Beginning SQL Queries : from novice to professional ; [a thoughtful approach to learning SQL that helps you think about the language - and about your data - so that you can apply the right operations to the right problem to generate the right results, eve

Clare Churcher ’s Beginning SQL Queries is your guide to mastering the lingua franca of the database industry: the SQL language. Good knowledge of SQL is crucial to anyone working with databases, because it is with SQL that you retrieve data, manipulate data, and generate business results. Knowing how to write good queries is the foundation for all work done in SQL, and it is a foundation that Clare lays well in her book. Does not bore with syntax! Helps you learn the underlying concepts involved in querying a database, and from there the syntax is easy Provides exceptionally clear examples and explanations Is academically sound while being practical and approachable What you’ll learn Write simple queries to extract data from a single table Understand relational algebra and calculus and why they are important Combine data from many tables into one business result Avoid pitfalls and traps such as Cartesian products and difficulties with null values Summarize large amounts of data for reporting purposes Apply set theory to the problems of manipulating data and generating reports Who this book is for Beginning SQL Queries is aimed at intelligent laypeople who need to extract information from a database, and at developers and other IT professionals who are new to SQL. The book is especially useful for business intelligence analysts who must ask more complex questions of their database than their GUI–based reporting software supports. Such people might be business owners wanting to target specific customers, scientists and students needing to extract subsets of their research data, or end users wanting to make the best use of databases for their clubs and societies. Clare Churcher 's Beginning SQL Queries is your guide to mastering the lingua franca of the database the SQL language. Good knowledge of SQL is crucial to anyone working with databases, because it is with SQL that you retrieve data, manipulate data, and generate business results. Knowing how to write good queries is the foundation for all work done in SQL, and it is a foundation that Clare lays well in her book. Beginning SQL Queries is aimed at intelligent laypeople who need to extract information from a database, and at developers and other IT professionals who are new to SQL. The book is especially useful for business intelligence analysts who must ask more complex questions of their database than their GUI-based reporting software supports. Such people might be business owners wanting to target specific customers, scientists and students needing to extract subsets of their research data, or end users wanting to make the best use of databases for their clubs and societies. Beginning Queries with SQL is a friendly and easily read guide to writing queries with the all-important — in the database world — SQL language. Anyone who does any work at all with databases needs to know something of SQL, and that is evidenced by the strong sales of such books as Learning SQL (O'Reilly) and SQL Queries for Mere Mortals (Pearson). Beginning Queries with SQL is written by the author of Beginning Database Design, an author who is garnering great reviews on Amazon due to the clarity and succinctness of her writing. Beginning with a comprehensive review of relational databases, a complete guide to writing SQL queries takes novice users step by step through the principles and techniques of simple queries, joins, nested queries, set operations, and other essentials. Original. (Beginner) Anyone who does any work at all with databases needs to know something of SQL. This is a friendly and easy-to-read guide to writing queries with the all-important - in the database world - SQL language. The author writes with exceptional clarity. "This book is a thoughtful approach to learning SQL that helps you think about the language - and about your data - so that you can apply the right operations to the right problem to generate the right results, every time."--Jacket