Home > Store

Patterns of Information Management

Register your product to gain access to bonus material or receive a coupon.

Patterns of Information Management

Book

  • Sorry, this book is no longer in print.
Not for Sale

About

Features

  • Comprehensive guide to the industry best practices for managing information in an organization.
  • Provides a vocabulary to allow business executives and IT architects to discuss design alternatives around information strategy, architecture and implementation.
  • Bridges between Services Oriented Architecture, Business Process Management, Information Management and Analytics to ensure the right information is available just to those who need it – in a flexible and cost-effective manner.
  • A collection of related design patterns with examples and illustrations that clearly explain how information should be managed within an organization.
  • This book contains architectural patterns for designing information supply chains. The patterns explain how information is transformed, enriched, reconciled and redistributed along the information supply chain.  The aim is to shape the way systems are integrated to create an orderly flow of information that can be reused and synchronized at key points in the processing.

Audio & Video

Video

Description

  • Copyright 2013
  • Dimensions: 7" x 9"
  • Pages: 736
  • Edition: 1st
  • Book
  • ISBN-10: 0-13-315550-1
  • ISBN-13: 978-0-13-315550-1

Use Best Practice Patterns to Understand and Architect Manageable, Efficient Information Supply Chains That Help You Leverage All Your Data and Knowledge

In the era of “Big Data,” information pervades every aspect of the organization. Therefore, architecting and managing it is a multi-disciplinary task. Now, two pioneering IBM® architects present proven architecture patterns that fully reflect this reality. Using their pattern language, you can accurately characterize the information issues associated with your own systems, and design solutions that succeed over both the short- and long-term.

Building on the analogy of a supply chain, Mandy Chessell and Harald C. Smith explain how information can be transformed, enriched, reconciled, redistributed, and utilized in even the most complex environments. Through a realistic, end-to-end case study, they help you blend overlapping information management, SOA, and BPM technologies that are often viewed as competitive.

Using this book’s patterns, you can integrate all levels of your architecture–from holistic, enterprise, system-level views down to low-level design elements. You can fully address key non-functional requirements such as the amount, quality, and pace of incoming data. Above all, you can create an IT landscape that is coherent, interconnected, efficient, effective, and manageable.

Coverage Includes

  • Understanding how a pattern language can help you address key information management challenges
  • Defining information strategy and governance for organizations and users
  • Creating orderly information flows you can reuse and synchronize as needed
  • Managing information structure, meaning, and lifecycles
  • Providing for efficient information access and storage when deploying new IT capabilities
  • Moving information efficiently and reliably to support your processes
  • Determining how information should be processed and maintained
  • Improving quality and accessibility, and supporting higher-value analytics
  • Protecting information via validation, transformation, enrichment, correction, security, and monitoring
  • Planning new information management projects in the context of your existing IT resources

Sample Content

Online Sample Chapter

Introduction to Patterns of Information Management

Table of Contents

About the Authors    xxix

Chapter 1  Introduction    1

Islands of Information    1

Introducing MCHS Trading    2

Improving an Organization’s Information Management    4

Patterns and Pattern Languages    7

Basic Components in the Pattern Language    11

Information Integration and Distribution    12

Pattern Language Structure    15

Summary    22

Chapter 2  The MCHS Trading Case Study    25

Introduction    25

Building an Information Strategy    26

Creating Management Reports    28

Creating a Single View of Product Details    30

Creating a Single View of Customer Details    37

Understanding the Status of Orders    44

Delivering Information Quality Improvements    47

Connecting MCHS Trading into a B2B Trading Partnership    51

Exploiting Predictive Analytics    55

Summary of Case Study    67

Chapter 3  People and Organizations    69

Information Centric Organization Patterns    70

Information Centric Organization    73

Information Management Obligation    78

Information Management Strategy    81

Information Management Principle    83

Information Governance Program    88

Information User Patterns    91

Information User    92

Variations of the Information User Pattern    95

Summary    97

Chapter 4  Information Architecture    99

Information Element Patterns    100

Information Element    101

Entity-Level Information Elements    106

Information Asset    107

Information Activity    110

Information Event    113

Information Processing Variables    114

Information Summary    117

Message-Level Information Elements    119

Information Payload    119

Attribute-Level Information Elements    122

Information Link    123

Information Metric    124

Information Code    126

Summary of Information Elements    129

Information Identification Patterns    129

Information Identification    130

Defining Which Information to Manage and How    133

Subject Area Definition    134

Valid Values Definition    136

Information Configuration    139

Defining How Information Is Structured    141

Information Model    141

Information Schema    143

Locating the Right Information to Use    145

Information Location    146

Semantic Tagging    148

Semantic Mapping    150

Different Reports About Information    153

Information Values Report    154

Information Values Profile    156

Information Lineage    159

Summary of Information Identification    161

Information Provisioning Patterns    161

Information Provisioning    163

Localized Provisioning    166

User Private Provisioning    167

Application Private Provisioning    169

Process-Level Provisioning    171

Daisy Chain Provisioning    172

Service-Level Provisioning    177

User Shared Provisioning    178

Service Oriented Provisioning    179

Linked Information Provisioning    182

Cache Provisioning    184

Collection-Level Provisioning    185

Snap Shot Provisioning    186

Mirroring Provisioning    189

Peer Provisioning    193

Event-Based Provisioning    196

Recovery Provisioning    197

Summary of Information Provisioning    199

Information Supply Chain Patterns    199

Information Supply Chain    200

Variations of the Information Supply Chain Pattern    209

Cascading Information Supply Chain    211

Hub Interchange Information Supply Chain    215

Single View Information Supply Chain    219

Consolidating Information Supply Chain    223

Hierarchical Information Supply Chain    225

Peer Exchange Information Supply Chain    230

Summary of Information Supply Chains    232

Summary    232

Chapter 5  Information at Rest    235

Information Service Patterns    236

Information Service    238

Information Service Implementation Patterns    243

Local Information Service    243

Remote Information Service    246

Triggering Information Service    250

Summary of Information Services    253

Information Collection Patterns    253

Information Collection    254

Location of Information    259

Physical Information Collection    260

Virtual Information Collection    263

Usage of an Information Collection    266

Master Usage    267

Reference Usage    271

Hybrid Usage    274

Sandbox Usage    277

Scope of an Information Collection    279

Complete Scope    280

Local Scope    282

Transient Scope    284

Coverage of an Information Collection    285

Complete Coverage    285

Core Coverage    286

Extended Coverage    286

Local Coverage    287

Summary of Information Collections    287

Information Entry Patterns    288

Information Entry    289

Identifying Information Using the Information Key    292

Information Key    295

Local Key    297

Recycled Key    300

Natural Key    302

Mirror Key    305

Aggregate Key    307

Caller’s Key    310

Stable Key    312

Structures for an Information Entry    316

Locking for an Information Entry    317

Specialized Operations for an Information Entry    317

Summary of Information Entries    318

Information Node Patterns    319

Information Node    320

Business Information Nodes    324

Application Node    326

Information Content Node    330

Search Node    332

Information Store    334

Information Mart    337

Information Cube    340

Integration Nodes    343

Information Broker    343

Queue Manager    349

Staging Area    353

Look-Up Table Node    356

Event Correlation Node    358

Operational Data Stores and Hubs    360

Information Mirror Store    361

Information Event Store    364

Operational Status Store    366

Information Asset Hub    368

Information Activity Hub    372

Big Data Information Processing Nodes    376

Information Warehouse    377

Streaming Analytics Node    380

Map-Reduce Node    382

Analysis Information Nodes    385

Information Analysis Node    386

Information Mining Store    389

Summary of Information Nodes    393

Summary    394

Chapter 6  Information in Motion    395

Information Request Patterns    396

Information Request    396

Variations of the Information Request Pattern    398

Summary of Information Requests    401

Information Flow Patterns    401

Information Flow    403

Routing Information Flows    406

Staged Routing    407

Partitioned Routing    410

Buffered Routing    413

Filtered Routing    416

Summarized Routing    418

Consolidating Information Flows    420

Synchronized Consolidation    421

Filtered Consolidation    424

Ordered Consolidation    427

Independent Consolidation    429

Distributing Information Flows    432

Synchronized Distribution    433

Partitioned Distribution    436

Ordered Distribution    439

Independent Distribution    441

Broadcast Distribution    444

Summary of Information Flow Patterns    446

Summary    447

Chapter 7  Information Processing    449

Information Trigger Patterns    450

Information Trigger    450

Variations of the Information Trigger Pattern    453

Manual Information Trigger    453

Scheduled Information Trigger    455

Information Service Trigger    458

Information Change Trigger    460

External Sensor Trigger    462

Summary of Information Triggers    465

Information Process Patterns    465

Information Process    466

Business Processes    469

Bespoke Application Process    471

Packaged Application Process    472

Agile Business Process    474

State Driven Process    476

Collaborative Editing Process    479

Information Reporting Process    481

Quality Information Processes    483

Information Profile Tracking Process    484

Clerical Review Process    487

Information Remediation Process    489

Information Validation Process    491

Information Matching Process    493

Information Ever-Greening Process    496

Information Archiving Process    497

Provisioning Information Processes    499

Information Replication Process    500

Information Deployment Process    502

Information Relocation Process    505

Information Federation Process    507

Information Queuing Process    509

Information Broadcasting Process    511

Information Summarizing Process    513

Information Scavenging Process    515

Analytics Processes    517

Information Pattern Discovery Process    518

Information Decision Definition Process    521

Information Pattern Detecting Process    523

Search Processes    525

IT Service Management Processes    526

Operational Health Monitoring Process    527

Information Node Management Process    528

Scheduling Process    530

Summary of Information Processes    531

Summary    532

Chapter 8  Information Protection    533

Information Reengineering Step Patterns    534

Information Reengineering Step    534

Specialist Information Reengineering Steps    538

Restructure Data    539

Standardize Data    542

Enrich Data    545

Classify Data    546

Check Data    548

Correct Data    550

Link Entries    553

Merge Entries    556

Separate Entries    558

Derive Value    560

Derive Relationship    562

Smooth Data    563

Sample Data    565

Information Guard Patterns    566

Information Guard    567

Variations of the Information Guard Pattern    570

Information Probe Patterns    572

Information Probe    572

Variations of the Information Probe Pattern    575

Summary    576

Chapter 9  Solutions for Information Management    577

Information Solution Patterns    578

Information Solution    578

Patterns for Changing Information Nodes    582

New Information Node    583

Information Node Upgrade    587

Patterns for Integrating Information Nodes    590

Distributed Activity Status    590

Semantic Integration    593

Partner Collaboration    597

Patterns for Master Data Management    599

Shared Master    601

Centralized Master    604

Information Registry    607

Golden Reference    610

Synchronized Masters    613

Patterns for Big Data and Warehouses    618

Historical System of Record    619

Workload Offload    624

Patterns for Business Intelligence and Analytics    626

Performance Reporting    626

Operational Analytics    628

Next Best Action    630

Patterns for Information Protection    633

Managed Archive    634

Information Access Audit    636

Information Monitoring    638

Summary of Information Solutions    642

Final Thoughts    642

Appendix 1  Glossary    643

Appendix 2  Summary of MCHS Trading’s Systems    649

Appendix 3  Related Pattern Languages    651

Appendix 4  Bibliography    653

Information Centric Organization    653

Enterprise Architecture    653

Enterprise Application Architecture    654

Service-Oriented Architecture and Web Services    655

Information Architecture    655

Data Models    655

Metadata Management    656

Information Warehouse    657

Information Integration    657

Information Quality    658

Master Data Management    659

Big Data    659

Analytics and Reporting    660

Information Security and Privacy    660

Information Life-Cycle Management    661

Patterns Index    663

Index    669

More Information

InformIT Promotional Mailings & Special Offers

I would like to receive exclusive offers and hear about products from InformIT and its family of brands. I can unsubscribe at any time.

Overview


Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information


To conduct business and deliver products and services, Pearson collects and uses personal information in several ways in connection with this site, including:

Questions and Inquiries

For inquiries and questions, we collect the inquiry or question, together with name, contact details (email address, phone number and mailing address) and any other additional information voluntarily submitted to us through a Contact Us form or an email. We use this information to address the inquiry and respond to the question.

Online Store

For orders and purchases placed through our online store on this site, we collect order details, name, institution name and address (if applicable), email address, phone number, shipping and billing addresses, credit/debit card information, shipping options and any instructions. We use this information to complete transactions, fulfill orders, communicate with individuals placing orders or visiting the online store, and for related purposes.

Surveys

Pearson may offer opportunities to provide feedback or participate in surveys, including surveys evaluating Pearson products, services or sites. Participation is voluntary. Pearson collects information requested in the survey questions and uses the information to evaluate, support, maintain and improve products, services or sites, develop new products and services, conduct educational research and for other purposes specified in the survey.

Contests and Drawings

Occasionally, we may sponsor a contest or drawing. Participation is optional. Pearson collects name, contact information and other information specified on the entry form for the contest or drawing to conduct the contest or drawing. Pearson may collect additional personal information from the winners of a contest or drawing in order to award the prize and for tax reporting purposes, as required by law.

Newsletters

If you have elected to receive email newsletters or promotional mailings and special offers but want to unsubscribe, simply email information@informit.com.

Service Announcements

On rare occasions it is necessary to send out a strictly service related announcement. For instance, if our service is temporarily suspended for maintenance we might send users an email. Generally, users may not opt-out of these communications, though they can deactivate their account information. However, these communications are not promotional in nature.

Customer Service

We communicate with users on a regular basis to provide requested services and in regard to issues relating to their account we reply via email or phone in accordance with the users' wishes when a user submits their information through our Contact Us form.

Other Collection and Use of Information


Application and System Logs

Pearson automatically collects log data to help ensure the delivery, availability and security of this site. Log data may include technical information about how a user or visitor connected to this site, such as browser type, type of computer/device, operating system, internet service provider and IP address. We use this information for support purposes and to monitor the health of the site, identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents and appropriately scale computing resources.

Web Analytics

Pearson may use third party web trend analytical services, including Google Analytics, to collect visitor information, such as IP addresses, browser types, referring pages, pages visited and time spent on a particular site. While these analytical services collect and report information on an anonymous basis, they may use cookies to gather web trend information. The information gathered may enable Pearson (but not the third party web trend services) to link information with application and system log data. Pearson uses this information for system administration and to identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents, appropriately scale computing resources and otherwise support and deliver this site and its services.

Cookies and Related Technologies

This site uses cookies and similar technologies to personalize content, measure traffic patterns, control security, track use and access of information on this site, and provide interest-based messages and advertising. Users can manage and block the use of cookies through their browser. Disabling or blocking certain cookies may limit the functionality of this site.

Do Not Track

This site currently does not respond to Do Not Track signals.

Security


Pearson uses appropriate physical, administrative and technical security measures to protect personal information from unauthorized access, use and disclosure.

Children


This site is not directed to children under the age of 13.

Marketing


Pearson may send or direct marketing communications to users, provided that

  • Pearson will not use personal information collected or processed as a K-12 school service provider for the purpose of directed or targeted advertising.
  • Such marketing is consistent with applicable law and Pearson's legal obligations.
  • Pearson will not knowingly direct or send marketing communications to an individual who has expressed a preference not to receive marketing.
  • Where required by applicable law, express or implied consent to marketing exists and has not been withdrawn.

Pearson may provide personal information to a third party service provider on a restricted basis to provide marketing solely on behalf of Pearson or an affiliate or customer for whom Pearson is a service provider. Marketing preferences may be changed at any time.

Correcting/Updating Personal Information


If a user's personally identifiable information changes (such as your postal address or email address), we provide a way to correct or update that user's personal data provided to us. This can be done on the Account page. If a user no longer desires our service and desires to delete his or her account, please contact us at customer-service@informit.com and we will process the deletion of a user's account.

Choice/Opt-out


Users can always make an informed choice as to whether they should proceed with certain services offered by InformIT. If you choose to remove yourself from our mailing list(s) simply visit the following page and uncheck any communication you no longer want to receive: www.informit.com/u.aspx.

Sale of Personal Information


Pearson does not rent or sell personal information in exchange for any payment of money.

While Pearson does not sell personal information, as defined in Nevada law, Nevada residents may email a request for no sale of their personal information to NevadaDesignatedRequest@pearson.com.

Supplemental Privacy Statement for California Residents


California residents should read our Supplemental privacy statement for California residents in conjunction with this Privacy Notice. The Supplemental privacy statement for California residents explains Pearson's commitment to comply with California law and applies to personal information of California residents collected in connection with this site and the Services.

Sharing and Disclosure


Pearson may disclose personal information, as follows:

  • As required by law.
  • With the consent of the individual (or their parent, if the individual is a minor)
  • In response to a subpoena, court order or legal process, to the extent permitted or required by law
  • To protect the security and safety of individuals, data, assets and systems, consistent with applicable law
  • In connection the sale, joint venture or other transfer of some or all of its company or assets, subject to the provisions of this Privacy Notice
  • To investigate or address actual or suspected fraud or other illegal activities
  • To exercise its legal rights, including enforcement of the Terms of Use for this site or another contract
  • To affiliated Pearson companies and other companies and organizations who perform work for Pearson and are obligated to protect the privacy of personal information consistent with this Privacy Notice
  • To a school, organization, company or government agency, where Pearson collects or processes the personal information in a school setting or on behalf of such organization, company or government agency.

Links


This web site contains links to other sites. Please be aware that we are not responsible for the privacy practices of such other sites. We encourage our users to be aware when they leave our site and to read the privacy statements of each and every web site that collects Personal Information. This privacy statement applies solely to information collected by this web site.

Requests and Contact


Please contact us about this Privacy Notice or if you have any requests or questions relating to the privacy of your personal information.

Changes to this Privacy Notice


We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020