Book Image

SQL Server on Linux

Book Image

SQL Server on Linux

Overview of this book

Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud. This book is your handy guide to setting up and implementing your SQL Server solution on the open source Linux platform. You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions. Then you will brush up your SQL Server skills by creating and querying database objects and implementing basic administration tasks to support business continuity, including security and performance optimization. This book will also take you beyond the basics and highlight some advanced topics such as in-memory OLTP and temporal tables. By the end of this book, you will be able to recognize and utilize the full potential of setting up an efficient SQL Server database solution in your Linux environment.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

SQL/T-SQL basics


In this part of the chapter, you will get an introduction about SQL language, or to be more precise, the Microsoft version T-SQL (Transact-SQL). Before we actually start to write code, we will cover some basics about language SQL and T-SQL syntax. This knowledge is applicable in all the chapters that will come later, especially in Chapter 4, Database in the Sandbox, and Chapter 5,  Sample Databases.

History of SQL/TSQL

During the seventies, the IBM research centre in San Jose, California created a research team named System R based on Edgar F. Codd's article A Relational Model of Data for Large Shared Data Banks. This later evolved into IBM System/38 in August of 1978. In 1986, the language SQL (Structured Query Language), became an ANSI standard and in 1987 it was accepted as an ISO standard. Today, almost 40 years later, SQL is de facto standard when we are talking about retrieving and data processing.

In order to successfully write queries against SQL Server databases, you...