Charles Betz is the Research Director for IT Portfolio Management for Enterprise Management Associates, with extensive practitioner experience as an enterprise architect for large scale IT operations in retail and financial services.
This latest edition includes discussions on how to develop an overall IT strategy as well as demonstrate the value of IT to the company. It will teach you how to: manage your enterprise’s new level of connectivity with a new chapter covering social media, handheld devices, and more; implement and optimize cloud services to provide a better experience for your mobile and virtual workforce at a lower cost to your bottom line; integrate mobile applications into your company’s strategy; and manage the money, including topics such as department budgets and leasing versus buying. You will also learn how to work with your customers, whomever those might be for your IT shop; hire, train, and manage your team and their projects so that you come in on time and budget; and secure your systems to face some of today's most challenging security challenges.
This book will appeal to new IT managers in all areas of specialty, including technical professionals who are transitioning into IT management.Manage your enterprise’s new level of connectivity with a NEW chapter covering social media, handheld devices, and moreImplement and optimize cloud services to provide a better experience for your mobile and virtual workforce at a lower cost to your bottom lineIntegrate mobile applications into your company’s strategyManage the money, including topics such as department budgets and leasing versus buyingWork with your "customers", whomever those might be for your IT shopHire, train, and manage your team and their projects so that you come in on time and budget Secure your systems to face some of today's most challenging security challenges
The book is organized into three parts. Part 1 traces the history of temporal data management and presents a taxonomy of bi-temporal data management methods. Part 2 provides an introduction to Asserted Versioning, covering the origins of Asserted Versioning; core concepts of Asserted Versioning; the schema common to all asserted version tables, as well as the various diagrams and notations used in the rest of the book; and how the basic scenario works when the target of that activity is an asserted version table. Part 3 deals with designing, maintaining, and querying asserted version databases. It discusses the design of Asserted Versioning databases; temporal transactions; deferred assertions and other pipeline datasets; Allen relationships; and optimizing Asserted Versioning databases.Integrates an enterprise-wide viewpoint with a strong conceptual model of temporal data management allowing for realistic implementation of database application development.Provides a true practical guide to the different possible methods of time-oriented databases with techniques of using existing funtionality to solve real world problems within an enterprise data architecture environment.Written by IT professionals for IT professionals, this book employs a heavily example-driven approach which reinforces learning by showing the results of puting the techniques discussed into practice.
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 managementWritten 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 projectsVery practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the wayIncludes sample unstructured metadata for use in self-testing and developing skills
Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.
The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise.Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projectsOffers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methodsIncludes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises.
This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective.Thorough coverage of the fundamentals and relevant theory.Recognition and support for the creative side of the process.Expanded coverage of applied data modeling includes new chapters on logical and physical database design.New material describing a powerful technique for model verification.Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict.
Major companies, research firms, and vendors are offering Enterprise Resource Planning for Information Technology, which they label as ERP for IT, IT Resource Planning and related terms.
This book presents on-the-ground coverage of enabling IT governance in architectural detail, which can be used to define a strategy for immediate execution. It fills the gap between high-level guidance on IT governance and detailed discussions about specific vendor technologies. It provides a unique value chain approach to integrating the COBIT, ITIL, and CMM frameworks into a coherent, unified whole. It presents a field-tested, detailed conceptual information model with definitions and usage scenarios, mapped to both process and system architectures.
This book is recommended for practitioners and managers engaged in IT support in large companies, particularly those who are information architects, enterprise architects, senior software engineers, program/project managers, and IT managers/directors.