British Standards Institution Data Cleansing and Single Customer View


Putting it All Together: Oracle Data Integration

Any Data,

Any Source

On Premise,

On Cloud

Zero Downtime,

Max. Performance

Real-Time

Analytics

Data Quality OLTP OLAP Unstructured Legacy

Big Data

Connectors

Oracle

GoldenGate

Oracle Data

Integrator

Oracle Enterprise Data Quality

Oracle SOA Suite, BPM Suite, Oracle Business Analytics

Data Service

Integrator

Oracle Cloud Application Foundation

Public

Cloud

Private

Cloud



Enterprise-Class Data Integration with Oracle Multiple Use-Cases for Heterogeneous Systems

Real-Time Enterprise Data Warehouse and

Zero Downtime Migration

Real-Time Data Synchronization across Globe and Operational

Reporting

OLTP integration in Real Time, Data

Warehousing and Disaster Recovery

Data Warehousing for operations from

restocking to marketing

Real-Time Data Warehousing and Hot Standby for Disaster

Recovery

Operational Reporting for E-Business Suite

and Data Services for SOA

Data integration from Heterogeneous Sources

for SOA and BAM

Reliable Bulk Data Movement and

Transformation for High Volume, Transactions


Join the Data Integration Community

Twitter twitter.com/ORCLGoldenGate

Facebook facebook.com/OracleDataIntegration

Oracle’s Data GoldenGate YouTube channel youtube.com/oraclegoldengate

Oracle.com/goto/dataintegration

LinkedIn “Oracle Data Integration”

Oracle’s Data Integration blog blogs.oracle.com/dataintegration