A Practical Guide To Logical Data Modeling
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A Practical Guide To Logical Data Modeling
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Author : George Tillmann
language : en
Publisher: McGraw-Hill Companies
Release Date : 1993
A Practical Guide To Logical Data Modeling written by George Tillmann and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
This book provides both the seasoned and novice designer with an understanding of logical data modeling--the stepping stone to structuring viable software systems. The basics of data modeling are presented in this clearly written guide, focusing on entity relationships, the most popular modeling approach in use today.
A Practical Guide To Logical Data Modeling
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Author : George Tillmann
language : en
Publisher:
Release Date : 2020-10-27
A Practical Guide To Logical Data Modeling written by George Tillmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-27 with categories.
Build the Systems That the Textbooks Only Talk AboutLittle has been written about exactly how to build a data model for a real-world production environment. A Practical Guide to Logical Data Modeling is an indispensable handbook, whether you are a data modeling novice or a seasoned professional. It features a best practices approach that shows you what actions to take, or to avoid, to build successful systems. The book starts with an in-depth tutorial on the Entity-Relationship Model-the most popular data modeling approach in use today. It then presents a set of guidelines that can help eliminate errors that, too often, turn a project success into a project failure. It continues with a step-by-step explanation of exactly how to build a platform-independent logical data model, including interviewing techniques, user presentation recommendations, and formal walkthrough review advice. The book ends with a look at the Entity-Relationship alternatives IDEF1X and the Unified Modeling Language (UML). This book contains real-world advice for the systems practitioner working in the corporate trenches. Whether you are a project manager, systems analyst, or database designer, you will benefit from the author's recommendations.
A Practical Guide To Database Design
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Author : Rex Hogan
language : en
Publisher: CRC Press
Release Date : 2018-03-08
A Practical Guide To Database Design written by Rex Hogan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-08 with Computers categories.
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.
Data Modeling Fundamentals
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Author : Paulraj Ponniah
language : en
Publisher: John Wiley & Sons
Release Date : 2007-06-30
Data Modeling Fundamentals written by Paulraj Ponniah and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-30 with Computers categories.
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.
Information Structure Design For Databases
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Author : Andrew J. Mortimer
language : en
Publisher: Butterworth-Heinemann
Release Date : 2014-05-12
Information Structure Design For Databases written by Andrew J. Mortimer and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Computers categories.
Computer Weekly Professional Series: Information Structure Design for Databases: A Practical Guide to Data modeling focuses on practical data modeling covering business and information systems. The publication first offers information on data and information, business analysis, and entity relationship model basics. Discussions cover degree of relationship symbols, relationship rules, membership markers, types of information systems, data driven systems, cost and value of information, importance of data modeling, and quality of information. The book then takes a look at entity relationship modeling connections, one-to-one relationship, and entity relationship modeling advanced topics, including connection traps, resolving many-to-many relationships, four combinations of membership, and entity merging. The text examines logical data dictionary, data flow diagrams, entity life history, and developing database applications. Topics include data modeling during development, waterfall approach, iterative development, sequence, selection, illegal data flow linkages, conservation of data, second normal form rule, and denormalization. The book is a valuable reference for researchers interested in data modeling.
Logical Data Modeling
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Author : Alan Chmura
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-09-29
Logical Data Modeling written by Alan Chmura and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-29 with Computers categories.
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 With Snowflake
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Author : Serge Gershkovich
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-09-02
Data Modeling With Snowflake written by Serge Gershkovich and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-02 with Computers categories.
Learn to build scalable data architecture using Snowflake's unique features through real-world use cases and SQL recipes that unlock data value for business and engineering teams Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Learn core modeling techniques through practical examples using native Snowflake architecture Adopt a universal modeling language to communicate business value to functional teams Go beyond physical modeling with SQL recipes to transform and shape your Snowflake data Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionStruggling with rising Snowflake costs and constant tuning? Poorly aligned data models can lead to bloated expenses, inefficient queries, and time-consuming rework. Data Modeling with Snowflake helps you harness the Snowflake Data Cloud’s scalable, cloud-native architecture and expansive feature set to deliver data solutions faster than ever. This book introduces simple, practical data modeling frameworks that accelerate agile design and evolve alongside your projects from concept to code. Rooted in decades of proven database design principles, these frameworks are paired, for the first time, with Snowflake-native objects and real-world examples, offering a two-in-one crash course in theory and direct application. Through real-world examples designed to make learning easy, you’ll leverage Snowflake’s innovative features like Time Travel, Zero-Copy Cloning, and Change Data Capture (CDC) to create cost-efficient solutions. Whether you're just starting out or refining your architecture, this book will guide you in designing smarter, scaling faster, and cutting costs by aligning timeless modeling principles with the power of Snowflake. *Email sign-up and proof of purchase requiredWhat you will learn Master data modeling fundamentals to get your designs right on the first attempt with time-saving benefits Discover Snowflake's cloud-native architecture and unique features Apply modeling concepts to achieve higher efficiency by leveraging Snowflake architecture Get to grips with modeling concepts like normalization and slowly changing dimensions (SCDs) Read and transform semi-structured data, including hierarchies, using pre-built recipes and examples Explore organizational frameworks like Data Vault and Data Mesh Understand the business metrics that drive scalable, cost-effective data projects Who this book is for Whether building data products or managing a data platform at scale, this book serves any developer who jumped into SQL without first establishing modeling best practices and understanding their effective applications to save time and effort. For analysts or those starting in database design, this book provides practical foundations of data modeling to guide you on your Snowflake data journey. Those new to Snowflake will discover its core features and learn to incorporate them into universal modeling frameworks.
Model Based Environment
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Author : Vladimir Pantic
language : en
Publisher: Trafford Publishing
Release Date : 2013-02-14
Model Based Environment written by Vladimir Pantic and has been published by Trafford Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-14 with Computers categories.
Information Systems are a synthesis of complex components where data plays a critical role. Data Modeling requires a disciplined approach making use of business and technical knowledge. Using data models for database design, implementation, and maintenance requires the implementation of procedures that will secure successful database deployment and validation. This book teaches you the basic technical knowledge required for physical data modeling as well as procedures for model implementation and maintenance. With examples in two major Relational Database Management Systems (Oracle and DB2) the book presents procedures for model design, implementation and maintenance in PowerDesigner modeling tool.
Practical Guide To Structured System Development And Maintenance
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Author : Roger Fournier
language : en
Publisher: Prentice Hall
Release Date : 1991
Practical Guide To Structured System Development And Maintenance written by Roger Fournier and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
Business Intelligence Career Master Plan
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Author : Eduardo Chavez
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-08-31
Business Intelligence Career Master Plan written by Eduardo Chavez and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Computers categories.
Learn the foundations of business intelligence, sector trade-offs, organizational structures, and technology stacks while mastering coursework, certifications, and interview success strategies Purchase of the print or Kindle book includes a free PDF eBook Key Features Identify promising job opportunities and ideal entry point into BI Build, design, implement, and maintain BI systems successfully Ace your BI interview with author's expert guidance on certifications, trainings, and courses Book DescriptionNavigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.What you will learn Understand BI roles, roadmap, and technology stack Accelerate your career and land your first job in the BI industry Build the taxonomy of various data sources for your organization Use the AdventureWorks database and PowerBI to build a robust data model Create compelling data stories using data visualization Automate, templatize, standardize, and monitor systems for productivity Who this book is for This book is for BI developers and business analysts who are passionate about data and are looking to advance their proficiency and career in business intelligence. While foundational knowledge of tools like Microsoft Excel is required, having a working knowledge of SQL, Python, Tableau, and major cloud providers such as AWS or GCP will be beneficial.