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

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PRODUCED BY DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060

CLASSIFICATIONEDUCATION

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4/10/2012© Copyright this and previous years by Data Blueprint - all rights reserved!

Welcome!

Date: April 10, 2012Time: 2:00 PM ETPresenter: Dr. Peter AikenTwitter: #dataed

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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:

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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

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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.

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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

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Tweeting now: #dataed

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The DAMA Guide to the Data Management Body of Knowledge

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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

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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

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Data Management

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Data Management

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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

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Summary: Data Operations Management

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#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

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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

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Source: Dennis T. Turner http://EzineArticles.com/?expert=Dennis_T._Turner #dataed

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Polling Question #1

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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

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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.”

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#dataed Source: Dennis T. Turner http://EzineArticles.com/?expert=Dennis_T._Turner

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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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#dataed

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Goals and Principles

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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


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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?

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

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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

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Individual SDLC Efforts make Increasing Use from IA

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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?

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

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


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from Gartner 2009#dataed


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


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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


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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 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

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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

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• 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

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• 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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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

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

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Polling Question #2

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What has been named the most impactful trend of 2012?

a) Big Data

b) Service-oriented architecture

c) Cloud Computing

d) Reverse Engineering

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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.

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#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

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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

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

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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.

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References



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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

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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

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

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