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Business Metadata: Capturing Enterprise Knowledge

Business Metadata: Capturing Enterprise Knowledge
  • Author : W.H. Inmon,Bonnie O'Neil,Lowell Fryman
  • Publisher :Unknown
  • Release Date :2010-07-28
  • Total pages :312
  • ISBN : 008055220X
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Summary : Business Metadata: Capturing Enterprise Knowledge is the first book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management. Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, the book is filled with war stories, examples, and cases from current projects. It includes a complete metadata acquisition methodology and project plan to guide readers every step of the way, and sample unstructured metadata for use in self-testing and developing skills. This book is recommended for IT professionals, including those in consulting, working on systems that will deliver better knowledge management capability. This includes people in these positions: data architects, data analysts, SOA architects, metadata analysts, repository (metadata data warehouse) managers as well as vendors that have a metadata component as part of their systems or tools. First book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories, examples, and cases from current projects Very practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the way Includes sample unstructured metadata for use in self-testing and developing skills

Business Metadata

Business Metadata
  • Author : William H. Inmon,Bonnie K. O'Neil,Lowell Fryman
  • Publisher :Unknown
  • Release Date :2008
  • Total pages :292
  • ISBN : 0123737265
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Summary : This book is about all the groundwork necessary for IT to really support corporate knowledge management properly, by providing not just data, but the context behind the data.

Enterprise Architecture & Metadata Modeling

Enterprise Architecture & Metadata Modeling
  • Author : Carl Turco
  • Publisher :Unknown
  • Release Date :2009-05-01
  • Total pages :164
  • ISBN : 9780741453044
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Summary : After the economic debacle of 2008, corporations must increase control over their I.T. infrastructures. We expound a way of managing the business vision realization and facilitate swift response to change.

Metadata Management with IBM InfoSphere Information Server

Metadata Management with IBM InfoSphere Information Server
  • Author : Wei-Dong Zhu,Tuvia Alon,Gregory Arkus,Randy Duran,Marc Haber,Robert Liebke,Frank Morreale Jr.,Itzhak Roth,Alan Sumano,IBM Redbooks
  • Publisher :Unknown
  • Release Date :2011-10-18
  • Total pages :458
  • ISBN : 9780738435992
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Summary : What do you know about your data? And how do you know what you know about your data? Information governance initiatives address corporate concerns about the quality and reliability of information in planning and decision-making processes. Metadata management refers to the tools, processes, and environment that are provided so that organizations can reliably and easily share, locate, and retrieve information from these systems. Enterprise-wide information integration projects integrate data from these systems to one location to generate required reports and analysis. During this type of implementation process, metadata management must be provided along each step to ensure that the final reports and analysis are from the right data sources, are complete, and have quality. This IBM® Redbooks® publication introduces the information governance initiative and highlights the immediate needs for metadata management. It explains how IBM InfoSphereTM Information Server provides a single unified platform and a collection of product modules and components so that organizations can understand, cleanse, transform, and deliver trustworthy and context-rich information. It describes a typical implementation process. It explains how InfoSphere Information Server provides the functions that are required to implement such a solution and, more importantly, to achieve metadata management. This book is for business leaders and IT architects with an overview of metadata management in information integration solution space. It also provides key technical details that IT professionals can use in a solution planning, design, and implementation process.

Aligning Business and IT with Metadata

Aligning Business and IT with Metadata
  • Author : Hans Wegener
  • Publisher :Unknown
  • Release Date :2007-08-20
  • Total pages :310
  • ISBN : 0470510587
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Summary : Financial services institutions like international banks and insurance companies frequently need to adapt to changes in their environments, yet manage risk and ensure regulatory compliance. The author Hans Wegener reveals how metadata can be used to achieve a successful and technological evolution. This unique approach is divided into three parts to: Explain how metadata can be used to increase an organization's ability to adopt changes Outline the peculiarities of financial corporations and how they affect value creation and solution design Present the practical side of effectively managing metadata and sustaining long term success Wegener firstly illustrates the peculiarities of both metadata management and the financial services industry. He combines both, puts them into context of use, and explains where and how this makes life difficult, as well as where and how value is created. This enables the reader to understand the impact of metadata management on his/her organization, its typical side effects, necessities, and benefits. The book then goes onto reveal how different crosscutting concerns managed in large financial corporations (change, risk, and compliance management) can revolutionize business by supporting them with metadata management. This provides a blueprint to be used in strategic planning. Finally, the mechanics of three important practical areas are discussed in-depth, namely managing evolution, quality, and sustainability. This provides helpful scripts for practitioners to be used in real-life.

Business Metadata: Capturing Enterprise Knowledge

Business Metadata: Capturing Enterprise Knowledge
  • Author : W.H. Inmon,Bonnie O'Neil,Lowell Fryman
  • Publisher :Unknown
  • Release Date :2010-07-28
  • Total pages :312
  • ISBN : 008055220X
GET BOOK HERE

Summary : Business Metadata: Capturing Enterprise Knowledge is the first book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management. Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, the book is filled with war stories, examples, and cases from current projects. It includes a complete metadata acquisition methodology and project plan to guide readers every step of the way, and sample unstructured metadata for use in self-testing and developing skills. This book is recommended for IT professionals, including those in consulting, working on systems that will deliver better knowledge management capability. This includes people in these positions: data architects, data analysts, SOA architects, metadata analysts, repository (metadata data warehouse) managers as well as vendors that have a metadata component as part of their systems or tools. First book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories, examples, and cases from current projects Very practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the way Includes sample unstructured metadata for use in self-testing and developing skills

Data Model Patterns: A Metadata Map

Data Model Patterns: A Metadata Map
  • Author : David C. Hay
  • Publisher :Unknown
  • Release Date :2010-07-20
  • Total pages :432
  • ISBN : 0080477038
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Summary : Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts. It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools. This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential to keep track of the various physical components of these systems and their semantics. The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers. A comprehensive work based on the Zachman Framework for information architecture—encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation) Provides a step-by-step description of model and is organized so that different readers can benefit from different parts Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) Presents many concepts that are not currently being addressed by such tools — and should be

Business Intelligence

Business Intelligence
  • Author : David Loshin
  • Publisher :Unknown
  • Release Date :2012-11-27
  • Total pages :400
  • ISBN : 9780123858900
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Summary : Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts. Guides managers through developing, administering, or simply understanding business intelligence technology Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization’s data into actionable knowledge Contains a handy, quick-reference to technologies and terminology

Healthcare Business Intelligence

Healthcare Business Intelligence
  • Author : Laura Madsen
  • Publisher :Unknown
  • Release Date :2012-07-20
  • Total pages :336
  • ISBN : 9781118282335
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Summary : Solid business intelligence guidance uniquely designed for healthcare organizations Increasing regulatory pressures on healthcare organizations have created a national conversation on data, reporting and analytics in healthcare. Behind the scenes, business intelligence (BI) and data warehousing (DW) capabilities are key drivers that empower these functions. Healthcare Business Intelligence is designed as a guidebook for healthcare organizations dipping their toes into the areas of business intelligence and data warehousing. This volume is essential in how a BI capability can ease the increasing regulatory reporting pressures on all healthcare organizations. Explores the five tenets of healthcare business intelligence Offers tips for creating a BI team Identifies what healthcare organizations should focus on first Shows you how to gain support for your BI program Provides tools and techniques that will jump start your BI Program Explains how to market and maintain your BI Program The risk associated with doing BI/DW wrong is high, and failures are well documented. Healthcare Business Intelligence helps you get it right, with expert guidance on getting your BI program started and successfully keep it going.

Data Warehousing Fundamentals for IT Professionals

Data Warehousing Fundamentals for IT Professionals
  • Author : Paulraj Ponniah
  • Publisher :Unknown
  • Release Date :2011-09-20
  • Total pages :608
  • ISBN : 9781118211304
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Summary : CUTTING-EDGE CONTENT AND GUIDANCE FROM A DATA WAREHOUSING EXPERT—NOW EXPANDED TO REFLECT FIELD TRENDS Data warehousing has revolutionized the way businesses in a wide variety of industries perform analysis and make strategic decisions. Since the first edition of Data Warehousing Fundamentals, numerous enterprises have implemented data warehouse systems and reaped enormous benefits. Many more are in the process of doing so. Now, this new, revised edition covers the essential fundamentals of data warehousing and business intelligence as well as significant recent trends in the field. The author provides an enhanced, comprehensive overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. IT professionals eager to get into the field will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and the various methods for information delivery. This practical Second Edition highlights the areas of data warehousing and business intelligence where high-impact technological progress has been made. Discussions on developments include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architecture, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. The book also contains review questions and exercises for each chapter, appropriate for self-study or classroom work, industry examples of real-world situations, and several appendices with valuable information. Specifically written for professionals responsible for designing, implementing, or maintaining data warehousing systems, Data Warehousing Fundamentals presents agile, thorough, and systematic development principles for the IT professional and anyone working or researching in information management.

Performing Information Governance

Performing Information Governance
  • Author : Anthony David Giordano
  • Publisher :Unknown
  • Release Date :2014-09-11
  • Total pages :672
  • ISBN : 9780133385632
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Summary : Make Information Governance Work : Best Practices, Step-by-Step Tasks, and Detailed Deliverables Most enterprises recognize the crucial importance of effective information governance. However, few are satisfied with the value of their efforts to date. Information governance is difficult because it is a pervasive function, touching multiple processes, systems, and stakeholders. Fortunately, there are best practices that work. Now, a leading expert in the field offers a complete, step-by-step guide to successfully governing information in your organization. Using case studies and hands-on activities, Anthony Giordano fully illuminates the “who, what, how, and when” of information governance. He explains how core governance components link with other enterprise information management disciplines, and provides workable “job descriptions” for each project participant. Giordano helps you successfully integrate key data stewardship processes as you develop large-scale applications and Master Data Management (MDM) environments. Then, once you’ve deployed an information asset, he shows how to consistently get reliable regulatory and financial information from it. Performing Information Governance will be indispensable to CIOs and Chief Data Officers…data quality, metadata, and MDM specialists…anyone responsible for making information governance work. Coverage Includes Recognizing the hidden development and operational implications of information governance—and why it needs to be integrated in the broader organization Integrating information governance activities with transactional processing, BI, MDM, and other enterprise information management functions Establishing the information governance organization: defining roles, launching projects, and integrating with ongoing operations Performing information governance in transactional projects, including those using agile methods and COTS products Bringing stronger information governance to MDM: strategy, architecture, development, and beyond Governing information throughout your BI or Big Data project lifecycle Effectively performing ongoing information governance and data stewardship operational processes Auditing and enforcing data quality management in the context of enterprise information management Maintaining and evolving metadata management for maximum business value

Database Design: Know It All

Database Design: Know It All
  • Author : Toby J. Teorey,Stephen Buxton,Lowell Fryman,Ralf Hartmut Güting,Terry Halpin,Jan L. Harrington,W.H. Inmon,Sam S. Lightstone,Jim Melton,Tony Morgan,Thomas P. Nadeau,Bonnie O'Neil,Elizabeth O'Neil,Patrick O'Neil,Markus Schneider,Graeme Simsion,Graham Witt
  • Publisher :Unknown
  • Release Date :2008-10-23
  • Total pages :368
  • ISBN : 0080877893
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Summary : This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of database design methodology ? from ER and UML techniques, to conceptual data modeling and table transformation, to storing XML and querying moving objects databases. The proposed book expertly combines the finest database design material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of database design. This book represents a quick and efficient way to unite valuable content from leading database design experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. Details multiple relational models and modeling languages, enhancing the reader’s technical expertise and familiarity with design-related requirements specification. Coverage of both theory and practice brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases.

Business

Business
  • Author : 布卢姆斯伯里出版公司
  • Publisher :Unknown
  • Release Date :2003
  • Total pages :2114
  • ISBN : 7800736598
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Summary : 责任者取自版权页。

A Practical Guide to Enterprise Architecture

A Practical Guide to Enterprise Architecture
  • Author : James McGovern,Scott W. Ambler,Michael E. Stevens,James Linn,Elias K. Jo,Vikas Sharan
  • Publisher :Unknown
  • Release Date :2004
  • Total pages :306
  • ISBN : 0131412752
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Summary : bull; Written by expert practitioners who have hands-on experience solving real-world problems for large corporations bull; Helps enterprise architects make sense of data, systems, software, services, product lines, methodologies, and much more bull; Provides explanation of theory and implementation with real-world business examples to support key points

Business Intelligence Roadmap

Business Intelligence Roadmap
  • Author : Larissa Terpeluk Moss,S. Atre
  • Publisher :Unknown
  • Release Date :2003
  • Total pages :543
  • ISBN : 0201784203
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Summary : This software will enable the user to learn about business intelligence roadmap.

Successful Business Intelligence, Second Edition

Successful Business Intelligence, Second Edition
  • Author : Cindi Howson
  • Publisher :Unknown
  • Release Date :2013-11-08
  • Total pages :336
  • ISBN : 9780071809191
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Summary : Revised to cover new advances in business intelligence—big data, cloud, mobile, and more—this fully updated bestseller reveals the latest techniques to exploit BI for the highest ROI. “Cindi has created, with her typical attention to details that matter, a contemporary forward-looking guide that organizations could use to evaluate existing or create a foundation for evolving business intelligence / analytics programs. The book touches on strategy, value, people, process, and technology, all of which must be considered for program success. Among other topics, the data, data warehousing, and ROI comments were spot on. The ‘technobabble’ chapter was brilliant!” —Bill Frank, Business Intelligence and Data Warehousing Program Manager, Johnson & Johnson “If you want to be an analytical competitor, you’ve got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It’s required reading for quantitatively oriented strategists and the technologists who support them.” —Thomas H. Davenport, President’s Distinguished Professor, Babson College and co-author, Competing on Analytics “Cindi has created an exceptional, authoritative description of the end-to-end business intelligence ecosystem. This is a great read for those who are just trying to better understand the business intelligence space, as well as for the seasoned BI practitioner.” —Sully McConnell, Vice President, Business Intelligence and Information Management, Time Warner Cable “Cindi’s book succinctly yet completely lays out what it takes to deliver BI successfully. IT and business leaders will benefit from Cindi’s deep BI experience, which she shares through helpful, real-world definitions, frameworks, examples, and stories. This is a must-read for companies engaged in – or considering – BI.” —Barbara Wixom, PhD, Principal Research Scientist, MIT Sloan Center for Information Systems Research Expanded to cover the latest advances in business intelligence such as big data, cloud, mobile, visual data discovery, and in-memory computing, this fully updated bestseller by BI guru Cindi Howson provides cutting-edge techniques to exploit BI for maximum value. Successful Business Intelligence: Unlock the Value of BI & Big Data, Second Edition describes best practices for an effective BI strategy. Find out how to: Garner executive support to foster an analytic culture Align the BI strategy with business goals Develop an analytic ecosystem to exploit data warehousing, analytic appliances, and Hadoop for the right BI workload Continuously improve the quality, breadth, and timeliness of data Find the relevance of BI for everyone in the company Use agile development processes to deliver BI capabilities and improvements at the pace of business change Select the right BI tools to meet user and business needs Measure success in multiple ways Embrace innovation, promote successes and applications, and invest in training Monitor your evolution and maturity across various factors for impact Exclusive industry survey data and real-world case studies from Medtronic, Macy’s, 1-800 CONTACTS, The Dow Chemical Company, Netflix, Constant Contact, and other companies show successful BI initiatives in action. From Moneyball to Nate Silver, BI and big data have permeated our cultural, political, and economic landscape. This timely, up-to-date guide reveals how to plan and deploy an agile, state-of-the-art BI solution that links insight to action and delivers a sustained competitive advantage.

Descriptive Metadata for Television

Descriptive Metadata for Television
  • Author : Mike Cox,Ellen Mulder,Linda Tadic
  • Publisher :Unknown
  • Release Date :2006-03-27
  • Total pages :160
  • ISBN : 9781136034985
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Summary : Descriptive Metadata for Television is a comprehensive introduction for television professionals that need to understand metadata's purpose and technology. This easy-to-read book translates obscure technical to hands-on language understandable by real people.

Business Metadata Second Edition

Business Metadata Second Edition
  • Author : Gerardus Blokdyk
  • Publisher :Unknown
  • Release Date :2018-04-13
  • Total pages :126
  • ISBN : 0655170960
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Summary : How do we keep improving Business metadata? What management system can we use to leverage the Business metadata experience, ideas, and concerns of the people closest to the work to be done? What will be the consequences to the stakeholder (financial, reputation etc) if Business metadata does not go ahead or fails to deliver the objectives? Have all basic functions of Business metadata been defined? Who are the people involved in developing and implementing Business metadata? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Business metadata investments work better. This Business metadata All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Business metadata Self-Assessment. Featuring 701 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Business metadata improvements can be made. In using the questions you will be better able to: - diagnose Business metadata projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Business metadata and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Business metadata Scorecard, you will develop a clear picture of which Business metadata areas need attention. Your purchase includes access details to the Business metadata self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Managing Data in Motion

Managing Data in Motion
  • Author : April Reeve
  • Publisher :Unknown
  • Release Date :2013-02-26
  • Total pages :204
  • ISBN : 9780123977915
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Summary : Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

Co-Engineering Applications and Adaptive Business Technologies in Practice: Enterprise Service Ontologies, Models, and Frameworks

Co-Engineering Applications and Adaptive Business Technologies in Practice: Enterprise Service Ontologies, Models, and Frameworks
  • Author : Ramanathan, Jay,Ramnath, Rajiv
  • Publisher :Unknown
  • Release Date :2009-03-31
  • Total pages :426
  • ISBN : 9781605662770
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Summary : Provides knowledge that forms the basis for successful co-engineering of the adaptive complex enterprise for services delivery.

How to Build a Business Rules Engine

How to Build a Business Rules Engine
  • Author : Malcolm Chisholm
  • Publisher :Unknown
  • Release Date :2004-01-14
  • Total pages :483
  • ISBN : 9780080491479
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Summary : · This is the only book that demonstrates how to develop a business rules engine. Covers user requirements, data modeling, metadata, and more. · A sample application is used throughout the book to illustrate concepts. The code for the sample application is available online at http://www.refdataportal.com. · Includes conceptual overview chapters suitable for management-level readers, including general introduction, business justification, development and implementation considerations, and more. · This is the only book that demonstrates how to develop a business rules engine. Covers user requirements, data modeling, metadata, and more. · A sample application is used throughout the book to illustrate concepts. The code for the sample application is available online at http://www.refdataportal.com. · Includes conceptual overview chapters suitable for management-level readers, including general introduction, business justification, development and implementation considerations, and more.