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Learn SQL Database Programming: Query and manipulate databases from popular relational database servers using SQL

Learn SQL Database Programming: Query and manipulate databases from popular relational database servers using SQL


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About the Book

Learn everything you need to know to build efficient SQL queries using this easy-to-follow beginner’s guide

Key Features
  • Explore all SQL statements in depth using a variety of examples
  • Get to grips with database querying, data aggregate, manipulation, and much more
  • Understand how to explore and process data of varying complexity to tell a story
Book Description

SQL is a powerful querying language that's used to store, manipulate, and retrieve data, and it is one of the most popular languages used by developers to query and analyze data efficiently.

If you're looking for a comprehensive introduction to SQL, Learn SQL Database Programming will help you to get up to speed with using SQL to streamline your work in no time. Starting with an overview of relational database management systems, this book will show you how to set up and use MySQL Workbench and design a database using practical examples. You'll also discover how to query and manipulate data with SQL programming using MySQL Workbench. As you advance, you’ll create a database, query single and multiple tables, and modify data using SQL querying. This SQL book covers advanced SQL techniques, including aggregate functions, flow control statements, error handling, and subqueries, and helps you process your data to present your findings. Finally, you’ll implement best practices for writing SQL and designing indexes and tables.

By the end of this SQL programming book, you’ll have gained the confidence to use SQL queries to retrieve and manipulate data.

What you will learn
  • Install, configure, and use MySQL Workbench to restore a database
  • Explore different data types such as string, numeric, and date and time
  • Query a single table using the basic SQL SELECT statement and the FROM, WHERE, and ORDER BY clauses
  • Query multiple tables by understanding various types of table relationships
  • Modify data in tables using the INSERT, UPDATE, and DELETE statements
  • Use aggregate functions to group and summarize data
  • Detect bad data, duplicates, and irrelevant values while processing data
Who this book is for

This book is for business analysts, SQL developers, database administrators, and students learning SQL. If you want to learn how to query and manipulate SQL data for database administration tasks or simply extract and organize relevant data for analysis, you’ll find this book useful. No prior SQL experience is required.



Table of Contents:
Table of Contents
  1. Introduction to Relational Database Management Systems
  2. Installing and Using MySQL Workbench
  3. Understanding Data Types
  4. Designing and Creating a Database
  5. Importing and Exporting Data
  6. Querying a Single Table
  7. Querying Multiple Tables
  8. Modifying Data and Table Structures
  9. Working with Expressions
  10. Grouping and Summarizing Data
  11. Advanced Querying Techniques
  12. Programmable Objects
  13. Exploring and Processing Your Data
  14. Tell a Story with Your Data
  15. Best Practices for Design and Querying
  16. SQL Appendix


About the Author :
Josephine Bush has over 10 years of experience as a Database Administrator. Her experience is extensive and broad-based, including in financial, business, and energy data systems using MySQL, SQL Server, Oracle, and PostgreSQL. She is a Microsoft Certified Solutions Expert: Data Management and Analytics. She holds a BS in Information Technology, an MBA in IT Management, and an MS in Data Analytics


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Product Details
  • ISBN-13: 9781838984762
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Height: 93 mm
  • No of Pages: 564
  • Returnable: N
  • Width: 75 mm
  • ISBN-10: 1838984763
  • Publisher Date: 29 May 2020
  • Binding: Paperback
  • Language: English
  • No of Pages: 564
  • Sub Title: Query and manipulate databases from popular relational database servers using SQL


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