Archive Data to Improve Application Performance and Reduce

Archive Data to Improve
Application Performance and
Reduce Cost
Andrew KC Lim
Technical Sales Professional,
Information Governance,
IBM Software Group, ASEAN
What we’ll discuss
•
Challenges of exponential data growth
•
Defining data growth management & archiving
•
InfoSphere Optim Archive
– Effectively archive and manage data growth
– Ensure support for data retention & access
– Contribute to a big data strategy
•
Making the business case
•
Resources to learn more
© 2013 IBM Corporation
IBM helps organizations reduce the cost of data
Transactions
Analytic
Applications
Application
Data
Machine
Data
Social
Media
Reduce
the Cost
of Data
Trust &
Protect
Information
Manage
Integrate
& Govern
New Insights
From
Big Data
Analyze
Enterprise
Applications
T HE INF ORMAT ION SUPPLY CHAIN
Content
Mobile/Cloud
Applications
© 2013 IBM Corporation
InfoSphere is the leader in Information Integration & Governance
• Broad and deep capabilities
• Lowest risk with proven
client success
Information Integration and Governance
Information
Integration
Data
Quality
Master Data
Management
Data
Lifecycle
Management
Privacy &
Security
• Agile & simple
• Designed to scale for big
data
• Pre-built information
governance
Understand and Collaborate
IBM Information Governance Unified Process
© 2013 IBM Corporation
Growing data volumes impacting today’s organizations
“Forrester estimates that 75% of the data stored in large
mission-critical OLTP applications is typically inactive,
rarely accessed by any user, process, or application.”
-- Forrester Research, “Your Enterprise Data Archiving Strategy”, February 2011
© 2013 IBM Corporation
Costs, performance and compliance continue to be a struggle for
today’s organizations
Increasing Costs
Poor Application
Performance
Manage Risk
& Compliance
Buying more storage is not
“cheap” when you add the
operational burden
Waning application
performance due to
growing data volumes
The “keep everything”
strategy can impact disaster
recovery and data retention
© 2013 IBM Corporation
Organizations have been increasingly challenged with successfully
managing data growth
Increasing Costs
Poor Application
Performance
Manage Risk
& Compliance
3-10x
Cost of managing storage
80%
The time DBA’s spend
50%
of firms retain structured
over the cost to procurea
weekly on disk capacity
issuesc
data for 7+ yearse
15%
Percentage of IT budget
57%
250
hours
of firms use Back-up for
The amount of time needed
spent on just disk storage
in 2012b
to run “daily” batch
processesd
data retention needse
(a) Merv Adrian, IT Market Strategies, “Data Growth Challenges Demand Proactive Data Management”, November 2009
(b) Forrester, “Forrester Forrsights Hardware Survey, Q3 2012”, October 2012
(c) Simple-Talk, “Managing Data Growth in SQL Server ”, January 2010
(d) IBM Client Case Study: Toshiba TEC Europe; archiving reduced batch process time by 75%
(e) IDC Quick Poll Survey 2011, “Data Management for IT Optimization and Compliance”, November 2011
© 2013 IBM Corporation
The impact of rampant data growth volumes
Challenges in Data Growth Management
“It became increasingly difficult to provide the appropriate service
levels…[our team] didn’t feel we could with the existing system performance.
Keeping historical data in the production environment indefinitely would only
weaken our ability to accommodate new business growth.”
-- Mid-American Energy
“We had already bought more storage and processors for the application,
as the transaction rates increased. Although the cost of disk is plunging,
the costs were still significant, and there was still a database issue.”
-- British Telecom
“After months of analysis and many meetings, we could not reach
consensus about what data had to be retained and what data could be
deleted. Consequently, no action was taken to delete any data, and the
[databases] continued to grow.”
-- American Electric Power
© 2013 IBM Corporation
What is archiving?
Data
Archives
Production
Archive
Reference Data
Retrieve
Historical
Historical Data
Can selectively
restore archived
data records
Current
Universal Access to Application Data
Application
ODBC / JDBC
InfoSphere Data
Explorer
InfoSphere
BigInsights
Report Writer
XML
© 2013 IBM Corporation
Archive the complete view of the data, while retaining integrity
Production Databases
Customer
Number
Customer
Name
8675309
8675309
John Smith
John
Smith
5025202
Jane Jones
CRM / Oracle Unix
Customer
Number
Order Amount
8675309
8675309
$1,056
$1,056
5025202
$5,690
Order
Number
Product
50505
Product A
306959
Product B
Order Entry POS /
DB2 for z/OS
Archive Files
Customer
Number
Archive
Customer
Name
Order
Number
Customer
Number
Order
Amount
Product
Account Receivable
/ DB2 Linux
© 2013 IBM Corporation
Important considerations for managing large volumes of data
What data should I be saving, for how long and
for what reasons?
How am I going to find the data when I need it?
How do I ensure I preserve data for e-discovery and
audit needs?
What do I do with the data when I no longer need it?
What is the most appropriate solution to meet
my archiving needs?
What is the cost/benefit analysis to support an
archiving solution acquisition?
© 2013 IBM Corporation
Effectively archive and manage data growth with InfoSphere Optim
Reduce Costs
Improve
Performance
Minimize Risk
Reduce hardware,
software, storage and
maintenance costs of
enterprise applications
by up to 60%
Improve application
uptime by up to
30% and streamline
upgrades by up to 60%
Support data retention
regulations and safely
retire legacy/redundant
applications
• Intelligently archive data to improve application performance and support data retention
• Capture and store historical data in its original business context to maintain referential
integrity
• Ensure application-independent access of archived data via multiple access methods
• Support for custom and packaged ERP applications and data warehouses in
heterogeneous environments
© 2013 IBM Corporation
InfoSphere Optim Archive plays an important role in your organization’s
projects

Managing growing amounts of data in databases and
data warehouses

Streamlining application upgrades

Retaining valuable data for compliance
External
Information
Sources
Databases
ERP
CRM
– When retiring redundant or legacy applications
– For supporting legal hold requirements

Data
Warehouses
Accessing archived data for analytics as part of a big
data strategy
Big Data
Business Analytics
Applications
© 2013 IBM Corporation
Example: Managing data growth in a data warehouse
IBM InfoSphere
Optim
IBM InfoSphere
Optim
•Identify & define
•Establish retention
•Maintain referential
integrity
New Data
“Hot” Data
Aging Data
•Identify & define
•Establish retention
•Maintain referential
integrity
“Warm” Data
Archive Data
“Cold” Data
Classify & archive data by “Hot”, “Warm” &
“Cold” based on age and importance.
This optimization of appropriate storage
helps control overall costs – without
sacrificing accessibility for data retention
needs.
Reporting & Analytic Users
© 2013 IBM Corporation
Example: Archive before an application upgrade project
Older Version
Application
Current
DataData
Application
Upgrade Project
Upgraded Version
Archive
Current Data
Archives
Application
Archives
Streamline application upgrades by archiving
historical data prior to upgrade.
Reduce data conversion time by up to 60-70%,
depending on how much is archived.
© 2013 IBM Corporation
Example: Retire redundant and legacy applications
Infrastructure before Retirement
Archived Data after Consolidation
User
Application
Database
Data
User
User
Application
Database
Data
User
User
Application
Database
Data
User
Archive
Engine
Archive
Data
Retire and/or consolidate out-of-date packaged
applications as well as legacy custom
applications
Preserve application data in its original business
context for data retention needs
© 2013 IBM Corporation
Manage archived data as part of a big data strategy
Derive maximum value from archived data
Big data platform
Social Media
Website
InfoSphere Optim
Archive
ERP
CRM
© 2013 IBM Corporation
Improve application efficiency & reduce costs with InfoSphere Optim
Archive
Discover
Define
Comprehensive
Manage exponential data
growth
Ensure data retention &
minimize risk
Improve application
performance & uptime
Archive
Intelligent
Store
Access
Scalable
 US insurance company reduced
data capacity & storage costs
by $450K through archiving
 Leading communication
company retained data when
retiring 1400 applications for a
savings of $70M/year
 Global manufacturing company
increased application up-time
by up to 30%
The Difference
• Archive & store historical
data, maintaining
referential integrity
• Ensure access of
archived data via multiple
access methods
• Support data retention
needs across
heterogeneous enterprise
environments
© 2013 IBM Corporation
What is the market saying?
“
IBM’s Optim product
line led the database
archiving and ILM
segment in 2010 with a
52.3% share, and
showed nearly 18%
growth in 2010.
Source: IDC – Worldwide
Database Development &
Management Tools 2010
Vendor & Segment Analysis,
December 2011
“
Today, IBM continues to
lead the industry with the
most comprehensive data
archiving solution and the
largest installed base …
IBM’s customers spoke
highly of the Optim
solution’s reliability and
strong performance.
Source: Forrester Research –
“Your Enterprise Data Archiving
Strategy”, N. Yuhanna,
February 2011
“
Organizations can realize
benefits in the form of
improved operational and
capital cost savings,
improved IT and end user
efficiency, as well as
higher levels of data
protection and application
performance [with
InfoSphere Optim].
Source: Forrester Research –
Total Economic Impact Study for
InfoSphere Optim,
October 2009
© 2013 IBM Corporation
CSX Corporation estimates
savings over three years
with InfoSphere Optim
Need
• Manage continued data growth, improve the
delivery of realistic, but masked data to satisfy
application testing and compliance requirements
across mainframe and distributed environments.
Case Study link
http://public.dhe.ibm.com/
common/ssi/ecm/en/imc1
4777usen/IMC14777USE
N.PDF
Benefits
• Improves testing efficiencies to speed the
delivery of reliable application enhancements
• Supports compliance regulations by mitigating
risk in non-production environments
• Supports packaged and custom applications
across both distributed and mainframe
environments
• Estimates substantial savings over three years
© 2013 IBM Corporation
Leverage Self Service Business Value Assessment to make the business
case analysis
Go to ibm.com/optim
and begin your business
value assessment today!
© 2013 IBM Corporation
Learn more
•
Product Family Webpage
•
Demo: InfoSphere Optim Data Growth Solution
•
Solution Sheet: InfoSphere Optim Data Growth
Solution brief
•
Gartner Analyst paper: Market Trends, World
Database Archiving Market Continues Rapid Growth
•
Whitepaper: Control Application Data Before
it Controls Your Business
•
Whitepaper: Anatomy of an Archiving Project
•
Whitepaper: Controlling application data growth in
the z/OS environment
© 2013 IBM Corporation
Thank you
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