Learning SQL, Second Edition O'Reilly Media, Inc. Learning SQL, the image of an Andean marsupial tree frog, and related trade ISBN: Contribute to multitudes/sql development by creating an account on GitHub. We appreciate, but do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example, “Learning SQL, Second Edition.
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Updated for the latest database management systems, this introductory guide will get you up and running with SQL quickly. Whether you need to write database. SQL (Structured Query Language) is a standard programming language for generating, manipulating, and retrieving information from a relational database. intermediate-level course on SQL, this is the one book that is a requirement, no SQL / John L. Viescas and Michael J. Hernandez. — 2nd ed. p. cm. ISBN ISBN Text printed in.
Some examples are Cobol, which is still used quite heavily in mainframe environments, and C, which is still quite popular for operating system and server development and for embedded systems. In the database arena, we have SQL, whose roots go all the way back to the s. SQL is the language for generating, manipulating, and retrieving data from a relational database.
One of the reasons for the popularity of relational databases is that properly designed relational databases can handle huge amounts of data. When working with large data sets, SQL is akin to one of those snazzy digital cameras with the high-power zoom lens in that you can use SQL to look at large sets of data, or you can zoom in on individual rows or anywhere in between. Other database management systems tend to break down under heavy loads because their focus is too narrow the zoom lens is stuck on maximum , which is why attempts to dethrone relational databases and SQL have largely failed.
Therefore, even though SQL is an old language, it is going to be around for a lot longer and has a bright future in store. Why Learn SQL? If you are going to work with a relational database, whether you are writing applications, performing administrative tasks, or generating reports, you will need to know how to interact with the data in your database.
Even if you are using a tool that generates SQL for you, such as a reporting tool, there may be times when you need to bypass the automatic generation feature and write your own SQL statements. Learning SQL has the added benefit of forcing you to confront and understand the data structures used to store information about your organization.
As you become comfortable with the tables in your database, you may find yourself proposing modifications or additions to your database schema. The SQL language is broken into several categories. Statements used to create database objects tables, indexes, constraints, etc. The statements used to create, manipulate, and retrieve the data stored in a database are known as the SQL data statements. If you are a programmer or report writer, you may only need to use or be allowed to use SQL data statements.
While this book demonstrates many of the SQL schema statements, the main focus of this book is on programming features. With only a handful of commands, the SQL data statements look deceptively simple.
In my opinion, many of the available SQL books help to foster this notion by only skimming the surface of what is possible with the language.
However, if you are going to work with SQL, it behooves you to understand fully the capabilities of the language and how different features can be combined to produce powerful results. While the examples in this book run on MySQL, Oracle Database, and SQL Server, I had to pick one of those products to host my sample database and to format the result sets returned by the example queries. Of the three, I chose MySQL because it is freely obtainable, easy to install, and simple to administer. For those readers using a different server, I ask that you download and install MySQL and load the sample database so that you can run the examples and experiment with the data.
Structure of This Book This book is divided into 15 chapters and 3 appendixes: Chapter 1, A Little Background, explores the history of computerized databases, including the rise of the relational model and the SQL language.
Chapter 2, Creating and Populating a Database, demonstrates how to create a MySQL database, create the tables used for the examples in this book, and populate the tables with data. I did this also on my Mac Mini. Also easy but you need to download the Workbench separately. Great book! Excellent read, and is intended for instruction. The gotcha's included with the book are great. I'm using it to help some coworkers learn SQL. So far so good! I bought this book a few months back realizing I need practice actually working with SQL, rather than just reading about it.
The great thing about this book is it helps you install a MySQL bank database on your computer. That took a bit of work to get done correctly. The step by step description of the SQL queries and the accompanying examples of results makes for a nice series of labs to get one familiar with the syntax of the language.
I've made it through about pages of the book so far and I've found the lessons challenging and instructive. The author gives you enough information, but not too much.
I recommend this book. But the title is Learning "SQL" so it still is a good book. Just pointing it out to potential downloaders that the examples are based on MySQL. The majority of SQL should work well in Oracle but make sure before you download the book. See all 65 reviews. site Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers.
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site Drive Cloud storage from site. Alexa Actionable Analytics for the Web. siteGlobal Ship Orders Internationally. site Inspire Digital Educational Resources. It is a must-read for understanding data warehouse design. Viescas, Douglas J. Steele and Ben J. Clothier For anyone with basic proficiency in writing structured query language, this industry-acclaimed learning SQL book from John L. Steele, and Ben J. Clothier offers an actionable means to take your skill set up a notch and apply your newfound knowledge to a host of real-world scenarios or situations.
SQL Antipatterns: Avoiding the Pitfalls of Database Programming is unique in that it focuses on common SQL programming errors, offering a clear-cut insight into avoiding such mishaps or correcting them should they occur.
Broken down into four practical chapters, this resource is perhaps the best way to learn SQL at a more advanced level. Covering all types, styles, and brands of SQL, this is a resource that stretches beyond the reaches of a manual alone. Instead, this invaluable guide provides a practical means of not only improving your performance in everyday situations but getting the very best from your database — or databases — over time.
Specializing in Microsoft SQL Server and Azure SQL, this platform-agnostic guide is well-balanced, easy to follow and serves up a host of challenges, and solutions, that will sharpen your skills while allowing you to look at your programming efforts through fresh eyes. Also, interactive online tools and platforms such as Codecademy and SQLZoo will allow you to develop and practice your programming skills in an engaging, practical setting — an excellent supplement to your book learning efforts.
Also, researching some of the business intelligence examples can provide a holistic overview of the value of utilizing the software for generating comprehensive business data. If this makes your development team a little nervous, you could always ask for a local copy of the database so you can play around, using it as a practice platform without making a real impact on your organization.
Getting your hands on genuine data that you can relate to is the most effective way to learn, and these best books on SQL will offer you the guidance you need for true practical success.
Now start reading! We wish you the best of luck.