Details

<p>Get started on mastering the one language binding the entire database industry. That language is SQL, and how it works is must-have knowledge for anyone involved with relational databases, and surprisingly also for anyone involved with NoSQL databases. SQL is universally used in querying and reporting on large data sets in order to generate knowledge to drive business decisions.</p><p>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. Every relational database supports SQL for its expressiveness in writing queries underlying reports and business intelligence dashboards. Knowing how to write good queries is the foundation for all work done in SQL, and it is a foundation that Clare Churcher's book, <i><b>Beginning SQL Queries</b></i>, 2nd Edition, lays well.</p><div><br></div><ul> </ul><div><b>What You Will Learn</b></div><div><div><ul><li>Write simple queries to extract datafrom a single table<br></li><li>Combine data from many tables into one business result using set operations<br></li><li>Translate natural language questions into database queries providing meaningful information to the business<br></li><li>Avoid errors associated with duplicated and null values<br></li><li>Summarize data with amazing ease using the newly-added feature of window functions<br></li><li>Tackle tricky queries with confidence that you are generating correct results<br></li><li>Investigate and understand the effects of indexes on the efficiency of queries<br></li></ul></div><div><b>Who This Book Is For</b><br></div></div><div><br></div><div><b>Beginning SQL Queries, 2nd Edition</b> 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 reportingsoftware 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.<br></div><div><br></div>