Pascal educates PC users on the true meaning and usefulness of relational database management. Topics include a thorough explanation of the relational model, a clarification of the twelve fidelity rules, an overview of SQL components, and more.

SQL is full of difficulties and traps for the unwary. You can avoid them if you understand relational theory, but only if you know how to put the theory into practice. In this insightful book, author C.J. Date explains relational theory in depth, and demonstrates through numerous examples and exercises how you can apply it directly to your use of SQL. This second edition includes new material on recursive queries, “missing information” without nulls, new update operators, and topics such as aggregate operators, grouping and ungrouping, and view updating. If you have a modest-to-advanced background in SQL, you’ll learn how to deal with a host of common SQL dilemmas. Why is proper column naming so important? Nulls in your database are causing you to get wrong answers. Why? What can you do about it? Is it possible to write an SQL query to find employees who have never been in the same department for more than six months at a time? SQL supports “quantified comparisons,” but they’re better avoided. Why? How do you avoid them? Constraints are crucially important, but most SQL products don’t support them properly. What can you do to resolve this situation? Database theory and practice have evolved since the relational model was developed more than 40 years ago. SQL and Relational Theory draws on decades of research to present the most up-to-date treatment of SQL available. C.J. Date has a stature that is unique within the database industry. A prolific writer well known for the bestselling textbook An Introduction to Database Systems (Addison-Wesley), he has an exceptionally clear style when writing about complex principles and theory.

Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance. Database systems underlie the large majority of business information systems. Most of those in use today are based on the relational data model, a way of representing data and data relationships using only two-dimensional tables. This book covers relational database theory as well as providing a solid introduction to SQL, the international standard for the relational database data manipulation language. The book begins by reviewing basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL. Topics such as the relational data model, normalization, data entities, and Codd's Rules (and why they are important) are covered clearly and concisely. In addition, the book looks at the impact of big data on relational databases and the option of using NoSQL databases for that purpose. - Features updated and expanded coverage of SQL and new material on big data, cloud computing, and object-relational databases - Presents design approaches that ensure data accuracy and consistency and help boost performance - Includes three case studies, each illustrating a different database design challenge - Reviews the basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL

This textbook provides a hands-on approach to relational database design and database management within an Oracle context.

SQL in a Nutshell applies the eminently useful "Nutshell" format to Structured Query Language (SQL), the elegant--but complex--descriptive language that is used to create and manipulate large stores of data. For SQL programmers, analysts, and database administrators, the new second edition of SQL in a Nutshell is the essential date language reference for the world's top SQL database products. SQL in a Nutshell is a lean, focused, and thoroughly comprehensive reference for those who live in a deadline-driven world.This invaluable desktop quick reference drills down and documents every SQL command and how to use it in both commercial (Oracle, DB2, and Microsoft SQL Server) and open source implementations (PostgreSQL, and MySQL). It describes every command and reference and includes the command syntax (by vendor, if the syntax differs across implementations), a clear description, and practical examples that illustrate important concepts and uses. And it also explains how the leading commercial and open sources database product implement SQL. This wealth of information is packed into a succinct, comprehensive, and extraordinarily easy-to-use format that covers the SQL syntax of no less than 4 different databases.When you need fast, accurate, detailed, and up-to-date SQL information, SQL in a Nutshell, Second Edition will be the quick reference you'll reach for every time. SQL in a Nutshell is small enough to keep by your keyboard, and concise (as well as clearly organized) enough that you can look up the syntax you need quickly without having to wade through a lot of useless fluff. You won't want to work on a project involving SQL without it.

Learn everything you need to know to build efficient SQL queries using this easy-to-follow beginner’s guide Key FeaturesExplore all SQL statements in depth using a variety of examplesGet to grips with database querying, data aggregate, manipulation, and much moreUnderstand how to explore and process data of varying complexity to tell a storyBook Description SQL is a powerful querying language that's used to store, manipulate, and retrieve data, and it is one of the most popular languages used by developers to query and analyze data efficiently. If you're looking for a comprehensive introduction to SQL, Learn SQL Database Programming will help you to get up to speed with using SQL to streamline your work in no time. Starting with an overview of relational database management systems, this book will show you how to set up and use MySQL Workbench and design a database using practical examples. You'll also discover how to query and manipulate data with SQL programming using MySQL Workbench. As you advance, you’ll create a database, query single and multiple tables, and modify data using SQL querying. This SQL book covers advanced SQL techniques, including aggregate functions, flow control statements, error handling, and subqueries, and helps you process your data to present your findings. Finally, you’ll implement best practices for writing SQL and designing indexes and tables. By the end of this SQL programming book, you’ll have gained the confidence to use SQL queries to retrieve and manipulate data. What you will learnInstall, configure, and use MySQL Workbench to restore a databaseExplore different data types such as string, numeric, and date and timeQuery a single table using the basic SQL SELECT statement and the FROM, WHERE, and ORDER BY clausesQuery multiple tables by understanding various types of table relationshipsModify data in tables using the INSERT, UPDATE, and DELETE statementsUse aggregate functions to group and summarize dataDetect bad data, duplicates, and irrelevant values while processing dataWho this book is for This book is for business analysts, SQL developers, database administrators, and students learning SQL. If you want to learn how to query and manipulate SQL data for database administration tasks or simply extract and organize relevant data for analysis, you’ll find this book useful. No prior SQL experience is required.

This book introduces you to the field of relational database development and usage. There are many good books in this field. This book is different. It covers the basics so that beginners can read cover to cover. It is not a book for all levels of readers. For example, this book uses Microsoft SQL Server and Transact-SQL (or T-SQL). It will not mention the different dialect of Oracle or MySQL. If you are interested in Oracle or MySQL, you should use a different book. If you learned SQL Server from this book at your institution and you need to use other DBMS in your future job, the knowledge is only one Google away. This is not a reference book. For example, there are multiple ways to use aliases in T-SQL, but we only use one way. We believe that it is pretty easy to know different ways of using aliases once you finish this book. Why introduce all the different ways of using aliases for the first timer? This book is also unique with over 100 SQL examples and exercises. Most of these examples and exercises are paired. Readers learn one SQL example and can find a corresponding SQL exercise. We believe you have to write the codes in order to show you understood this book. You won't complete this book in 24 hours or 7 days. Even though the book is simple, by the end of the book, readers will be able to apply the knowledge learned to real world projects. We include one project with the detailed process of developing the database and the SQL examples of using the database. This book also includes three case studies readers can practice. This book uses a custom database which is simple with very limited data. The advantage of this approach is that you can manually find the solution before you write the SQL statement (Appendix 2 provides all data of the database). For example, if the question asks for the highest priced deliveries product, you can manually go to Appendix 2 of the book and find the product before you write the SQL statement. Please use Amazon's preview to take a look of the book before purchasing.

This invaluable learning tool provides an understanding of the industry-standard query language SQL. Using an appropriate mix of underlying mathematical formalism and hands-on activities with numerous examples, the book is designed to help users grasp the essential concepts of relational database query languages. The book provides a complete presentation of the relational data model, relational algebra, domain and tuple relational calculus and SQL, with case studies and Microsoft assess. For individuals in computer science, information services and industrial engineering interested in gaining an understanding of the foundations of industry SQL.

SQL: 1999 is the best way to make the leap from SQL-92 to SQL:1999, but it is much more than just a simple bridge between the two. The latest from celebrated SQL experts Jim Melton and Alan Simon, SQL:1999 is a comprehensive, eminently practical account of SQL's latest incarnation and a potent distillation of the details required to put it to work. Written to accommodate both novice and experienced SQL users, SQL:1999 focuses on the language's capabilities, from the basic to the advanced, and the ways that real applications take advantage of them. Throughout, the authors illustrate features and techniques with clear and often entertaining references to their own custom database. Gives authoritative coverage from an expert team that includes the editor of the SQL-92 and SQL:1999 standards. Provides a general introduction to SQL that helps you understand its constituent parts, history, and place in the realm of computer languages. Explains SQL:1999's more sophisticated features, including advanced value expressions, predicates, advanced SQL query expressions, and support for active databases. Explores key issues for programmers linking applications to SQL databases. Provides guidance on troubleshooting, internationalization, and changes anticipated in the next version of SQL. Contains appendices devoted to database design, a complete SQL:1999 example, the standardization process, and more.