Download or read book Metadata and Data Modeling Tools Standard Requirements written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-11-15 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: What threat is Metadata and Data Modeling Tools addressing? Do we aggressively reward and promote the people who have the biggest impact on creating excellent Metadata and Data Modeling Tools services/products? What prevents me from making the changes I know will make me a more effective Metadata and Data Modeling Tools leader? Which individuals, teams or departments will be involved in Metadata and Data Modeling Tools? How do we make it meaningful in connecting Metadata and Data Modeling Tools with what users do day-to-day? This astounding Metadata and Data Modeling Tools self-assessment will make you the established Metadata and Data Modeling Tools domain visionary by revealing just what you need to know to be fluent and ready for any Metadata and Data Modeling Tools challenge. How do I reduce the effort in the Metadata and Data Modeling Tools work to be done to get problems solved? How can I ensure that plans of action include every Metadata and Data Modeling Tools task and that every Metadata and Data Modeling Tools outcome is in place? How will I save time investigating strategic and tactical options and ensuring Metadata and Data Modeling Tools costs are low? How can I deliver tailored Metadata and Data Modeling Tools advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Metadata and Data Modeling Tools essentials are covered, from every angle: the Metadata and Data Modeling Tools self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Metadata and Data Modeling Tools outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Metadata and Data Modeling Tools practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Metadata and Data Modeling Tools are maximized with professional results. Your purchase includes access details to the Metadata and Data Modeling Tools self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Download or read book Metadata and Data Modeling Tools the Ultimate Step By Step Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-08-27 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to deal with Metadata and Data Modeling Tools Changes? Are there any constraints known that bear on the ability to perform Metadata and Data Modeling Tools work? How is the team addressing them? What are the rough order estimates on cost savings/opportunities that Metadata and Data Modeling Tools brings? What are the expected benefits of Metadata and Data Modeling Tools to the business? Has the Metadata and Data Modeling Tools work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed? 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 Metadata and Data Modeling Tools investments work better. This Metadata and Data Modeling Tools All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Metadata and Data Modeling Tools Self-Assessment. Featuring 702 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Metadata and Data Modeling Tools improvements can be made. In using the questions you will be better able to: - diagnose Metadata and Data Modeling Tools 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 Metadata and Data Modeling Tools and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Metadata and Data Modeling Tools Scorecard, you will develop a clear picture of which Metadata and Data Modeling Tools areas need attention. Your purchase includes access details to the Metadata and Data Modeling Tools self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Download or read book Data Management courseware based on CDMP Fundamentals written by Alliance BV And More Group BV and published by Van Haren. This book was released on 1970-01-01 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Besides the courseware publication (ISBN: 9789401811491), you are advised to obtain the DAMA DMBOK publication (ISBN: 9781634622349). Optionally, you can use the publication Data management: a gentle introduction (ISBN: 9789401805506) as inspiration for examples and quotes about the field of data management. This material is intended to prepare participants for the CDMP exam by DAMA International. The courseware can only be ordered by partners and is based on the current version of the DAMA DMBOK. The material will be updated when new versions of DMBOK are published. DAMA DMBOK is the industry reference for data management. It is published by DAMA International and is currently in its second version. The DMBOK is developed by professionals and can be seen as a collection of best practices. The domain of data management is divided into functional areas which are discussed in terms of definitions (what is it), goals (what are we trying to achieve), steps (what are typical activities), inputs/outputs, and participating roles. Developing and sustaining an effective data management function is far from an easy task. The DMBOK framework is adopted by many organizations as the foundation for their data management function: standardized language and good practices speed up the learning process. After the training, you have an overview of the field of data management, its terminology, and current best practices.

Download or read book Data Modeling Made Simple with CA ERwin Data Modeler r8 written by Donna Burbank and published by Technics Publications. This book was released on 2011-08-01 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with CA ERwin Data Modeler r8. You’ll build many CA ERwin data models along the way, mastering first the fundamentals and later in the book the more advanced features of CA ERwin Data Modeler. This book combines real-world experience and best practices with down to earth advice, humor, and even cartoons to help you master the following ten objectives: 1. Understand the basics of data modeling and relational theory, and how to apply these skills using CA ERwin Data Modeler 2. Read a data model of any size and complexity with the same confidence as reading a book 3. Understand the difference between conceptual, logical, and physical models, and how to effectively build these models using CA ERwin’s Data Modelers Design Layer Architecture 4. Apply techniques to turn a logical data model into an efficient physical design and vice-versa through forward and reverse engineering, for both ‘top down’ and bottom-up design 5. Learn how to create reusable domains, naming standards, UDPs, and model templates in CA ERwin Data Modeler to reduce modeling time, improve data quality, and increase enterprise consistency 6. Share data model information with various audiences using model formatting and layout techniques, reporting, and metadata exchange 7. Use the new workspace customization features in CA ERwin Data Modeler r8 to create a workflow suited to your own individual needs 8. Leverage the new Bulk Editing features in CA ERwin Data Modeler r8 for mass metadata updates, as well as import/export with Microsoft Excel 9. Compare and merge model changes using CA ERwin Data Modelers Complete Compare features 10. Optimize the organization and layout of your data models through the use of Subject Areas, Diagrams, Display Themes, and more Section I provides an overview of data modeling: what it is, and why it is needed. The basic features of CA ERwin Data Modeler are introduced with a simple, easy-to-follow example. Section II introduces the basic building blocks of a data model, including entities, relationships, keys, and more. How-to examples using CA ERwin Data Modeler are provided for each of these building blocks, as well as ‘real world’ scenarios for context. Section III covers the creation of reusable standards, and their importance in the organization. From standard data modeling constructs such as domains to CA ERwin-specific features such as UDPs, this section covers step-by-step examples of how to create these standards in CA ERwin Data Modeling, from creation, to template building, to sharing standards with end users through reporting and queries. Section IV discusses conceptual, logical, and physical data models, and provides a comprehensive case study using CA ERwin Data Modeler to show the interrelationships between these models using CA ERwin’s Design Layer Architecture. Real world examples are provided from requirements gathering, to working with business sponsors, to the hands-on nitty-gritty details of building conceptual, logical, and physical data models with CA ERwin Data Modeler r8. From the Foreword by Tom Bilcze, President, CA Technologies Modeling Global User Community: Data Modeling Made Simple with CA ERwin Data Modeler r8 is an excellent resource for the ERwin community. The data modeling community is a diverse collection of data professionals with many perspectives of data modeling and different levels of skill and experience. Steve Hoberman and Donna Burbank guide newbie modelers through the basics of data modeling and CA ERwin r8. Through the liberal use of illustrations, the inexperienced data modeler is graphically walked through the components of data models and how to create them in CA ERwin r8. As an experienced data modeler, Steve and Donna give me a handbook for effectively using the new and enhanced features of this release to bring my art form to life. The book delves into advanced modeling topics and techniques by continuing the liberal use of illustrations. It speaks to the importance of a defined data modeling architecture with soundly modeled data to assist the enterprise in understanding of the value of data. It guides me in applying the finishing touches to my data designs.

Download or read book Data Model Patterns A Metadata Map written by David C. Hay and published by Elsevier. This book was released on 2010-07-20 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Technical Reference Model written by United States. Patent and Trademark Office and published by . This book was released on 1999 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Universal Meta Data Models written by David Marco and published by John Wiley & Sons. This book was released on 2004-03-25 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: * The heart of the book provides the complete set of models that will support most of an organization's core business functions, including universal meta models for enterprise-wide systems, business meta data and data stewardship, portfolio management, business rules, and XML, messaging, and transactions * Developers can directly adapt these models to their own businesses, saving countless hours of development time * Building effective meta data repositories is complicated and time-consuming, and few IT departments have the necessary expertise to do it right-which is why this book is sure to find a ready audience * Begins with a quick overview of the Meta Data Repository Environment and the business uses of meta data, then goes on to describe the technical architecture followed by the detailed models

Download or read book Metadata Management with IBM InfoSphere Information Server written by Wei-Dong Zhu and published by IBM Redbooks. This book was released on 2011-10-18 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Standard Based Data and Information Systems for Earth Observation written by Liping Di and published by Springer Science & Business Media. This book was released on 2009-12-24 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: CEOS was established under the auspices of the Economic Summit of Industrialized Nations in 1984 in response to a recommendation from a panel of experts in remote sensing within the Working Group on Growth, Technology and Employment (CEOS, 2009). The panel recognized the collective value of the world’s Earth remote sensing capabilities and the advantages that would be gained by the coordination of civil Earth observing satellite missions. By cooperating in mission planning and the development of compatible data products, applications, services and policies, the national space programs would maximize the bene?ts of their individual inve- ments and be able to better address the environmental challenges of the entire international community. CEOS was to serve as the focal point for this inter- tional coordination and to provide the forum for the change of policy and technical information. The members of CEOS are governmental organizations that are international or national in nature and are responsible for a civil space-borne Earth observation program that is currently in operation or in an advanced stage of system devel- ment. CEOS also has established Associate Members that are similar governmental organizations with a civil space-segment activity in an early stage of system dev- opment or those with a signi?cant ground-segment activity that supports CEOS objectives. Associate Members may also be existing satellite coordination group and scienti?c or governmental bodies that are international in nature and have a signi?cant programmatic activity that likewise is aligned with the goals of CEOS.

Download or read book A Developer s Guide to Data Modeling for SQL Server written by Eric Johnson and published by Addison-Wesley Professional. This book was released on 2008-06-24 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: “ A Developer’s Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. “Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.” — Peter Varhol, Executive Editor, Redmond Magazine Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn’t enough: models that don’t reflect SQL Server’s unique real-world strengths and weaknesses often lead to disastrous performance. A Developer’s Guide to Data Modeling for SQL Server is a practical, SQL Server-specific guide to data modeling for every developer, architect, and administrator. This book offers you invaluable start-to-finish guidance for designing new databases, redesigning existing SQL Server data models, and migrating databases from other platforms. You’ll begin with a concise, practical overview of the core data modeling techniques. Next, you’ll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, you’ll systematically transform those logical models into physical models that make the most of SQL Server’s extended functionality. All of this book’s many examples are available for download from a companion Web site. This book enables you to Understand your data model’s physical elements, from storage to referential integrity Provide programmability via stored procedures, user-defined functions, triggers, and .NET CLR integration Normalize data models, one step at a time Gather and interpret requirements more effectively Learn an effective methodology for creating logical models Overcome modeling problems related to entities, attribute, data types, storage overhead, performance, and relationships Create physical models—from establishing naming guidelines through implementing business rules and constraints Use SQL Server’s unique indexing capabilities, and overcome their limitations Create abstraction layers that enhance security, extensibility, and flexibility

Download or read book Data Modeling Project Standard Requirements written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-03-05 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you select, collect, align, and integrate Data Modeling Project data and information for tracking daily operations and overall organizational performance, including progress relative to strategic objectives and action plans? How can the value of Data Modeling Project be defined? Who will be responsible for deciding whether Data Modeling Project goes ahead or not after the initial investigations? for example, could a particular task be done more quickly or more efficiently by Data Modeling Project? Key questions are: is the Data Modeling Project solution request practical and will it solve a problem or take advantage of an opportunity to achieve company goals? 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 Data Modeling Project investments work better. This Data Modeling Project All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Modeling Project Self-Assessment. Featuring 673 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Modeling Project improvements can be made. In using the questions you will be better able to: - diagnose Data Modeling Project 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 Data Modeling Project and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Modeling Project Scorecard, you will develop a clear picture of which Data Modeling Project areas need attention. Your purchase includes access details to the Data Modeling Project self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Modeling Project Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Download or read book Meeting the Challenges of Data Quality Management written by Laura Sebastian-Coleman and published by Academic Press. This book was released on 2022-01-25 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five challenges of data quality management: the meaning challenge (recognizing how data represents reality), the process/quality challenge (creating high-quality data by design), the people challenge (building data literacy), the technical challenge (enabling organizational data to be accessed and used, as well as protected), and the accountability challenge (ensuring organizational leadership treats data as an asset). Organizations that fail to meet these challenges get less value from their data than organizations that address them directly. The book describes core data quality management capabilities and introduces new and experienced DQ practitioners to practical techniques for getting value from activities such as data profiling, DQ monitoring and DQ reporting. It extends these ideas to the management of data quality within big data environments. This book will appeal to data quality and data management professionals, especially those involved with data governance, across a wide range of industries, as well as academic and government organizations. Readership extends to people higher up the organizational ladder (chief data officers, data strategists, analytics leaders) and in different parts of the organization (finance professionals, operations managers, IT leaders) who want to leverage their data and their organizational capabilities (people, processes, technology) to drive value and gain competitive advantage. This will be a key reference for graduate students in computer science programs which normally have a limited focus on the data itself and where data quality management is an often-overlooked aspect of data management courses. Describes the importance of high-quality data to organizations wanting to leverage their data and, more generally, to people living in today’s digitally interconnected world Explores the five challenges in relation to organizational data, including "Big Data," and proposes approaches to meeting them Clarifies how to apply the core capabilities required for an effective data quality management program (data standards definition, data quality assessment, monitoring and reporting, issue management, and improvement) as both stand-alone processes and as integral components of projects and operations Provides Data Quality practitioners with ways to communicate consistently with stakeholders

Download or read book The Microsoft Data Warehouse Toolkit written by Joy Mundy and published by John Wiley & Sons. This book was released on 2011-03-08 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best practices and invaluable advice from world-renowned data warehouse experts In this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming “Business Intelligence release” of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most organizations. Covering the complete suite of data warehousing and BI tools that are part of SQL Server 2008 R2, as well as Microsoft Office, the authors walk you through a full project lifecycle, including design, development, deployment and maintenance. Features more than 50 percent new and revised material that covers the rich new feature set of the SQL Server 2008 R2 release, as well as the Office 2010 release Includes brand new content that focuses on PowerPivot for Excel and SharePoint, Master Data Services, and discusses updated capabilities of SQL Server Analysis, Integration, and Reporting Services Shares detailed case examples that clearly illustrate how to best apply the techniques described in the book The accompanying Web site contains all code samples as well as the sample database used throughout the case studies The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis Services and Integration Services to accomplish your most essential data warehousing tasks.

Download or read book Geographic Information Systems Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2012-09-30 with total page 2281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developments in technologies have evolved in a much wider use of technology throughout science, government, and business; resulting in the expansion of geographic information systems. GIS is the academic study and practice of presenting geographical data through a system designed to capture, store, analyze, and manage geographic information. Geographic Information Systems: Concepts, Methodologies, Tools, and Applications is a collection of knowledge on the latest advancements and research of geographic information systems. This book aims to be useful for academics and practitioners involved in geographical data.

Download or read book Assistive Technologies Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2013-08-31 with total page 1724 pages. Available in PDF, EPUB and Kindle. Book excerpt: Individuals with disabilities often have difficulty accomplishing tasks, living independently, and utilizing information technologies; simple aspects of daily life taken for granted by non-disabled individuals. Assistive Technologies: Concepts, Methodologies, Tools, and Applications presents a comprehensive collection of research, developments, and knowledge on technologies that enable disabled individuals to function effectively and accomplish otherwise impossible tasks. These volumes serve as a crucial reference source for experts in fields as diverse as healthcare, information science, education, engineering, and human-computer interaction, with applications bridging multiple disciplines.

Download or read book Data Warehouse Development Tools written by Dr. K.V.K.K. Prasad and published by Dreamtech Press. This book was released on 2005-09-20 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to lay the foundation in using the popular commercial tools for developing data warehouse in a very short time. With illustrative examples and case studies, the complete process of data warehouse development is explained using Informatica, Cognos, Business Objects and DataStage tools.

Download or read book Handbook on Business Process Management 1 written by Jan vom Brocke and published by Springer. This book was released on 2014-08-29 with total page 733 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Process Management (BPM) has become one of the most widely used approaches for the design of modern organizational and information systems. The conscious treatment of business processes as significant corporate assets has facilitated substantial improvements in organizational performance but is also used to ensure the conformance of corporate activities. This Handbook presents in two volumes the contemporary body of knowledge as articulated by the world' s leading BPM thought leaders. This first volume focuses on arriving at a sound definition of BPM approaches and examines BPM methods and process-aware information systems. As such, it provides guidance for the integration of BPM into corporate methodologies and information systems. Each chapter has been contributed by leading international experts. Selected case studies complement their views and lead to a summary of BPM expertise that is unique in its coverage of the most critical success factors of BPM. The second edition of this handbook has been significantly revised and extended. Each chapter has been updated to reflect the most current developments. This includes in particular new technologies such as in-memory data and process management, social media and networks. A further focus of this revised and extended edition is on the actual deployment of the proposed theoretical concepts. This volume includes a number of entire new chapters from some of the world's leading experts in the domain of BPM.