MySQL Workbench: Data Modeling & Development PDF Download
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Author: Michael McLaughlin
Publisher: McGraw Hill Professional
ISBN: 0071791892
Category : Computers
Languages : en
Pages : 481
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Book Description
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
Author: Michael McLaughlin
Publisher: McGraw Hill Professional
ISBN: 0071791892
Category : Computers
Languages : en
Pages : 481
Get Book Here
Book Description
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
Author: Michael McLaughlin
Publisher: McGraw Hill Professional
ISBN: 0071791884
Category : Computers
Languages : en
Pages : 482
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Book Description
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
Author: Alkin Tezuysal
Publisher: Packt Publishing Ltd
ISBN: 1803240962
Category : Computers
Languages : en
Pages : 222
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Book Description
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.
Author: Charles Golden
Publisher: Emereo Publishing
ISBN: 9781488857577
Category : Reference
Languages : en
Pages : 124
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Book Description
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...
Author: Eric Johnson
Publisher: Addison-Wesley Professional
ISBN: 0132701537
Category : Computers
Languages : en
Pages : 445
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Book Description
“ 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
Author: Seyed Tahaghoghi
Publisher: "O'Reilly Media, Inc."
ISBN: 0596008643
Category : Computers
Languages : en
Pages : 620
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Book Description
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.
Author: Guy Harrison
Publisher: "O'Reilly Media, Inc."
ISBN: 1449379133
Category : Computers
Languages : en
Pages : 640
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Book Description
The implementation of stored procedures in MySQL 5.0 a hugemilestone -- one that is expected to lead to widespread enterprise adoption ofthe already extremely popular MySQL database. If you are serious aboutbuilding the web-based database applications of the future, you need toget up to speed quickly on how stored procedures work -- and how tobuild them the right way. This book, destined to be the bible of storedprocedure development, is a resource that no real MySQL programmer canafford to do without. In the decade since MySQL burst on the scene, it has become thedominant open source database, with capabilities and performancerivaling those of commercial RDBMS offerings like Oracle and SQLServer. Along with Linux and PHP, MySQL is at the heart of millions ofapplications. And now, with support for stored procedures, functions,and triggers in MySQL 5.0, MySQL offers the programming power neededfor true enterprise use. MySQL's new procedural language has a straightforward syntax, making iteasy to write simple programs. But it's not so easy to write secure,easily maintained, high-performance, and bug-free programs. Few in theMySQL world have substantial experience yet with stored procedures, butGuy Harrison and Steven Feuerstein have decades of combined expertise. In MySQL Stored Procedure Programming, they putthat hard-won experience to good use. Packed with code examples and coveringeverything from language basics to application building to advancedtuning and best practices, this highly readable book is the one-stopguide to MySQL development. It consists of four major sections: MySQL stored programming fundamentals -- tutorial, basicstatements, SQL in stored programs, and error handling Building MySQL stored programs -- transaction handling,built-in functions, stored functions, and triggers MySQL stored programs in applications -- using storedprograms with PHP, Java, Perl, Python, and .NET (C# and VB.NET) Optimizing MySQL stored programs -- security, basic andadvanced SQL tuning, optimizing stored program code, and programmingbest practices A companion web site contains many thousands of lines of code, that youcan put to use immediately. Guy Harrison is Chief Architect of Database Solutions at Quest Softwareand a frequent speaker and writer on MySQL topics. Steven Feuerstein isthe author of Oracle PL/SQL Programming, the classic reference for Oracle stored programming for more than ten years. Both have decades of experience as database developers, and between them they have authored a dozen books.
Author: Joel Murach
Publisher: Mike Murach & Associates
ISBN: 9781890774820
Category : Database design
Languages : en
Pages : 0
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Book Description
This practical, hands-on tutorial/reference/guide to MySQL is perfect for beginners, but it also works for experienced developers who are not getting the most from MySQL. As you would expect, this book shows how to code all of the essential SQL statements for creating and working with a MySQL database. But beyond that, this book also shows how to design a database, including how to use the graphical MySQL Workbench to create an EER model. It shows how to take advantage of relatively new MySQL features such as foreign keys, transactions, stored procedures, stored functions, triggers, and events. It even presents a starting set of skills for a database administrator (DBA), including how to secure and back up databases. And like all Murach books, it uses the distinctive "paired pages" format, which breaks the material into manageable skills to speed up both learning and reference. A great help for MySQL users at any level.
Author: Alex Nordeen
Publisher: Guru99
ISBN:
Category : Computers
Languages : en
Pages : 152
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Book Description
Databases can be found in almost all software applications. Infact it's hard to find a software that doesn’t use a database. SQL is the standard language to query a database. SQL stand for: Structured Query Language. SQL provides basic to advance commands to retrieve, update, delete, insert data into database. This book is designed for beginners with little or no prior database experience. Here is what you will learn: Table Of Content Chapter 1: Introduction to Database and MySQL 1. What is Data? 2. What is a database? 3. What is a Database Management System? 4. Types of DBMS 5. What is SQL? 6. What is NoSQL? Chapter 2: Install MySQL workbench 1. What is MySQL? 2. Why use MySQL? 3. Introducing MySQL Workbench 4. MySQL workbench- Modeling and Design tool 5. MySQL workbench - SQL development tool 6. Install MySQL workbench Guide Chapter 3: Introduction To Database Design 1. Why Database Design is Important? 2. Database development life cycle 3. Requirements analysis 4. Database designing 5. Implementation 6. Types of Database Techniques Chapter 4: Database Normalization 1. What is Normalization? 2. 1NF Rules 3. What is Composite Key 4. 2NF Rules 5. 3NF Rules 6. Boyce-Codd Normal Form (BCNF) Chapter 5: ER Modeling 1. What is ER Modeling? 2. Enhanced Entity Relationship (EER) Model 3. Why use ER Model? 4. Entities in the "MyFlix" library 5. Defining the relationships among entities Chapter 6: How To Create A Database 1. Create Database 2. Creating Tables MySQL 3. Data types 4. MySQL workbench ER diagram forward Engineering Chapter 7: How to use SELECT in MySQL Chapter 8: Where clause in MySQL Chapter 9: How to use INSERT Into in MySQL Chapter 10: How to Delete & Update data in MySQL Chapter 11: ORDER BY, DESC and ASC Chapter 12: Group By Chapter 13: Wildcards Chapter 14: Regular Expressions Chapter 15: MySQL PHP Chapter 16: Aggregate Function in MySQL Chapter 17: Null value & Keyword in MySQL Chapter 18: Auto Increment Chapter 19: Alter, Drop & Rename Chapter 20: Limit keyword Chapter 21: Sub-Queries Chapter 22: Joins Chapter 23: Unions Chapter 24: Views Chapter 25: Index in MySQL
Author: Rajendra Akerkar
Publisher: Springer
ISBN: 3319292064
Category : Computers
Languages : en
Pages : 282
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Book Description
This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real‐world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.
