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Data Modeling Made Simple with CA ERwin Data Modeler r8

Author : Donna Burbank
Publisher : Technics Publications
ISBN 13 : 1634620690
Total Pages : 537 pages
Book Rating : 4.6/5 (346 download)

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Book Synopsis Data Modeling Made Simple with CA ERwin Data Modeler r8 by : Donna Burbank

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.

Data Modeling Made Simple with Erwin DM

Author : Harris Jeff
Publisher :
ISBN 13 : 9781634628440
Total Pages : pages
Book Rating : 4.6/5 (284 download)

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Book Synopsis Data Modeling Made Simple with Erwin DM by : Harris Jeff

Download or read book Data Modeling Made Simple with Erwin DM written by Harris Jeff and published by . This book was released on 2020-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Logical Data Modeling

Author : Alan Chmura
Publisher : Springer Science & Business Media
ISBN 13 : 0387229620
Total Pages : 234 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Logical Data Modeling by : Alan Chmura

Download or read book Logical Data Modeling written by Alan Chmura and published by Springer Science & Business Media. This book was released on 2007-03-06 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Logical Data Modeling offers business managers, analysts, and students a clear, basic systematic guide to defining business information structures in relational database terms. The approach, based on Clive Finkelstein’s business-side Information Engineering, is hands-on, practical, and explicit in terminology and reasoning. Filled with illustrations, examples, and exercises, Logical Data Modeling makes its subject accessible to readers with only a limited knowledge of database systems. The book covers all essential topics thoroughly but succinctly: entities, associations, attributes, keys and inheritance, valid and invalid structures, and normalization. It also emphasizes communication with business and database specialists, documentation, and the use of Visible Systems' Visible Advantage enterprise modeling tool. The application of design patterns to logical data modeling provides practitioners with a practical tool for fast development. At the end, a chapter covers the issues that arise when the logical data model is translated into the design for a physical database.

Data Modeling Made Simple

Author : Steve Hoberman
Publisher : Technics Publications Llc
ISBN 13 : 9780977140060
Total Pages : 360 pages
Book Rating : 4.1/5 (4 download)

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Book Synopsis Data Modeling Made Simple by : Steve Hoberman

Download or read book Data Modeling Made Simple written by Steve Hoberman and published by Technics Publications Llc. This book was released on 2009 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Read today's business headlines and you will see that many issues stem from people not having the right data at the right time. Data issues don't always make the front page, yet they exist within every organisation. We need to improve how we manage data -- and the most valuable tool for explaining, vaildating and managing data is a data model. This book provides the business or IT professional with a practical working knowledge of data modelling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives: Know when a data model is needed and which type of data model is most effective for each situation; Read a data model of any size and complexity with the same confidence as reading a book; Build a fully normalised relational data model, as well as an easily navigatable dimensional model; Apply techniques to turn a logical data model into an efficient physical design; Leverage several templates to make requirements gathering more efficient and accurate; Explain all ten categories of the Data Model Scorecard®; Learn strategies to improve your working relationships with others; Appreciate the impact unstructured data has, and will have, on our data modelling deliverables; Learn basic UML concepts; Put data modelling in context with XML, metadata, and agile development.

Data Modeling Made Simple with PowerDesigner

Author : Steve Hoberman
Publisher :
ISBN 13 : 9780977140091
Total Pages : 0 pages
Book Rating : 4.1/5 (4 download)

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Book Synopsis Data Modeling Made Simple with PowerDesigner by : Steve Hoberman

Download or read book Data Modeling Made Simple with PowerDesigner written by Steve Hoberman and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This book will provide the business or IT professional with a practical working knowledge of data modelling concepts and best practices, and how to apply these principles with PowerDesigner. You will build many PowerDesigner data models along the way, increasing your skills in first the fundamentals and later in the book the more advanced features of PowerDesigner. The book contains six sections: Section I introduces data modelling along with its purpose and variations. Also included is an explanation of the important role of a data modelling tool, the key features required of any data modelling tool, and an introduction to the essential features of PowerDesigner; Section II explains all of the components on a data model including entities, data elements, relationships, and keys, and describes how to create and manage these objects in PowerDesigner. Also included is a discussion of the importance of quality names and definitions for your objects; Section III dives into the relational and dimensional subject area, logical, and physical data models, and describes how PowerDesigner supports these models and the connections between them. Learn how to get information into and out of PowerDesigner, and improve the quality of your data models with a cross-reference of key PowerDesigner features with the Data Model Scorecard; Section IV contains a PowerDesigner workshop designed to consolidate everything for you; Section V focuses on additional PowerDesigner features (some of which have already been introduced) which make life easier for data modellers; Section VI discusses PowerDesigner topics beyond data modelling, including the XML physical model and the other types of model available in PowerDesigner; it also discusses the role of PowerDesigner in data management, using the DAMA Data Management Body of Knowledge (DAMA-DMBOK) framework.

Data Modeling Essentials

Author : Graeme Simsion
Publisher : Elsevier
ISBN 13 : 0080488676
Total Pages : 561 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Data Modeling Essentials by : Graeme Simsion

Download or read book Data Modeling Essentials written by Graeme Simsion and published by Elsevier. This book was released on 2004-12-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. 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

Mastering Data Warehouse Design

Author : Claudia Imhoff
Publisher : John Wiley & Sons
ISBN 13 : 0471480924
Total Pages : 456 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Mastering Data Warehouse Design by : Claudia Imhoff

Download or read book Mastering Data Warehouse Design written by Claudia Imhoff and published by John Wiley & Sons. This book was released on 2003-08-19 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge response to Ralph Kimball's challenge to thedata warehouse community that answers some tough questions aboutthe effectiveness of the relational approach to datawarehousing Written by one of the best-known exponents of the Bill Inmonapproach to data warehousing Addresses head-on the tough issues raised by Kimball andexplains how to choose the best modeling technique for solvingcommon data warehouse design problems Weighs the pros and cons of relational vs. dimensional modelingtechniques Focuses on tough modeling problems, including creating andmaintaining keys and modeling calendars, hierarchies, transactions,and data quality

The Rosedata Stone

Author : Steve Hoberman
Publisher : Technics Publications
ISBN 13 : 9781634627733
Total Pages : 180 pages
Book Rating : 4.6/5 (277 download)

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Book Synopsis The Rosedata Stone by : Steve Hoberman

Download or read book The Rosedata Stone written by Steve Hoberman and published by Technics Publications. This book was released on 2020-03-09 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creating a precise diagram of business terms within your projects is a simple yet powerful communication tool for project managers, data governance professionals, and business analysts.Similar to how the Rosetta Stone provided a communication tool across multiple languages, the Rosedata Stone provides a communication tool across business languages. The Rosedata Stone, called the Business Terms Model (BTM) or the Conceptual Data Model, displays the achievement of a Common Business Language of terms for a particular business initiative. With more and more data being created and used, combined with intense competition, strict regulations, and rapid-spread social media, the financial, liability, and credibility stakes have never been higher and therefore the need for a Common Business Language has never been greater. Appreciate the power of the BTM and apply the steps to build a BTM over the books five chapters: 1. Challenges. Explore how a Common Business Language is more important than ever with technologies like the Cloud and NoSQL, and Regulations such as the GDPR. 2. Needs. Identify scope and plan precise, minimal visuals that will capture the Common Business Language. 3. Solution. Meet the BTM and its components, along with the variations of relational and dimensional BTMs. Experience how several data modeling tools display the BTM, including CaseTalk, ER/Studio, erwin DM, and Hackolade. 4. Construction. Build operational (relational) and analytics (dimensional) BTMs for a bakery chain. 5. Practice. Reinforce BTM concepts and build BTMs for two of your own initiatives alongside a real example.

Data Modeling Made Simple

Author : Steve Hoberman
Publisher : Technics Publications, LLC
ISBN 13 : 9781935504481
Total Pages : 0 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Data Modeling Made Simple by : Steve Hoberman

Download or read book Data Modeling Made Simple written by Steve Hoberman and published by Technics Publications, LLC. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the business or IT professional with a practical working knowledge of data modelling concepts and best practices, along with how to apply these principles with ER/Studio DA.You will build many ER/Studio DA data models along the way, applying best practices to master these ten objectives: You will know why a data model is needed and which ER/Studio DA models are the most appropriate for each situation; You will be able to read a data model of any size and complexity with the same confidence as reading a book; You will know how to apply all the key features of ER/Studio DA; You will be able to build relational and dimensional conceptual, logical, and physical data models in ER/Studio DA; You will be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design; You will improve data model quality and impact analysis results by leveraging ER/Studio DAs lineage functionality and compare/merge utility; You will achieve enterprise architecture through ER/Studio DAs repository and portal functionality; You will be able to apply ER/Studio DAs data dictionary features; You will learn ways of sharing the data model through reporting and through exporting the model in a variety of formats; You will leverage ER/Studio DAs naming functionality to improve naming consistency.This book contains four sections: Section I introduces data modelling and the ER/Studio DA landscape. Learn why data modelling is so critical to software development and even more importantly, why data modelling is so critical to understanding the business. You will also learn about the ER/Studio DA environment. By the end of this section, you will have created and saved your first data model in ER/Studio DA and be ready to start modelling in Section II. Section II explains all of the symbols and text on a data model, including entities, attributes, relationships, domains, and keys. By the time you finish this section, you will be able to read a data model of any size or complexity, and create a complete data model in ER/Studio DA. Section III explores the three different levels of models: conceptual, logical, and physical. A conceptual data model (CDM) represents a business need within a defined scope. The logical data model (LDM) represents a detailed business solution, capturing the business requirements without complicating the model with implementation concerns such as software and hardware. The physical data model (PDM) represents a detailed technical solution.The PDM is the logical data model compromised often to improve performance or usability. The PDM makes up for deficiencies in our technology. By the end of this section you will be able to create conceptual, logical, and physical data models in ER/Studio DA. Section IV discusses additional features of ER/Studio DA. These features include data dictionary, data lineage, automating tasks, repository and portal, exporting and reporting, naming standards, and compare and merge functionality.

Object Models

Author : Peter Coad
Publisher : Pearson Education
ISBN 13 : 9780138401177
Total Pages : 0 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Object Models by : Peter Coad

Download or read book Object Models written by Peter Coad and published by Pearson Education. This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a new edition of this pack which covers the three leading object modelling notations, Coad, OMT and the new Unified (Booch-Rumbaugh) methodology. It presents 177 state-of-the-art strategies and 31 patterns for object model development. The new edition includes 29 new strategies which include: using feature milestones to deliver results more quickly; extracting useful content from data models; using patterns to discover new features, separating definition from usage; when to use, or not use, inheritance; how to decide whether you need an attribute or something more; and why you should nearly always ask for more than a data value.

Data Modeling Made Simple

Author : Steve Hoberman
Publisher : Technics Publications, LLC
ISBN 13 : 9780977140008
Total Pages : 0 pages
Book Rating : 4.1/5 (4 download)

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Book Synopsis Data Modeling Made Simple by : Steve Hoberman

Download or read book Data Modeling Made Simple written by Steve Hoberman and published by Technics Publications, LLC. This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ever have a bad data day? If you are a business user, architect, analyst, designer or developer, then you have probably had some bad data days. It comes with the territory. Overcoming these problems is much easier if you have an in-depth understanding of the actual data. That's where a data model comes in handy. It's a diagram that uses text and symbols to represent groupings of data, giving you a clear picture of your business and application environment. The book provides the tools you need to read, create and validate models of your business and applications. Contains everything about modelling you need to know but were too afraid to ask, such as: What are the traditional and non-traditional uses of a data model? How do subject area, logical, and physical data models differ? When do I build a BSAM, ASAM, or CSAM? What is the easiest way to apply normalisation? Where can I best leverage abstraction? How do I decide whether to use denormalisation or dimensionality? What are primary, foreign, alternate, virtual, and surrogate keys? What is the best approach to building the models? How can I use the Scorecard system to validate a data model? Includes over 30 exercises to reinforce concepts and sharpen your skills!

Introduction to Aircraft Flight Mechanics

Author : Thomas R. Yechout
Publisher : AIAA
ISBN 13 : 9781600860782
Total Pages : 666 pages
Book Rating : 4.8/5 (67 download)

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Book Synopsis Introduction to Aircraft Flight Mechanics by : Thomas R. Yechout

Download or read book Introduction to Aircraft Flight Mechanics written by Thomas R. Yechout and published by AIAA. This book was released on 2003 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a 15-year successful approach to teaching aircraft flight mechanics at the US Air Force Academy, this text explains the concepts and derivations of equations for aircraft flight mechanics. It covers aircraft performance, static stability, aircraft dynamics stability and feedback control.

Business Intelligence Tools for Small Companies

Author : Albert Nogués
Publisher : Apress
ISBN 13 : 1484225686
Total Pages : 340 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Business Intelligence Tools for Small Companies by : Albert Nogués

Download or read book Business Intelligence Tools for Small Companies written by Albert Nogués and published by Apress. This book was released on 2017-05-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to transition from Excel-based business intelligence (BI) analysis to enterprise stacks of open-source BI tools. Select and implement the best free and freemium open-source BI tools for your company’s needs and design, implement, and integrate BI automation across the full stack using agile methodologies. Business Intelligence Tools for Small Companies provides hands-on demonstrations of open-source tools suitable for the BI requirements of small businesses. The authors draw on their deep experience as BI consultants, developers, and administrators to guide you through the extract-transform-load/data warehousing (ETL/DWH) sequence of extracting data from an enterprise resource planning (ERP) database freely available on the Internet, transforming the data, manipulating them, and loading them into a relational database. The authors demonstrate how to extract, report, and dashboard key performance indicators (KPIs) in a visually appealing format from the relational database management system (RDBMS). They model the selection and implementation of free and freemium tools such as Pentaho Data Integrator and Talend for ELT, Oracle XE and MySQL/MariaDB for RDBMS, and Qliksense, Power BI, and MicroStrategy Desktop for reporting. This richly illustrated guide models the deployment of a small company BI stack on an inexpensive cloud platform such as AWS. What You'll Learn You will learn how to manage, integrate, and automate the processes of BI by selecting and implementing tools to: Implement and manage the business intelligence/data warehousing (BI/DWH) infrastructure Extract data from any enterprise resource planning (ERP) tool Process and integrate BI data using open-source extract-transform-load (ETL) tools Query, report, and analyze BI data using open-source visualization and dashboard tools Use a MOLAP tool to define next year's budget, integrating real data with target scenarios Deploy BI solutions and big data experiments inexpensively on cloud platforms Who This Book Is For Engineers, DBAs, analysts, consultants, and managers at small companies with limited resources but whose BI requirements have outgrown the limitations of Excel spreadsheets; personnel in mid-sized companies with established BI systems who are exploring technological updates and more cost-efficient solutions

Metadata Management with IBM InfoSphere Information Server

Author : Wei-Dong Zhu
Publisher : IBM Redbooks
ISBN 13 : 0738435996
Total Pages : 458 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Metadata Management with IBM InfoSphere Information Server by : Wei-Dong Zhu

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.

Beginning Database Design

Author : Gavin Powell
Publisher : John Wiley & Sons
ISBN 13 : 0764574906
Total Pages : 496 pages
Book Rating : 4.7/5 (645 download)

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Book Synopsis Beginning Database Design by : Gavin Powell

Download or read book Beginning Database Design written by Gavin Powell and published by John Wiley & Sons. This book was released on 2006 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the #1 source for computing information, trusted by more than six million readers worldwide.

Advanced Calculus (Revised Edition)

Author : Lynn Harold Loomis
Publisher : World Scientific Publishing Company
ISBN 13 : 9814583952
Total Pages : 595 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Advanced Calculus (Revised Edition) by : Lynn Harold Loomis

Download or read book Advanced Calculus (Revised Edition) written by Lynn Harold Loomis and published by World Scientific Publishing Company. This book was released on 2014-02-26 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authorised reissue of the long out of print classic textbook, Advanced Calculus by the late Dr Lynn Loomis and Dr Shlomo Sternberg both of Harvard University has been a revered but hard to find textbook for the advanced calculus course for decades.This book is based on an honors course in advanced calculus that the authors gave in the 1960's. The foundational material, presented in the unstarred sections of Chapters 1 through 11, was normally covered, but different applications of this basic material were stressed from year to year, and the book therefore contains more material than was covered in any one year. It can accordingly be used (with omissions) as a text for a year's course in advanced calculus, or as a text for a three-semester introduction to analysis.The prerequisites are a good grounding in the calculus of one variable from a mathematically rigorous point of view, together with some acquaintance with linear algebra. The reader should be familiar with limit and continuity type arguments and have a certain amount of mathematical sophistication. As possible introductory texts, we mention Differential and Integral Calculus by R Courant, Calculus by T Apostol, Calculus by M Spivak, and Pure Mathematics by G Hardy. The reader should also have some experience with partial derivatives.In overall plan the book divides roughly into a first half which develops the calculus (principally the differential calculus) in the setting of normed vector spaces, and a second half which deals with the calculus of differentiable manifolds.

Knowledge Graphs

Author : Aidan Hogan
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636392369
Total Pages : 257 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Knowledge Graphs by : Aidan Hogan

Download or read book Knowledge Graphs written by Aidan Hogan and published by Morgan & Claypool Publishers. This book was released on 2021-11-08 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.