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| draw data model diagram: Learning MySQL Seyed Tahaghoghi, Hugh E. Williams, 2007-11-28 This new book in the popular Learning series offers an easy-to-use resource for newcomers to the MySQL relational database. This tutorial explains in plain English how to set up MySQL and related software from the beginning, and how to do common tasks. |
| draw data model diagram: The Entity-Relationship Model Peter Pin-Shan Chen, 2016-12-06 Excerpt from The Entity-Relationship Model: A Basis for the Enterprise View of Data The subject of the logical view of data has attracted considerable attention in the past ten years. However, most researchers have focused on the user View of data. The need for studying the enterprise view of data was not recognized until recently. Different users of a database may have different views of the database, but the enterprise should have a unique and consistent view of the database. This is particularly important in designing a logically meaningful and consistent database. The concept of the enterprise View of data is very useful in the database design process and in. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works. |
| draw data model diagram: Data Modeling Fundamentals Paulraj Ponniah, 2007-06-30 The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to represent truly the enterprise information requirements. |
| draw data model diagram: Database Design and Development Raymond Frost, John Charles Day, Craig Van Slyke, 2006 For students in the introductory course in database who want to learn how to design rather than just manipulate relational databases.The book that balances database theory, business problem solving, and hands-on-practice. This book prepares student for the workplace without sacrificing rigorous academic theory. |
| draw data model diagram: Fundamentals of Database Systems Ramez Elmasri, Sham Navathe, 2007 This edition combines clear explanations of database theory and design with up-to-date coverage of models and real systems. It features excellent examples and access to Addison Wesley's database Web site that includes further teaching, tutorials and many useful student resources. |
| draw data model diagram: R for Data Science Hadley Wickham, Garrett Grolemund, 2016-12-12 Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true signals in your dataset Communicate—learn R Markdown for integrating prose, code, and results |
| draw data model diagram: Six-step Relational Database Design Fidel A. Captain, 2013-05-11 Bridges the gaps between database theory, database modeling, and database implementation by outlining a simple but reliable six-step process for accurately modeling user data on a Crow's Foot Relational Model Diagram, and then demonstrating how to implement this model on any relational database management system. This volume uses three case studies and starts with a statement of the problem by the client and then goes through the six steps necessary to create a reliable and accurate data model of the client's business requirements. The second edition contains a new chapter on implementation that goes through the steps necessary to implement each of the case studies on a relational database management system, clearly relating the design to implementation and database theory. In addition, questions are also included at the end of each of the six steps and one of the previous case studies has been replaced, making the case study selection more diverse. This book is intended for use as a handbook for students and professionals in the software-development field. The technique described in this book can be used by students for quickly developing relational databases for their applications, and by professionals for developing sturdy, reliable, and accurate relational database models for their software applications. --From publisher description. |
| draw data model diagram: Visualization Analysis and Design Tamara Munzner, 2014-12-01 Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques |
| draw data model diagram: An Introduction to Information Engineering Clive Finkelstein, 1989 |
| draw data model diagram: Graph Drawing David Eppstein, Emden R Gansner, 2010-03-10 This volume constitutes the refereed proceedings of the 17th International Symposium on Graph Drawing, GD 2009, held in Chicago, USA, during September 2009. The 31 revised full papers and 4 short papers presented were carefully reviewed and selected out of 79 submissions. Furthermore, 10 posters were accepted in a separate submission process. |
| draw data model diagram: Domain-driven Design Eric Evans, 2004 Domain-Driven Design incorporates numerous examples in Java-case studies taken from actual projects that illustrate the application of domain-driven design to real-world software development. |
| draw data model diagram: Database Modeling and Design Toby J. Teorey, Sam S. Lightstone, Tom Nadeau, H.V. Jagadish, 2011-02-10 Database Modeling and Design, Fifth Edition, focuses on techniques for database design in relational database systems. This extensively revised fifth edition features clear explanations, lots of terrific examples and an illustrative case, and practical advice, with design rules that are applicable to any SQL-based system. The common examples are based on real-life experiences and have been thoroughly class-tested. This book is immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data. It is ideal for a stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database management. - In-depth detail and plenty of real-world, practical examples throughout - Loaded with design rules and illustrative case studies that are applicable to any SQL, UML, or XML-based system - Immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data |
| draw data model diagram: A Practical Guide to Database Design Rex Hogan, 2018-03-08 Fully updated and expanded from the previous edition, A Practical Guide to Database Design, Second Edition is intended for those involved in the design or development of a database system or application. It begins by illustrating how to develop a Third Normal Form data model where data is placed “where it belongs”. The reader is taken step-by-step through the Normalization process, first using a simple then a more complex set of data requirements. Next, usage analysis for each Logical Data Model is reviewed and a Physical Data Model is produced that will satisfy user performance requirements. Finally, each Physical Data Model is used as input to create databases using both Microsoft Access and SQL Server. The book next shows how to use an industry-leading data modeling tool to define and manage logical and physical data models, and how to create Data Definition Language statements to create or update a database running in SQL Server, Oracle, or other type of DBMS. One chapter is devoted to illustrating how Microsoft Access can be used to create user interfaces to review and update underlying tables in that database as well as tables residing in SQL Server or Oracle. For users involved with Cyber activity or support, one chapter illustrates how to extract records of interest from a log file using PERL, then shows how to load these extracted records into one or more SQL Server “tracking” tables adding status flags for analysts to use when reviewing activity of interest. These status flags are used to flag/mark collected records as “Reviewed”, “Pending” (currently being analyzed) and “Resolved”. The last chapter then shows how to build a web-based GUI using PHP to query these tracking tables and allow an analyst to review new activity, flag items that need to be investigated, and finally flag items that have been investigated and resolved. Note that the book has complete code/scripts for both PERL and the PHP GUI. |
| draw data model diagram: Database Design for Mere Mortals Michael James Hernandez, 2003 This book takes the somewhat daunting process of database design and breaks it into completely manageable and understandable components. Mike's approach whilst simple is completely professional, and I can recommend this book to any novice database designer. --Sandra Barker, Lecturer, University of South Australia, Australia Databases are a critical infrastructure technology for information systems and today's business. Mike Hernandez has written a literate explanation of database technology--a topic that is intricate and often obscure. If you design databases yourself, this book will educate you about pitfalls and show you what to do. If you purchase products that use a database, the book explains the technology so that you can understand what the vendor is doing and assess their products better. --Michael Blaha, consultant and trainer, author of A Manager's Guide to Database Technology If you told me that Mike Hernandez could improve on the first edition of Database Design for Mere Mortals I wouldn't have believed you, but he did! The second edition is packed with more real-world examples, detailed explanations, and even includes database-design tools on the CD-ROM! This is a must-read for anyone who is even remotely interested in relational database design, from the individual who is called upon occasionally to create a useful tool at work, to the seasoned professional who wants to brush up on the fundamentals. Simply put, if you want to do it right, read this book! --Matt Greer, Process Control Development, The Dow Chemical Company Mike's approach to database design is totally common-sense based, yet he's adhered to all the rules of good relational database design. I use Mike's books in my starter database-design class, and I recommend his books to anyone who's interested in learning how to design databases or how to write SQL queries. --Michelle Poolet, President, MVDS, Inc. Slapping together sophisticated applications with poorly designed data will hurt you just as much now as when Mike wrote his first edition, perhaps even more. Whether you're just getting started developing with data or are a seasoned pro; whether you've read Mike's previous book or this is your first; whether you're happier letting someone else design your data or you love doing it yourself--this is the book for you. Mike's ability to explain these concepts in a way that's not only clear, but fun, continues to amaze me. --From the Foreword by Ken Getz, MCW Technologies, coauthor ASP.NET Developer's JumpStart The first edition of Mike Hernandez's book Database Design for Mere Mortals was one of the few books that survived the cut when I moved my office to smaller quarters. The second edition expands and improves on the original in so many ways. It is not only a good, clear read, but contains a remarkable quantity of clear, concise thinking on a very complex subject. It's a must for anyone interested in the subject of database design. --Malcolm C. Rubel, Performance Dynamics Associates Mike's excellent guide to relational database design deserves a second edition. His book is an essential tool for fledgling Microsoft Access and other desktop database developers, as well as for client/server pros. I recommend it highly to all my readers. --Roger Jennings, author of Special Edition Using Access 2002 There are no silver bullets! Database technology has advanced dramatically, the newest crop of database servers perform operations faster than anyone could have imagined six years ago, but none of these technological advances will help fix a bad database design, or capture data that you forgot to include! Database Design for Mere Mortals(TM), Second Edition, helps you design your database right in the first place! --Matt Nunn, Product Manager, SQL Server, Microsoft Corporation When my brother started his professional career as a developer, I gave him Mike's book to help him understand database concepts and make real-world application of database technology. When I need a refresher on the finer points of database design, this is the book I pick up. I do not think that there is a better testimony to the value of a book than that it gets used. For this reason I have wholeheartedly recommended to my peers and students that they utilize this book in their day-to-day development tasks. --Chris Kunicki, Senior Consultant, OfficeZealot.com Mike has always had an incredible knack for taking the most complex topics, breaking them down, and explaining them so that anyone can 'get it.' He has honed and polished his first very, very good edition and made it even better. If you're just starting out building database applications, this book is a must-read cover to cover. Expert designers will find Mike's approach fresh and enlightening and a source of great material for training others. --John Viescas, President, Viescas Consulting, Inc., author of Running Microsoft Access 2000 and coauthor of SQL Queries for Mere Mortals Whether you need to learn about relational database design in general, design a relational database, understand relational database terminology, or learn best practices for implementing a relational database, Database Design for Mere Mortals(TM), Second Edition, is an indispensable book that you'll refer to often. With his many years of real-world experience designing relational databases, Michael shows you how to analyze and improve existing databases, implement keys, define table relationships and business rules, and create data views, resulting in data integrity, uniform access to data, and reduced data-entry errors. --Paul Cornell, Site Editor, MSDN Office Developer Center Sound database design can save hours of development time and ensure functionality and reliability. Database Design for Mere Mortals(TM), Second Edition, is a straightforward, platform-independent tutorial on the basic principles of relational database design. It provides a commonsense design methodology for developing databases that work. Database design expert Michael J. Hernandez has expanded his best-selling first edition, maintaining its hands-on approach and accessibility while updating its coverage and including even more examples and illustrations. This edition features a CD-ROM that includes diagrams of sample databases, as well as design guidelines, documentation forms, and examples of the database design process. This book will give you the knowledge and tools you need to create efficient and effective relational databases. |
| draw data model diagram: UML for Database Design Eric J. Naiburg, Robert A. Maksimchuck, 2001 Typically, analysis, development, and database teams work for different business units, and use different design notations. With UML and the Rational Unified Process (RUP), however, they can unify their efforts -- eliminating time-consuming, error-prone translations, and accelerating software to market. In this book, two data modeling specialists from Rational Software Corporation show exactly how to model data with UML and RUP, presenting proven processes and start-to-finish case studies. The book utilizes a running case study to bring together the entire process of data modeling with UML. Each chapter dissects a different stage of the data modeling process, from requirements through implementation. For each stage, the authors cover workflow and participants' roles, key concepts, proven approach, practical design techniques, and more. Along the way, the authors demonstrate how integrating data modeling into a unified software design process not only saves time and money, but gives all team members a far clearer understanding of the impact of potential changes. The book includes a detailed glossary, as well as appendices that present essential Use Case Models and descriptions. For all software team members: managers, team leaders, systems and data analysts, architects, developers, database designers, and others involved in building database applications for the enterprise. |
| draw data model diagram: Database Modeling with Microsoft® Visio for Enterprise Architects Terry Halpin, Ken Evans, Pat Hallock, Bill Maclean, 2003-09-11 This book is for database designers and database administrators using Visio, which is the database component of Microsoft's Visual Studio .NET for Enterprise Architects suite, also included in MSDN subscriptions. This is the only guide to this product that tells DBAs how to get their job done. Although primarily focused on tool features, the book also provides an introduction to data modeling, and includes practical advice on managing database projects. The principal author was the program manager of VEA's database modeling solutions.·Explains how to model databases with Microsoft® Visio for Enterprise Architects (VEA), focusing on tool features.·Provides a platform-independent introduction to data modeling using both Object Role Modeling (ORM) and Entity Relationship Modeling (ERM), and includes practical advice on managing database projects.·Additional ORM models, course notes, and add-ins available online. |
| draw data model diagram: Systems Analysis and Design Alan Dennis, Barbara Haley Wixom, Roberta M. Roth, 2019 With the overarching goal of preparing the analysts of tomorrow, Systems Analysis and Design offers students a rigorous hands-on introduction to the field with a project-based approach that mirrors the real-world workflow. Core concepts are presented through running cases and examples, bolstered by in-depth explanations and special features that highlight critical points while emphasizing the process of doing alongside learning. As students apply their own work to real-world cases, they develop the essential skills and knowledge base a professional analyst needs while developing an instinct for approach, tools, and methods. Accessible, engaging, and geared toward active learning, this book conveys both essential knowledge and the experience of developing and analyzing systems; with this strong foundation in SAD concepts and applications, students are equipped with a robust and relevant skill set that maps directly to real-world systems analysis projects. -- Provided by publisher. |
| draw data model diagram: Unified Modeling Language: Systems Analysis, Design and Development Issues Siau, Keng, Halpin, Terry, 2000-07-01 UML is a large and complex language, with many features in need of refinement or clarification, and there are different views about how to use UML to build systems. This book sheds light on such issues, by illustrating how UML can be used successfully in practice as well as identifying various problematic aspects of UML and suggesting possible solutions. |
| draw data model diagram: Design of Industrial Information Systems Thomas Boucher, Ali Yalcin, 2010-07-26 Design of Industrial Information Systems presents a body of knowledge applicable to many aspects of industrial and manufacturing systems. New software systems, such as Enterprise Resource Planning, and new hardware technologies, such as RFID, have made it possible to integrate what were separate IT databases and operations into one system to realize the greatest possible operational efficiencies. This text provides a background in, and an introduction to, the relevant information technologies and shows how they are used to model and implement integrated IT systems.With the growth of courses in information technology offered in industrial engineering and engineering management programs, the authors have written this book to show how such computer-based knowledge systems are designed and used in modern manufacturing and industrial companies. - Introduces Data Modeling and Functional Architecture Design, with a focus on integration for overall system design - Encompasses hands-on approach, employing many in-chapter exercises and end-of-chapter problem sets with case studies in manufacturing and service industries - Shows the reader how Information Systems can be integrated into a wider E-business/Web-Enabled Database business model - Offers applications in Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES) |
| draw data model diagram: Analyst Workbenches R Rock-Evans, 2013-10-22 Analyst Workbenches examines various aspects of analyst workbenches and the tasks and data that they should support. The major advances and state of the art in analyst workbenches are discussed. A comprehensive list of the available analyst workbenches, both the experimental and the commercial products, is provided. Comprised of three parts, this book begins by describing International Computers Ltd's approach to automating analysis and design. It then explains what business analysis really means, outlines the principal features of analyst workbenches, and considers the ways in which they can solve the problems. The following chapters focus on how the analyst can deal with performance issues and lay proper foundations for the later, more detailed, work of the designer; the use of artificial intelligence techniques in workbenches; and strategic information systems planning technology. Integrated Project Support Environments (IPSEs) and the workbench-related phenomenon of mapping are also discussed. The final chapter evaluates future prospects for workbench products. This monograph will be a valuable resource for systems analysts and designers. |
| draw data model diagram: Database Design and Development Paulraj Ponniah, 2003-04-18 The first and only database primer for today’s global economy Today’s businesses depend on their databases to provide information essential for their day-to-day operations and to help them take advantage of today’s rapidly growing and maturing electronic commerce opportunities. The primary responsibility for the design and maintenance of these databases rests with a company’s information technology department. Unlike other IT resources currently available that tend to focus on a particular product, Database Design and Development: An Essential Guide for IT Professionals was created to give today’s IT directors and other IT staff a solid basic knowledge of database design and development to help them make educated decisions about the right database environment for their companies. Today’s IT professionals must understand the fundamentals in order to determine their next steps for specializing in the vast field of database technology. Database Design and Development: An Essential Guide for IT Professionals answers such common questions as: What is the purpose of a database system? What are the components of a database system? What type of data does your company need to capture? How do you design a database for a particular goal? How do you capture information through data modeling? How do you determine which database will best meet your business objectives? What’s involved in effective database management and maintenance? How are database systems used to interface with the Internet? With more than twenty-five years of experience teaching IT courses and designing databases for some of America’s top institutions, the author has succeeded in creating an essential resource for today’s IT managers as well as for students planning a career in information technology. |
| draw data model diagram: Agile Database Techniques Scott Ambler, 2012-09-17 Describes Agile Modeling Driven Design (AMDD) and Test-Driven Design (TDD) approaches, database refactoring, database encapsulation strategies, and tools that support evolutionary techniques Agile software developers often use object and relational database (RDB) technology together and as a result must overcome the impedance mismatch The author covers techniques for mapping objects to RDBs and for implementing concurrency control, referential integrity, shared business logic, security access control, reports, and XML An agile foundation describes fundamental skills that all agile software developers require, particularly Agile DBAs Includes object modeling, UML data modeling, data normalization, class normalization, and how to deal with legacy databases Scott W. Ambler is author of Agile Modeling (0471202827), a contributing editor with Software Development (www.sdmagazine.com), and a featured speaker at software conferences worldwide |
| draw data model diagram: Practical Web Database Design Chris Auld, Allan Kent, Rudy Limeback, Nigel Stanger, Thearon Willis, 2013-11-11 Although many web professionals will have incorporated a database into a web site before, they may not have much experience of designing them - this book will teach you all you need to know about designing a database for use with a web site or web application. From first principles to designing a successful web database, this book will show you how to get the most out of database design. From the Publisher Unlike other database design books in the market, this one focuses on design of databases for use on the Web. Web databases benefit from good general database design principles, but also have their own set of caveats, which must be considered for their design to be truly successful. This book covers both the general, and the web-specific database principles. |
| draw data model diagram: Beginning Database Design Gavin Powell, 2006 From the #1 source for computing information, trusted by more than six million readers worldwide. |
| draw data model diagram: Conceptual Database Design Carlo Batini, Stefano Ceri, Shamkant B. Navathe, 1992 This database design book provides the reader with a unique methodology for the conceptual and logical design of databases. A step-by-step method is given for developing a conceptual structure for large databases with multiple users. Additionally, the authors provide an up-to-date survey and analysis of existing database design tools. |
| draw data model diagram: Simulation Conceptual Modeling Jeffrey Strickland, 2011-10-27 Simulation Conceptual Modeling explores several system analysis methods and conceptual modeling techniques. It also discusses appropriate tools that may be used to assist with conceptual modeling. In addition, it discusses how to evaluate the quality of a conceptual model. Some commonly used conceptual modeling techniques and methods include; Data Flow Modeling, Entity Relationship Modeling, Event-Drive Process Chain, Joint Application Development, Place/Transition Net Modeling, State Transition Modeling, Object Role Modeling, and Unified Modeling Language (UML). |
| draw data model diagram: The Object Primer Scott W. Ambler, 2004-03-22 The acclaimed beginner's book on object technology now presents UML 2.0, Agile Modeling, and object development techniques. |
| draw data model diagram: UML Distilled Martin Fowler, 2018-08-30 More than 300,000 developers have benefited from past editions of UML Distilled . This third edition is the best resource for quick, no-nonsense insights into understanding and using UML 2.0 and prior versions of the UML. Some readers will want to quickly get up to speed with the UML 2.0 and learn the essentials of the UML. Others will use this book as a handy, quick reference to the most common parts of the UML. The author delivers on both of these promises in a short, concise, and focused presentation. This book describes all the major UML diagram types, what they're used for, and the basic notation involved in creating and deciphering them. These diagrams include class, sequence, object, package, deployment, use case, state machine, activity, communication, composite structure, component, interaction overview, and timing diagrams. The examples are clear and the explanations cut to the fundamental design logic. Includes a quick reference to the most useful parts of the UML notation and a useful summary of diagram types that were added to the UML 2.0. If you are like most developers, you don't have time to keep up with all the new innovations in software engineering. This new edition of Fowler's classic work gets you acquainted with some of the best thinking about efficient object-oriented software design using the UML--in a convenient format that will be essential to anyone who designs software professionally. |
| draw data model diagram: WORKBOOK ON SYSTEMS ANALYSIS & DESIGN VINOD KUMAR GARG, S. SRINIVASAN, 2000-01-01 This second edition, which is intended to provide step-by-step approach to the fundamentals of systems development in interactive hands-on and stimulating learning environment, includes new chapters that focus on object-oriented analysis and design and approach to web application developmentTo enhance understanding of the subject, all the topics of the first edition have been reviewed and expanded.In this workbook, examples are introduced in the sequence in which they would be needed during systems analysis and designThe book first outlines the steps followed in analysis and design and then illustrates the same with examplesThe end-of-chapter practice exercises provide an incremental framework to reinforce the hands-on nature of learning.This should serve as an ideal workbook for students and instructors as well as for the systems analysts and designers of IT companies to solve their day-to-day systems related problems. |
| draw data model diagram: Business analyst: a profession and a mindset Yulia Kosarenko, 2019-05-12 What does it mean to be a business analyst? What would you do every day? How will you bring value to your clients? And most importantly, what makes a business analyst exceptional? This book will answer your questions about this challenging career choice through the prism of the business analyst mindset — a concept developed by the author, and its twelve principles demonstrated through many case study examples. Business analyst: a profession and a mindset is a structurally rich read with over 90 figures, tables and models. It offers you more than just techniques and methodologies. It encourages you to understand people and their behaviour as the key to solving business problems. |
| draw data model diagram: Cassandra: The Definitive Guide Jeff Carpenter, Eben Hewitt, 2016-06-29 Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene |
| draw data model diagram: Building Object Applications that Work Scott W. Ambler, 1998-02-13 Reviews the entire process of building object applications from analyzing the project, to designing a user-friendly interface and testing the functionality of your approaches. |
| draw data model diagram: Mastering Data Visualization with Microsoft Visio Professional 2016 David J Parker, 2016-05-27 Master the art of presenting information visually using Microsoft Visio Professional 2016 and Visio Pro for Office365 About This Book A complete guide to data visualization with Microsoft Visio Professional 2016 Visualize information to meet the needs of your business Get the quick way to learn Microsoft Visio 2016 Who This Book Is For This book is aimed at the departmental-level business intelligence professional or Microsoft Office power-user who wants to create data diagrams with Microsoft Visio that can accurately represent business information visually. What You Will Learn Add external data from a variety of data sources Represent information with data graphics Create custom data-like shapes Export data from structured diagrams Present information graphics to non-Visio users Automate visualizations from data Develop custom templates and code for others In Detail Microsoft Visio Professional is a data visualization application that is used by many different market sectors and many different departments to represent information visually, from network infrastructure to organization charts, from process diagrams to office layouts. Starting off with a brief introduction to Visio Professional 2016 and then moving on to data storage, linking data to shapes, and working with SQL Server to create a solid foundation. Then we'll cover topics such as refreshing data, working with geographical data, working with various graphics, and diagrams, and more. Finally, you'll find out how to deploy custom stencils, templates, and code. Style and approach This book has real life examples that will let you explore all the new features of Microsoft Visio 2016 and apply them in your daily life. |
| draw data model diagram: Agile Data Warehouse Design Lawrence Corr, Jim Stagnitto, 2011-11 Agile Data Warehouse Design is a step-by-step guide for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders. This book describes BEAM✲, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM✲ provides tools and techniques that will encourage DW/BI designers and developers to move away from their keyboards and entity relationship based tools and model interactively with their colleagues. The result is everyone thinks dimensionally from the outset! Developers understand how to efficiently implement dimensional modeling solutions. Business stakeholders feel ownership of the data warehouse they have created, and can already imagine how they will use it to answer their business questions. Within this book, you will learn: ✲ Agile dimensional modeling using Business Event Analysis & Modeling (BEAM✲) ✲ Modelstorming: data modeling that is quicker, more inclusive, more productive, and frankly more fun! ✲ Telling dimensional data stories using the 7Ws (who, what, when, where, how many, why and how) ✲ Modeling by example not abstraction; using data story themes, not crow's feet, to describe detail ✲ Storyboarding the data warehouse to discover conformed dimensions and plan iterative development ✲ Visual modeling: sketching timelines, charts and grids to model complex process measurement - simply ✲ Agile design documentation: enhancing star schemas with BEAM✲ dimensional shorthand notation ✲ Solving difficult DW/BI performance and usability problems with proven dimensional design patterns Lawrence Corr is a data warehouse designer and educator. As Principal of DecisionOne Consulting, he helps clients to review and simplify their data warehouse designs, and advises vendors on visual data modeling techniques. He regularly teaches agile dimensional modeling courses worldwide and has taught dimensional DW/BI skills to thousands of students. Jim Stagnitto is a data warehouse and master data management architect specializing in the healthcare, financial services, and information service industries. He is the founder of the data warehousing and data mining consulting firm Llumino. |
| draw data model diagram: The Definitive Guide to Firebase Laurence Moroney, 2017-11-10 Plan how to build a better app, grow it into a business, and earn money from your hard work using Firebase. In this book, Laurence Moroney, Staff Developer Advocate at Google, takes you through each of the 15 Firebase technologies, showing you how to use them with concrete examples. You’ll see how to build cross-platform apps with the three pillars of the Firebase platform: technologies to help you develop apps with a real-time database, remote configuration, cloud messaging, and more; grow your apps with user sharing, search integration, analytics, and more; and earn from your apps with in-app advertising. After reading The Definitive Guide to Firebase, you'll come away empowered to make the most of this technology that helps you build better cross-platform mobile apps using either native Android or JavaScript-based web apps and effectively deploy them in a cloud environment. What You'll Learn Use the real-time database for a codeless middleware that gives online and offline data for syncing across your users’ devices Master Firebase Cloud Messaging, a technology that delivers to connected devices in less than 500ms Grow your app organically with technologies such App Indexing, App Invites, and Dynamic Links Understand problems when they arise with crash reporting Fix user problems without direct access to users’ devices Tie it all together with analytics that give you great intelligence about how users interact with your app Who This Book Is For Experienced Android, mobile app developers new to Firebase. This book is also for experienced web developers looking to build and deploy web apps for smartphones and tablets, too, who may be new or less experienced with mobile programming. |
| draw data model diagram: Architectural Diagrams Mi Young Pyo, 2015 The trendsetting architect Rem Koolhaas has carried it out to perfection, whereas the next generation of international stars refined it even more, giving us the unconventional presentation of designs and ideas in the form of diagrams. This method of presentation is easy to understand when dealing with the client and can be communicated internationally, beyond language and cultural barriers - a product of our globalised world. However, diagrams are now much more than explanations and form their own discipline in creative professions connected to design and construction. What looks simple is in fact a complex matter. This title in the series Construction and Design Manual is in its second edition and assembles 384 pages of diagrams by avant-garde architects and designers who specialise in public space, landscape architecture and urban planning. |
| draw data model diagram: Charlie Weatherburn and the Flying Machine , 2011 The story about Charlie Weatherburn's schemes to design and build a flying machine. |
| draw data model diagram: Database Design Using Entity-Relationship Diagrams Sikha Bagui, Richard Earp, 2003-06-27 Entity-relationship (E-R) diagrams are time-tested models for database development well-known for their usefulness in mapping out clear database designs. Also commonly known is how difficult it is to master them. With this comprehensive guide, database designers and developers can quickly learn all the ins and outs of E-R diagramming to become expe |
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| draw data model diagram: Data Modelling and Process Modelling using the most popular Methods Rosemary Rock-Evans, 2014-05-12 Computer Weekly Professional Series: Data modeling and Process modeling: Using the Most Popular Methods focuses on the processes, methodologies, and approaches employed in data modeling and process modeling. The book first offers information on data modeling, how to do data modeling, and process modeling. Discussions focus on diagrammatic representation, main concepts of process modeling, merging the models, refining the data model, diagrammatic techniques, fundamental rules of data modeling, and other deliverables of data modeling. The text then examines how to do process modeling and improving a system using analysis deliverables. Topics include problems, causes and effects, events, obligations and objectives, verification methods, and refining the results. The manuscript reviews elementary activities, including structured text and access paths, updating the data model from the access paths and structured English, and other useful detailed deliverables of an elementary activity. The publication is a valuable source of data for researchers interested in data modeling and process modeling. |
2. Conceptual Modeling using the Entity-Relationship Model - UC Davis
Ideas ! High-level ! design Relational database ! schema Relational DBMS Entity-Relationship model is used in the conceptual design of … See more
Conceptual Database Model. Entity Relationship Diagram (ERD).
Learn the essentials of ER Diagrams and ER Models, along with their origins, uses, examples, components, limitations and guidelines on how to draw them using our ER diagram tool. …
Entity-Relationship (ER) Diagrams - Northeastern University
Description of data requirements that is… Comprehensive • Entity types, relationships, and constraints • Sanity check of data & functional requirements • Reference for [unit/integration] …
Data Modeling Overview Guide
While data modeling can be complex, this Overview Guide can help Data Architects under-stand data modeling and its uses. Provide a basic level of understanding of the data modeling …
THE ENTITY- RELATIONSHIP (ER) MODEL - University of …
ER MODEL OVERVIEW ER model describes data in terms of: •Entities and entity sets • Objects •Relationships and relationship sets • Connections between objects •Attributes • Properties that …
The Entity-Relationship Model - Virginia Tech
Converting E/R diagram to relational designs. Identify all entities and relationships and describe them using an E/R diagram . Convert the E/R model to a number of relations in a relational …
A Practical Guide to Entity-Relationship Modeling
Beginners in data modeling have a great deal of difficulty learning how to approach a given problem, what questions to ask in order to build a model, what rules to use while constructing …
Drawing ER Diagrams Using Draw - University of …
Drawing ER Diagrams Using Draw.io . Draw.io is a drawing tool, not a Computer-Aided Software Engineering (CASE) tool. Installation . Go to . https://about.draw.io/integrations/ and download …
The Entity/Relationship (ER) Model & DB Design
Entity/Relationship Model • Visual data model (diagram-based) − Quickly “chart out” a database design − Easier to “see” big picture − Comparable to class diagrams in UML • Basic concept: …
Chapter 2: ER-Diagrams - TUM
•Characteristics of the data Two important concepts during DBS design: •Data Model: How to describe the data? •Data Schema: Concrete description of the data (using the chosen data …
Creating a Logical Data Model - pearsoncmg.com
In designing a database, to meet a given business need, the logical data model most used is the Entity Relationship Model, or ER Model. In determining the ER model, you define the elements …
Chapter 4 Mapping Conceptual Models to Database Schemas
Given the relationships and constraints, the mappings group data items to- gether into flat relational schemas for relational databases and into nested relational schemas for object …
Data Flow Diagram Tutorial After completion of study of this …
Data Flow Diagram Tutorial Objectives After completion of study of this unit you should be able to: • Describe the use of data flow diagrams • Produce a data flow diagram from a given case …
Data Management 02 Conceptual Design - GitHub Pages
Draw ER diagrams in any presentation software (e.g., MS PowerPoint, LibreOffice) Many desktop or web‐based tools support ER diagrams directly
Hierarchical Model - Database System Concepts
Jun 10, 2009 · In this chapter we illustrate our concepts using a bank enterprise with the schema shown in Figure 2.15. A hierarchical database consists of a collection of records that are …
NoSQL Database Design Using UML Conceptual Data Model …
To solve this problem, this study proposes NoSQL database design method using conceptual data model based on Peter Chen’s framework. The proposed design method is applied to the e …
CAMEO DATA MODELER PLUGIN - Dassault Systèmes
Cameo Data Modeler plugin provides data-related modeling for MagicDraw. It includes entity-relationship, database and XML schema modeling features. This plugin enables you to draw …
Data Mapping Diagrams for Data Warehouse Design with UML
Data Mapping Diagrams for Data Warehouse Design with UML 193 in a global approach that allows us to accomplish the conceptual, logical and the corresponding physical design of all …
Data Flow Diagrams - University of Michigan
Functional Model n Data Flow Diagram. 2 Elements of a DFD Process def’n: part of a DFD that transforms data values n shows possible functional paths ... To Draw Data Flow Diagrams n …
What is Data Flow Diagram (DFD)? How to Draw DFD? - Visual …
Jan 27, 2012 · The list below directs you to various Data Flow Diagram examples that cover different businesses and problem domains. Some of them consist of the use of multiple context …
2. Conceptual Modeling using the Entity-Relationship Mo…
Entity-Relationship Model Contents Basic concepts: entities and entity types, attributes and keys, …
Conceptual Database Model. Entity Relationship Diagra…
Learn the essentials of ER Diagrams and ER Models, along with their origins, uses, examples, components, …
Entity-Relationship (ER) Diagrams - Northeastern U…
Description of data requirements that is… Comprehensive • Entity types, relationships, and constraints • …
Data Modeling Overview Guide
While data modeling can be complex, this Overview Guide can help Data Architects under-stand data …
THE ENTITY- RELATIONSHIP (ER) MODEL - University of …
ER MODEL OVERVIEW ER model describes data in terms of: •Entities and entity sets • Objects •Relationships …
