MySQL Workbench: Data Modeling & Development

2013-05-06 Computers

Author : Michael McLaughlin
Release : 2013-05-06
Genre : Computers
Kind : eBook
Book Rating : 892/5 ( reviews)

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Book Synopsis MySQL Workbench: Data Modeling & Development by : Michael McLaughlin

Download or read book MySQL Workbench: Data Modeling & Development written by Michael McLaughlin. This book was released on 2013-05-06. Available in PDF, EPUB and Kindle. Book excerpt: The only Oracle Press guide to MySQL Workbench explains how to design and model MySQL databases. MySQL Workbench Data Modeling and Development helps developers learn how to effectively use this powerful product for database modeling, reverse engineering, and interaction with the database without writing SQL statements. MySQL Workbench is a graphical user interface that can be used to create and maintain MySQL databases without coding. The book covers the interface and explains how to accomplish each step by illustrating best practices visually. Clear examples, instructions, and explanations reveal, in a single volume, the art of database modeling. This Oracle Press guide shows you how to get the tool to do what you want. Annotated screen shots demonstrate all interactions with the tool, and text explains the how, what, and why of each step. Complete coverage Installation and Configuration; Creating and Managing Connections; Data Modeling Concepts; Creating an ERD; Defining the Physical Schemata; Creating and Managing Tables; Creating and Managing Relationships; Creating and Managing Views; Creating and Managing Routines; Creating and Managing Routine Groups; Creating and Managing User & Groups; Creating and Managing SQL Scripts; Generating SQL Scripts; Forward Engineering a Data Model; Synchronize a Model with a Database; Reverse Engineering a Database; Managing Differences in the Data Catalog; Creating and Managing Model Notes; Editing Table Data; Editing Generated Scripts; Creating New Instances; Managing Import and Export; Managing Security; Managing Server Instances

MySQL Workbench: Data Modeling & Development

2013-04-30 Computers

Author : Michael McLaughlin
Release : 2013-04-30
Genre : Computers
Kind : eBook
Book Rating : 884/5 ( reviews)

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Book Synopsis MySQL Workbench: Data Modeling & Development by : Michael McLaughlin

Download or read book MySQL Workbench: Data Modeling & Development written by Michael McLaughlin. This book was released on 2013-04-30. Available in PDF, EPUB and Kindle. Book excerpt: MySQL Workbench Data Modeling and Development helps developers learn how to effectively use this powerful product for database modeling, reverse engineering, and interaction with the database without writing SQL statements. MySQL Workbench is a graphical user interface that developers can use to create and maintain MySQL databases without coding. The book covers the interface and explains how to accomplish each step by illustrating best practices visually

Database Design and Modeling with PostgreSQL and MySQL

2024-07-26 Computers

Author : Alkin Tezuysal
Release : 2024-07-26
Genre : Computers
Kind : eBook
Book Rating : 962/5 ( reviews)

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Book Synopsis Database Design and Modeling with PostgreSQL and MySQL by : Alkin Tezuysal

Download or read book Database Design and Modeling with PostgreSQL and MySQL written by Alkin Tezuysal. This book was released on 2024-07-26. Available in PDF, EPUB and Kindle. Book excerpt: Become well-versed with database modeling and SQL optimization, and gain a deep understanding of transactional systems through practical examples and exercises Key Features Get to grips with fundamental-to-advanced database design and modeling concepts with PostgreSQL and MySQL Explore database integration with web apps, emerging trends, and real-world case studies Leverage practical examples and hands-on exercises to reinforce learning Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDatabase Design and Modeling with PostgreSQL and MySQL will equip you with the knowledge and skills you need to architect, build, and optimize efficient databases using two of the most popular open-source platforms. As you progress through the chapters, you'll gain a deep understanding of data modeling, normalization, and query optimization, supported by hands-on exercises and real-world case studies that will reinforce your learning. You'll explore topics like concurrency control, backup and recovery strategies, and seamless integration with web and mobile applications. These advanced topics will empower you to tackle complex database challenges confidently and effectively. Additionally, you’ll explore emerging trends, such as NoSQL databases and cloud-based solutions, ensuring you're well-versed in the latest developments shaping the database landscape. By embracing these cutting-edge technologies, you'll be prepared to adapt and innovate in today's ever-evolving digital world. By the end of this book, you’ll be able to understand the technologies that exist to design a modern and scalable database for developing web applications using MySQL and PostgreSQL open-source databases.What you will learn Design a schema, create ERDs, and apply normalization techniques Gain knowledge of installing, configuring, and managing MySQL and PostgreSQL Explore topics such as denormalization, index optimization, transaction management, and concurrency control Scale databases with sharding, replication, and load balancing, as well as implement backup and recovery strategies Integrate databases with web apps, use SQL, and implement best practices Explore emerging trends, including NoSQL databases and cloud databases, while understanding the impact of AI and ML Who this book is for This book is for a wide range of professionals interested in expanding their knowledge and skills in database design and modeling with PostgreSQL and MySQL. This includes software developers, database administrators, data analysts, IT professionals, and students. While prior knowledge of MySQL and PostgreSQL is not necessary, some familiarity with at least one relational database management system (RDBMS) will help you get the most out of this book.

Data Modeling 152 Success Secrets - 152 Most Asked Questions on Data Modeling - What You Need to Know

2014-10-15 Reference

Author : Charles Golden
Release : 2014-10-15
Genre : Reference
Kind : eBook
Book Rating : 577/5 ( reviews)

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Book Synopsis Data Modeling 152 Success Secrets - 152 Most Asked Questions on Data Modeling - What You Need to Know by : Charles Golden

Download or read book Data Modeling 152 Success Secrets - 152 Most Asked Questions on Data Modeling - What You Need to Know written by Charles Golden. This book was released on 2014-10-15. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Book On Data Modeling. Data depicting in code designing and building is the procedure of generating a information type for an data configuration by submitting official information depicting methods. There has never been a Data Modeling Guide like this. It contains 152 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Data Modeling. A quick look inside of some of the subjects covered: Query language, System Architect (software) - Overview, SEMMA - Phases of SEMMA, CIDOC Conceptual Reference Model - Aims, Software development methodology - Computer-aided software engineering, Data model Semantic data model, Data analysis, Metamodeling - Types of metamodels, View model - Three schema approach, Unified Modeling Language - Overview, NASA X-43 - Testing, Database Late-1970s SQL DBMS, Information design - Etymology, Structured data, Metamodeling - Types of metamodels, Data structure diagram - Overview, Zachman Framework - Extended and modified frameworks, Entity relationship model, Business analytics - Basic domains within analytics, Structured data - Data Structure Diagram, Metadata registry - Metadata registry roles, Entity-relationship model, Kalido - History, MySQL Workbench - Features, Outline of information science - General information science concepts, Relational Model/Tasmania - RM/T Today, Data modeling Further reading, Semantic data model - History, Data modeling Overview, Structured data - Data modeling, Total least squares, Data modeling Semantic data modeling, e-Science, Database - Late 1970s, SQL DBMS, Borland Together, Cognos Reportnet - Components, Structured data - History, Metadata modeling, Ecole centrale de Lyon - LIRIS, and much more...

A Developer's Guide to Data Modeling for SQL Server

2008-06-24 Computers

Author : Eric Johnson
Release : 2008-06-24
Genre : Computers
Kind : eBook
Book Rating : 537/5 ( reviews)

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Book Synopsis A Developer's Guide to Data Modeling for SQL Server by : Eric Johnson

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

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