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Home> Data> Database Programming> Learn SQL Database Programming
Learn SQL Database Programming
Learn SQL Database Programming

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

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Profile Icon Josephine Bush
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$43.99
Full star iconFull star iconFull star iconFull star iconHalf star icon4.2(6 Ratings)
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Learn SQL Database Programming

Understanding SQL

Structured Query Language, orSQL (pronouncedsee-quel), is the language that is used for querying and manipulating data and defining structures in databases. Initially developed at IBM in the early 1970s, SQL became an ANSI and ISO standard in 1986.

SQL is a powerful, yet simple language, and can do many things, such as execute queries, retrieve, insert, update, and delete data, create databases and tables, and much more.

These types of activities can be grouped into different subdivisions of SQL:Data Definition Language (DDL),Data Manipulation Language (DML), andData Control Language (DCL):

  • Use DDL commands to specify database schema:
  • CREATE: This is used to create a new database or objects in a database.
  • ALTER: This is used to alter a database or objects in a database.
  • DROP: This is used to delete a database or objects in a database.
  • TRUNCATE: This is...

Summary

This chapter introduced the concepts required to understand the basics of relational database management systems. It introduced you to foundational topics such as understanding SQL, what SQL can do, and its basic components. You learned that there are three subdivisions of SQL called DML, DDL, and DCL, and that the SQL language is comprised of several elements that make up a statement. We walked through a description of the relational model, what a database is, and what is in a database, including what a table, row, column, and field are.

We followed with an explanation of data integrity, including the different types of data integrity, such as entity, referential, and domain integrity, and looked at how to use keys and constraints. This understanding of data integrity helped you understand database normalization, including the different forms of normalization, 1NF, 2NF...

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Key benefits

  • 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

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.

Who is this book 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.

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
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Table of Contents

23 Chapters
Section 1: Database FundamentalsChevron down iconChevron up icon
Section 1: Database Fundamentals
Introduction to Relational Database Management SystemsChevron down iconChevron up icon
Introduction to Relational Database Management Systems
Understanding SQL
Understanding databases
Understanding data integrity
Database normalization
Types of RDMS
Summary
Questions
Installing and Using MySQL WorkbenchChevron down iconChevron up icon
Installing and Using MySQL Workbench
Technical requirements
Installing MySQL Workbench
Using MySQL Workbench
Restoring a database
Summary
Questions
Understanding Data TypesChevron down iconChevron up icon
Understanding Data Types
Understanding string data types
Understanding numeric data types
Understanding date and time data types
Understanding other data types
Choosing the right data type
Summary
Questions
Designing and Creating a DatabaseChevron down iconChevron up icon
Designing and Creating a Database
Technical requirements
Creating a database
Understanding table relationships
Creating a table in the database
Understanding indexes
Summary
Further reading
Questions
Importing and Exporting DataChevron down iconChevron up icon
Importing and Exporting Data
Technical requirements
Understanding table data import and export
Understanding SQL data import and export
Understanding result data export
Understanding SQL syntax for importing and exporting data
Summary
Further reading
Questions
Section 2: Basic SQL QueryingChevron down iconChevron up icon
Section 2: Basic SQL Querying
Querying a Single TableChevron down iconChevron up icon
Querying a Single Table
Technical requirements
Using the SELECT statement and FROM clause
Using the WHERE clause
Using the ORDER BY clause
Using indexes with your queries
Summary
Questions
Further reading
Querying Multiple TablesChevron down iconChevron up icon
Querying Multiple Tables
Technical requirements
Understanding joins
Using INNER JOIN
Using OUTER JOIN
Using advanced joins
Understanding set theory
Using indexes with your queries
Summary
Questions
Further reading
Modifying Data and Table StructuresChevron down iconChevron up icon
Modifying Data and Table Structures
Technical requirements
Inserting data into tables
Deleting data from tables
Updating data in tables
Using transactions to save or revert changes
Modifying the table structure
Summary
Questions
Further reading
Section 3: Advanced SQL QueryingChevron down iconChevron up icon
Section 3: Advanced SQL Querying
Working with ExpressionsChevron down iconChevron up icon
Working with Expressions
Technical requirements
Using expressions
Using statistical functions
Using generated columns
Summary
Questions
Further reading
Grouping and Summarizing DataChevron down iconChevron up icon
Grouping and Summarizing Data
Technical requirements
Understanding aggregate functions
Using the GROUP BY clause
Using the HAVING clause
Understanding SQL query order of execution
Summary
Questions
Advanced Querying TechniquesChevron down iconChevron up icon
Advanced Querying Techniques
Technical requirements
Using subqueries
Using common table expressions
Using query hints and transaction isolation levels
Summary
Questions
Further reading
Programmable ObjectsChevron down iconChevron up icon
Programmable Objects
Technical requirements
Creating and using views
Creating and using variables
Creating and using stored procedures
Creating and using functions
Creating and using triggers
Creating and using temporary tables
Summary
Questions
Further reading
Section 4: Presenting Your FindingsChevron down iconChevron up icon
Section 4: Presenting Your Findings
Exploring and Processing Your DataChevron down iconChevron up icon
Exploring and Processing Your Data
Technical requirements
Exploring your dataset
Processing your dataset
Summary
Questions
Telling a Story with Your DataChevron down iconChevron up icon
Telling a Story with Your Data
Technical requirements
Finding a narrative
Knowing your audience
Determining a presentation framework
Using visualizations
Summary
Questions
Section 5: SQL Best PracticesChevron down iconChevron up icon
Section 5: SQL Best Practices
Best Practices for Designing and QueryingChevron down iconChevron up icon
Best Practices for Designing and Querying
Technical requirements
Best practices for database design
Best practices for indexing
Best practices for querying and modifying data
Summary
Questions
SQL AppendixChevron down iconChevron up icon
SQL Appendix
SQL for designing databases
SQL for selecting data
SQL for modifying data
SQL expressions
Advanced query techniques
Programmable objects
Summary
AssessmentsChevron down iconChevron up icon
Assessments
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 14
Chapter 15
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Customer reviews

Top Reviews
Rating distribution
Full star iconFull star iconFull star iconFull star iconHalf star icon4.2
(6 Ratings)
5 star66.7%
4 star0%
3 star16.7%
2 star16.7%
1 star0%
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Top Reviews

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AlanSep 13, 2023
Full star iconFull star iconFull star iconFull star iconFull star icon5
I studied relational database systems and SQL many years ago at post graduate level and needed to brush up on the subject. This book was exactly what I was looking for. The author is straight to the point and gives good examples. I enjoyed the book.
Subscriber reviewPackt
Matthew McDowellNov 23, 2020
Full star iconFull star iconFull star iconFull star iconFull star icon5
Perfect beginner reference, the author has done a fantastic job! Easy to understand and a practical guide that can show you beginning steps to query a database as well as more advanced means off accessing and manipulating data. The book even goes into more advanced techniques for someone interested in database administration. This book goes over best practices in a clear manner with plenty of examples. As someone who works with relational databases on a daily basis, this book has helped me understand the fundamentals of what I knew how to do and has helped elevate the way I write queries. There is plenty left for me to learn and this book will continue to remain an invaluable tool!
Amazon Verified reviewAmazon
Bladwell Martinez CostasJun 06, 2022
Full star iconFull star iconFull star iconFull star iconFull star icon5
Me agrado mucho este articulo.
Amazon Verified reviewAmazon
VanessaFeb 13, 2021
Full star iconFull star iconFull star iconFull star iconFull star icon5
This book is very well-written and shows step by step how to manipulate data in SQL. It is written in an easy to read fashion, that helps the reader have an understanding of each query. There are many examples throughout to help show the process for a clear understanding of the fundamentals. There are also more advanced techniques shown, so the book isn't just for beginners either.
Amazon Verified reviewAmazon
Just Some GuyJan 15, 2022
Full star iconFull star iconFull star iconEmpty star iconEmpty star icon3
This isn't a bad book - it's actually pretty good. It's just not what the title claims. This book is good a good buy for 1 of these 2 use cases:1) You're brand new to using a real database (Excel and Access don't count), and you want a high-level introduction to using MySQL and writing SQL queries, etc.2) You're quite good with SQL and databases already, and you just want a reference on your desk you can flip open to check the syntax on part of your query, or similar reference-type needs.Besides that, I think this book is a miss. It's covers a lot of ground, but it moves really fast, and barely anything goes into much depth. As a result, if you're new to SQL then you won't actually *learn* much here (there are too few examples, and they never go into much depth) – but if you're a pro this is all pretty obvious, so you won't learn anything new.My main other complaint about this book is that for a book with "Programming" in the title, it barely meets that standard at all. Besides a quick pass on functions and stored procedures (which do involve programming via SQL), almost everything this book does is via the MySQL Workbench tool. Now, that's great if learning Workbench is your goal - but if you want to manage your database via APIs, or do anything programmatic whatsoever (via a language like Python, Java, etc.), this book has ZERO on ANY of that. The work "Programming" has no place in the title of this book.Two other minor complaints:1) There are some sloppy typos and technical errors that should have been caught by the editors - and that happened a couple times too many for me to ignore.2) The book really feels like the author was trying to pad the page count. There are a TON of screenshots (again, mostly of MySQL Workbench). While I usually like those, for reference, they were larger and more frequent than necessary. There are also pages of content that get very repetitive - like, the author would often repeat the same exact paragraph multiple times when explaining a list of things that were mostly the same, but had only slight differences. (for example, a full paragraph explaining an example with a logical TRUE/IN/= use case, and then the exact same paragraph repeated again but with just a couple words changed to explain the respective FALSE/NOT IN/!= use case). Pages of text could have been saved by using a more compact writing approach.All that said, this is a pretty good book for the 2 needs I mentioned at the top of this review. If that's you, buy it and make the most of it. But anyone wanting to really learn how to "program SQL" will need to read a few other books, too. Now you know.
Amazon Verified reviewAmazon
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About the author

Profile icon Josephine Bush
Josephine Bush
Josephine Bush has over 10 years 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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Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela

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