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Transcript of Data-Ed Online: Data Operations Management: Turning your Challenges into Success
TITLE
PRODUCED BY DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060
CLASSIFICATIONEDUCATION
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Welcome!
Date: April 10, 2012Time: 2:00 PM ETPresenter: Dr. Peter AikenTwitter: #dataed
1
Data Operations Management: Turning your Challenges into Success
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New Feature: Live Twitter Feed
Join the conversation on Twitter! Ask questions and submit your comments:
#dataed
2
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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
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4/10/2012DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION
Data Operations Management
Dr. Peter Aiken: Data Operations Management
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Data Operations Management:
Turning Your Challenges Into SuccessWhile 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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TITLE
PRODUCED BY DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060
CLASSIFICATIONEDUCATION
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Outline1. Data Management Overview2. What is data operations
management?3. Why is data operations management
important?4. Data Operations Management
Building Blocks5. Considerations for improving data
operations management within your organization
6. Guiding Principles & Best Practices7. Take Aways, References & Q&A
6
Tweeting now: #dataed
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The DAMA Guide to the Data Management Body of Knowledge
7
Data Management Functions
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
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The DAMA Guide to the Data Management Body of Knowledge
8
Environmental Elements
Amazon:http://www.amazon.com/DAMA-Guide-Management-Knowledge-DAMA-DMBOK/dp/0977140083Or enter the terms "dama dm bok" at the Amazon search engine
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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
9
#dataed
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Data Management
10
#dataed
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Data Management
11
Manage data coherently.
Share data across boundaries.
Assign responsibilities for data.Engineer data delivery systems.
Maintain data availability.
Data Program Coordination
Organizational Data Integration
Data Stewardship Data Development
Data Support Operations
#dataed
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Outline1. Data Management Overview2. What is data operations
management?3. Why is data operations management
important?4. Data Operations Management
Building Blocks5. Considerations for improving data
operations management within your organization
6. Guiding Principles & Best Practices7. Take Aways, References & Q&A
12
Tweeting now: #dataed
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Summary: Data Operations Management
13
#dataed
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DefinitionData Operations Management• Planning, control, and support for (structured) data assets across
the data lifecycle, from creation and acquisition through archival and purge.
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
14
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Outline1. Data Management Overview2. What is data operations
management?3. Why is data operations management
important?4. Data Operations Management
Building Blocks5. Considerations for improving data
operations management within your organization
6. Guiding Principles & Best Practices7. Take Aways, References & Q&A
15
Tweeting now: #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 tools3. Virtualization + Cloud Technology = Lowered
Data Storage Expenses• Reduces data storage budgets• Low costs and high efficiency due to accessing
virtualized servers through the cloud
16
Source: Dennis T. Turner http://EzineArticles.com/?expert=Dennis_T._Turner #dataed
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Polling Question #1
17
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’d4. 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.”
18
#dataed Source: Dennis T. Turner http://EzineArticles.com/?expert=Dennis_T._Turner
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Outline1. Data Management Overview2. What is data operations
management?3. Why is data operations management
important?4. Data Operations Management
Building Blocks5. Considerations for improving data
operations management within your organization
6. Guiding Principles & Best Practices7. Take Aways, References & Q&A
19
Tweeting now: #dataed
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Data Operations Management Building Blocks
- datablueprint.com 1/26/2010 © Copyright this and previous years by Data Blueprint - all rights reserved!25
Illustration from The DAMA Guide to the Data Management Body of Knowledge p. 37 © 2009 by DAMA International
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20
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Summary: Data Operations Management
21
#dataed
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Goals and Principles
22
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
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
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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…
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
23
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• Manage the availability of data throughout its lifecycle
– What is a data lifecycle?– Acquisition through use/purge?
Goals and Principles: #2
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA Internationalhttp://questgarden.com/56/30/6/071017211441/images/lifecycle.jpg#dataed
24
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from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
Analysis
Design
Build
Test
Maintain#dataed
Goals and Principles: #2, cont’d
25
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Individual SDLC Efforts make Increasing Use from IA
26
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from http://download.oracle.com/docs/cd/B28359_01/server.111/b32024/img/ilm_fig3.gif
Goals and Principles #2, cont’d: What is a data lifecycle?
#dataed
27
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from http://www.inspiredelearning.com/images/Data.Lifecycle.04.jpg
#dataed
Goals and Principles #2, cont’d: What is a data lifecycle?
28
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from http://www.iassistdata.org/images/esciencelifecycle.jpg#dataed
Goals and Principles #2, cont’d: What is a data lifecycle?
29
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from Gartner 2009#dataed
Goals and Principles #2, cont’d: What is a data lifecycle?
30
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from http://libraries.mit.edu/guides/subjects/data-management/lifecycle.jpg#dataed
Goals and Principles #2, cont’d: What is a data lifecycle?
31
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Goals and Principles: #3
Optimize the performance of data delivery systems
– Production DBAs
– Database Administrator• Ensuring performance• Implementing backup/recovery• Ensuring availability• Archiving
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
32
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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
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
33
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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
34
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
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• 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
Data Operations Management Activities, cont’d
35
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
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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
36
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
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Data Ops Mgmt Roles & Responsibilities
37
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
• Suppliers:– Executives– IT Steering Committee– Data Governance Council– Data Stewards– Data Architects and Modelers– Software Developers
• Participants:– Database Administrators– Software Developers– Project Managers– Data Stewards– Data Architects and Analysts– DAM Executives and other IT
Management– IT Operators
• Consumers:– Data creators– Information Consumers– Enterprise Customers– Data Professionals– Other IT Professionals
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Data Operations Management Technology
38
• Database Management Systems
• Data Development Tools
• Database Administration Tools
• Office Productivity Tools from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
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Summary: Data Operations Management
39
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Outline1. Data Management Overview2. What is data operations
management?3. Why is data operations management
important?4. Data Operations Management
Building Blocks5. Considerations for improving data
operations management within your organization
6. Guiding Principles & Best Practices7. Take Aways, References & Q&A
40
Tweeting now: #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
41
Source: David Hurwitz http://www.datacenterjournal.com/it/orchestrated-operations-five-keys-to-it-success/
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Polling Question #2
42
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.
43
#dataed Source: David Hurwitz http://www.datacenterjournal.com/it/orchestrated-operations-five-keys-to-it-success/
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Keys to Success: 6 Responses1. 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
44
Source: David Hurwitz http://www.datacenterjournal.com/it/orchestrated-operations-five-keys-to-it-success/#dataed
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Keys to Success: 6 Responses4. Integrate People and System Processes
• Capable of orchestrating domain automation systems • Examples: release automation and source and
deployment code control5. 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
45
Source: David Hurwitz http://www.datacenterjournal.com/it/orchestrated-operations-five-keys-to-it-success/#dataed
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Outline1. Data Management Overview2. What is data operations
management?3. Why is data operations management
important?4. Data Operations Management
Building Blocks5. Considerations for improving data
operations management within your organization
6. Guiding Principles & Best Practices7. Take Aways, References & Q&A
46
Tweeting now: #dataed
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Guiding Principles1. 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.
47
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
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Guiding Principles6. 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.
48
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International#dataed
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Outline1. Data Management Overview2. What is data operations
management?3. Why is data operations management
important?4. Data Operations Management
Building Blocks5. Considerations for improving data
operations management within your organization
6. Guiding Principles & Best Practices7. Take Aways, References & Q&A
49
Tweeting now: #dataed
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References
- datablueprint.com 1/26/2010 © Copyright this and previous years by Data Blueprint - all rights reserved!57
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
50
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References
- datablueprint.com 1/26/2010 © Copyright this and previous years by Data Blueprint - all rights reserved!58
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
51
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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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4/10/2012© Copyright this and previous years by Data Blueprint - all rights reserved!
Upcoming Events
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May Webinar:How Safe is Your Data? Data Security WebinarMay 15, 2012 @ 2:00 PM ET/11:00 AM PT
June Webinar:Master Data Management: Quality is not an Option but a RequirementJune 12, 2012 @ 2:00 PM ET/11:00 AM PT
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