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SQL QuickStart Guide

The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL

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SQL QuickStart Guide

Auteur(s): Walter Shields
Narrateur(s): Russell Newton
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The ultimate beginner's guide to learning SQL - from retrieving data to creating databases!

Structured query language, or SQL (pronounced "sequel" by many), is the most widely used programming language in database management and is the standard language for relational database management systems (RDBMS). SQL programming allows users to return, analyze, create, manage, and delete data within a database - all within a few commands.

With more industries and organizations looking to the power of data, the need for an efficient, scalable solution for data management is required. More often than not, organizations implement a relational database management system in one form or another. These systems create long-term data "warehouses" that can be easily accessed to return and analyze results, such as, "Show me all of the clients from Canada that have purchased more than $20,000 in the last three years." This "query", which would have taken an extensive amount of hands-on research to complete prior to the use of a database, can now be determined in seconds by executing a simple "SELECT SQL" statement on a database.

SQL can seem daunting to those with little to zero programming knowledge and can even pose a challenge to those who have experience with other languages. Most resources jump right into the technical jargon and are not suited for someone to really grasp how SQL actually works. That's why we created this book. Our goal here is simple: to show you exactly everything you need to know to utilize SQL in whatever capacity you may need in simple, easy-to-follow concepts. Our book provides multiple step-by-step examples of how to master these SQL concepts to ensure you know what you're doing and why you're doing it every step of the way.

©2015 ClydeBank Media LLC (P)2015 ClydeBank Media LLC
Programmation et développement de logiciels Science des données Technologie Apprentissage automatique Programmation Gestion Développement de logiciels Logiciel Informatique
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