Data-Ed Online: Data Operations Management: Turning your Challenges into Success

Welcome!
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Data Operations Management: Turning
your Challenges into Success

Date: April 10, 2012
Time: 2:00 PM ET
Presenter: Dr. Peter Aiken
Twitter: #dataed

PRODUCED BY CLASSIFICATION DATE SLIDE
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 4/10/2012 1
© Copyright this and previous years by Data Blueprint - all rights reserved!

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Meet Your Presenter: Dr. Peter Aiken
• Internationally recognized thought-leader in
the data management field with more than 30
years of experience
• Recipient of the 2010 International Stevens
Award
• Founding Director of Data Blueprint
(http://datablueprint.com)
• Associate Professor of Information Systems
at Virginia Commonwealth University
(http://vcu.edu)

• President of DAMA International (http://dama.org)
• DoD Computer Scientist, Reverse Engineering Program Manager/
Office of the Chief Information Officer
• Visiting Scientist, Software Engineering Institute/Carnegie Mellon
University
• 7 books and dozens of articles
• Experienced w/ 500+ data management practices in 20 countries
#dataed

Data Operations
Management

Dr. Peter Aiken: Data Operations Management
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 4/10/2012

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Data Operations Management:
Turning Your Challenges Into Success
While database operations comprise the majority of the
organizational data operations management focus, other data
delivery options, e.g. portals and virtualization, are interacting
with increasingly complex regulatory environments. This presents
organizations with dense analysis challenges in order to
understand reporting obligations. Using the Zachman Framework
as a guide, you will learn how to understand and approach data
operations challenges from tuning to real-time reconfiguration.
This presentation provides you with an understanding of data
operations management, including the initiation, operation,
tuning, maintenance, backup/recovery, archiving and disposal of
data assets in support of organizational strategies and other
activities.

#dataed

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Outline
1. Data Management Overview
2. What is data operations
management?
3. Why is data operations management
important?
4. Data Operations Management
Building Blocks
5. Considerations for improving data
operations management within your
organization
6. Guiding Principles & Best Practices
7. Take Aways, References & Q&A Tweeting now:
#dataed


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The DAMA Guide to the Data Management Body of Knowledge
Published by DAMA
International
• The professional
association for Data
Managers (40
chapters worldwide)
DMBoK organized
around
• Primary data
management
functions focused
around data delivery
to the organization
• Organized around
several
environmental
elements

Data Management Functions

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The DAMA Guide to the Data Management Body of Knowledge

Amazon:
http://
www.amazon.com/
DAMA-Guide-
Management-
Knowledge-DAMA-
DMBOK/dp/
0977140083
Or enter the terms
"dama dm bok" at the
Amazon search
engine

Environmental Elements

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What is the CDMP?
• Certified Data Management
Professional
• DAMA International and ICCP
• Membership in a distinct group made
up of your fellow professionals
• Recognition for your specialized
knowledge in a choice of 17 specialty
areas
• Series of 3 exams
• For more information, please visit:
– http://www.dama.org/i4a/pages/
index.cfm?pageid=3399
– http://iccp.org/certification/
designations/cdmp
#dataed

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Data Management

#dataed

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Data Management
Manage data coherently.

Data Program
Coordination
Share data across boundaries.
Organizational
Data Integration

Data Stewardship Data Development

Assign responsibilities for data.
Engineer data delivery systems.

Data Support
Operations

Maintain data availability.

#dataed

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Outline
management?
important?
Building Blocks
organization
#dataed


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Summary: Data Operations Management

#dataed

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Definition
Data Operations Management
• Planning, control, and support for (structured) data assets across
the data lifecycle, from creation and acquisition through archival and
purge.

#dataed
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International

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Outline
management?
important?
Building Blocks
organization
#dataed


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Top 2012 Trends
1. The Big Switch: Cloud Computing
• Companies are gathering, analyzing, and storing more
data than ever before
• Cloud storage solutions lead to increased bandwidth –
BIG DATA demanded by today’s organizations can be
accessed more easily
2. Tools that Facilitate Remote Teamwork
• With access to company data via The Cloud, employees
no longer need to access a local server, so they can work
anywhere with secure Internet access.
• Challenge: Monitoring employee productivity remotely.
• Demand for remote collaboration and project
management tools
3. Virtualization + Cloud Technology = Lowered
Data Storage Expenses
• Reduces data storage budgets
• Low costs and high efficiency due to accessing
virtualized servers through the cloud
#dataed Source: Dennis T. Turner http://EzineArticles.com/?expert=Dennis_T._Turner

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Polling Question #1
Sales for mobile use are on the rise, tablets are
increasingly popular for personal and business use. Fast
forward to 2015 and what do you think:

a) Tablet sales = PC sales

b) Tablet sales > PC sales

c) Tablet sales < PC sales

d) Tablets and PCs become
obsolete and are replaced by
smartphones

#dataed

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Top 2012 Trends, cont’d
4. IT Outsourcing Gains
Popularity
• Cloud technology moves data
operations offsite.
5. The Move to Mobile
• By 2015, nearly as many tablets will
be sold each year as PCs
• Create mobile software applications
• Cloud computing will drive IT
outsourcing trends in 2012
• 2012 is “The Year of the Cloud.”
#dataed Source: Dennis T. Turner http://EzineArticles.com/?expert=Dennis_T._Turner

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Outline
management?
important?
Building Blocks
organization
#dataed


Illustration from The DAMA Guide to the Data Management Body of Knowledge p. 37 © 2009 by DAMA International

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Data Operations Management Building Blocks

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© 25 - datablueprint.com
Copyright this and previous years by Data Blueprint - all rights reserved! 1/26/2010 © Copyright this and previous years by Data Blueprint - all rights reserved!

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#dataed

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Goals and Principles
1. Protect and ensure the
integrity of "structured"
data assets

2. Manage the availability of
data throughout its
lifecycle

3. Optimize the performance
of data delivery systems

#dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International


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Goals and Principles: #1
• Protect and ensure the
integrity of "structured" data assets
– Replace structured versus unstructured
terminology with tabular versus non-
tabular
– Why stop at structured or non-tabular?
– The data is honest?
– Data quality implications…



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• Manage the availability of data
throughout its lifecycle
– What is a data lifecycle?
– Acquisition through use/purge?

#dataed http://questgarden.com/56/30/6/071017211441/images/lifecycle.jpg

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Goals and Principles: #2, cont’d

Analysis
Design
Build
Test
#dataed Maintain

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Individual SDLC Efforts make Increasing Use from IA


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Goals and Principles #2, cont’d:
What is a data lifecycle?

#dataed from http://download.oracle.com/docs/cd/B28359_01/server.111/b32024/img/ilm_fig3.gif


from http://www.inspiredelearning.com/images/Data.Lifecycle.04.jpg
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#dataed

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#dataed from http://www.iassistdata.org/images/esciencelifecycle.jpg


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from Gartner 2009
#dataed

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#dataed from http://libraries.mit.edu/guides/subjects/data-management/lifecycle.jpg


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Optimize the performance of data delivery systems
– Production DBAs
– Database Administrator
• Ensuring performance
• Implementing backup/recovery
• Ensuring availability
• Archiving



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Goals and Principles #3, cont’d
• Production DBA Deliverables
– A production environment
– Controlled implementation and changes
– Availability
– Proactive error prevention, detection and correction
– SLA (service level agreements)
• Updating DBMS (database management system)
software
– Coordinating multiple installations
– Tuning DBMS parameters
– Maintaining connectivity
– Ensuring adequate storage


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Data Operations Management Activities
• Database Support
– Implement and Control Database Environments
– Obtain Externally Sourced Data
– Plan for Data Recovery
– Backup and Recover Data
– Set Database Performance Service Levels
– Monitor and Tune Database Performance
– Plan for Data Retention
– Archive, retain, and Purge Data
– Support Specialized Databases

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Data Operations Management Activities, cont’d
• Data Technology Management
– Understand Data Technology
Requirements
– Define the Data Technology
Architecture
– Evaluate Data Technology
– Install and Administer Data
Technology
– Inventory and Track Data
Technology Licenses
– Support Data Technology Usage
and Issues

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Primary Deliverables
• DBMS Technical
Environments
• Dev/Test, QA, DR, and
Production Databases
• Externally Sourced Data
• Database Performance
• Data Recovery Plans
• Business Continuity
• Data Retention Plan
• Archived and Purged Data

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Data Ops Mgmt Roles & Responsibilities
• Suppliers: • Consumers:
– Executives – Data creators
– IT Steering Committee – Information Consumers
– Data Governance Council
– Enterprise Customers
– Data Stewards
– Data Professionals
– Data Architects and Modelers
– Software Developers
– Other IT Professionals
• Participants:
– Database Administrators
– Software Developers
– Project Managers
– Data Stewards
– Data Architects and Analysts
– DAM Executives and other IT
Management
– IT Operators


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Data Operations Management Technology

• Database Management Systems
• Data Development Tools
• Database Administration Tools
• Office Productivity Tools

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Outline
management?
important?
Building Blocks
operations management within
your organization
#dataed


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Keys to Success: 5 Trends
1. Configurable Ops
• Make run-time environments deeply configurable
• Configurable environments reduce the need for
deployments by allowing for meaningful updates to the end-
user experience without rolling new code into production
2. Lean Techniques
• The lean methodology emphasizes the removal of waste,
where waste is defined as non-value-added activity
• Two important manifestations of lean techniques include
“just-in-time” provisioning and the use of “pull versus push”
production control
3. Accelerated Cadence
• Weekly, daily or even hourly deployment cycles due to
accelerated cadence of a rapidly evolving online world
• Unavoidable need to deploy much more often than before.
To state the obvious, to deploy much more often is to
deploy much faster
• This will lead to much tighter release windows

Source: David Hurwitz http://www.datacenterjournal.com/it/orchestrated-operations-five-keys-to-it-success/

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Polling Question #2
What has been named the most impactful trend of 2012?

a) Big Data

b) Service-oriented architecture

c) Cloud Computing

d) Reverse Engineering

#dataed

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Keys to Success: 5 Trends, Continued

4. Hybrid Architectures
• Today’s operational environments increasingly comprise a mix
of on-premise data centers and cloud-based services or apps
• More and more on-premise servers are virtualized, leading to
server sprawl and its attendant operator overconsumption
• Between virtualized application servers, web servers and
database servers, data center operators are busier than ever.

5. Consumerization of IT
• End users access IT services on their own phones, tablets
and browsers, often while working from home or on the
road
• This makes IT-user engagement more important than ever;
they expect to interact with IT in a similarly handy manner.

#dataed Source: David Hurwitz http://www.datacenterjournal.com/it/orchestrated-operations-five-keys-to-it-success/

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Keys to Success: 6 Responses
1. Synchronize People with Process
• Entire operations staff should organize around a
single process management system. This doesn’t
need to occur in one phase
2. Systematize Demand Management
• Use a unified demand management system to pull
work through IT and to unify ops with dev.
• Specific to ops, such a demand management system
provides a consistent response mechanism for 100
percent of the work undertaken by sys admins and
operators. This gives IT a web-mobile face
3. Automate, Automate, Automate
• Automate all repetitive, time-critical tasks
• Eliminate costs, e.g. quality issues and waste of time
• Prime candidate; application release activities



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Keys to Success: 6 Responses
4. Integrate People and System Processes
• Capable of orchestrating domain automation systems
• Examples: release automation and source and
deployment code control
5. Rally around an Operations Calendar
• Perfect visual control system for every part of ops
• Live system, should take multiple forms: traditional
calendar, Gantt chart, dependency tree and so on
6. Orchestrate Service Management
• Service management is the most visible component of
IT ops and also the one that is the most process mature
• ITSM, however, remains stuck in the 20th century in too
many shops. Orchestrated service management is
process based, focused on moving work to conclusion
instead of mere record keeping, and it is also visually
configurable to keep up with ongoing process changes


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Outline
management?
important?
Building Blocks
organization
#dataed


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Guiding Principles
1. Write everything down.

2. Keep everything.

3. Whenever possible, automate a
procedure.

4. Focus to understand the purpose
of each task, manage scope,
simplify, do one thing at a time.

5. Measure twice, cut once.

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Guiding Principles
6. Don’t panic; react calmly and
rationally, because panic causes
more errors.
7. Understand the business, not just
the technology.
8. Work together to collaborate, be
accessible, audit each other’s
work, share your knowledge.
9. Use all of the resources at your
disposal.
10. Keep up to date.

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Outline
management?
important?
Building Blocks
organization
#dataed


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References


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Questions?

+ =

It’s your turn!
Use the chat feature or Twitter (#dataed) to submit
your questions to Peter now.


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Upcoming Events
May Webinar:
How Safe is Your Data? Data Security Webinar
May 15, 2012 @ 2:00 PM ET/11:00 AM PT

June Webinar:
Master Data Management:
Quality is not an Option but a Requirement
June 12, 2012 @ 2:00 PM ET/11:00 AM PT

Sign up here:
• www.datablueprint.com/webinar-schedule
• www.Dataversity.net
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