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Querying Data from MariaDB

Pinal Dave

In this course, you’ll focus on developing the skills needed to work with complex business logic using Data Query Language (DQL) in MariaDB.

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In this course, you’ll focus on developing the skills needed to work with complex business logic using Data Query Language (DQL) in MariaDB.

Querying meaningful data is the primary task for any relational engine, and MariaDB is one of the most sophisticated relational databases in the RDBMS world. In this course, Querying Data from MariaDB, you’ll gain the ability to work with complex business logic using Data Query Language (DQL) in MariaDB. First, you'll learn how to retrieve specific column data from a table using the SELECT statement. Next, you’ll discover how to retrieve specific rows of data from a table using various keywords in the WHERE clause. Finally, you’ll explore how to use advanced search and pattern matching using the LIKE keyword. When you’re finished with this course, you’ll have the skills and knowledge of various elements of the data query language of MariaDB to bring meaningful results from your database. Software required: MariaDB

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What's inside

Syllabus

Course Overview
Understanding Data Query Language (DQL)
Retrieve Specific Column Data from Table
Retrieve Specific Row Data from Table
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Summary

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills used to query complex business data, which is a core competency for database management
Suitable for learners curious about Data Query Language (DQL) in MariaDB
Provides a solid foundation in Data Query Language (DQL) for beginners
Builds a foundation for understanding Data Query Language (DQL) in MariaDB
Requires students to use their own MariaDB software

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Querying Data from MariaDB with these activities:
Review SQL basics
Refreshes knowledge of SQL basics, strengthening the foundation for learning more advanced concepts in the course.
Show steps
  • Review the concepts of tables, columns, and rows.
  • Practice writing simple SELECT statements.
  • Revise the use of operators and functions in SQL.
Review the basics of relational databases
Reviewing the fundamentals of relational databases will help you build a solid foundation for learning Data Query Language (DQL) in MariaDB.
Browse courses on Relational Databases
Show steps
  • Revisit the concepts of tables, rows, and columns.
  • Review the different data types used in relational databases.
  • Practice writing simple SQL queries to retrieve data from tables.
Organize and review course notes
Strengthens memory and reinforces understanding by organizing and reviewing the materials covered in the course.
Show steps
  • Gather and organize notes, assignments, quizzes, and exams.
  • Review the materials to identify key concepts and areas for improvement.
  • Create summaries or concept maps to enhance understanding.
19 other activities
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Show all 22 activities
Follow a tutorial on advanced data querying techniques in MariaDB
Follow a tutorial to learn advanced data querying techniques in MariaDB.
Browse courses on Data Query Language (DQL)
Show steps
  • Find a tutorial on advanced data querying techniques in MariaDB.
  • Follow the steps outlined in the tutorial.
  • Practice the techniques on your own.
Follow MariaDB Tutorials
Complete guided tutorials from MariaDB to enhance your DQL skills in a structured manner.
Browse courses on MariaDB
Show steps
  • Identify relevant tutorials on the MariaDB website.
  • Follow the tutorials step-by-step.
  • Practice the queries and concepts presented in the tutorials.
Create a cheat sheet of DQL syntax
Creating a cheat sheet of DQL syntax will help you quickly reference the syntax you need when writing queries.
Browse courses on Data Query Language
Show steps
  • Gather the DQL syntax you need.
  • Organize the syntax into a cheat sheet.
  • Review the cheat sheet regularly.
Practice retrieving specific columns of data using the SELECT statement
Practice using the SELECT statement to retrieve specific columns of data from a table.
Browse courses on Data Query Language (DQL)
Show steps
  • Create a table with sample data.
  • Write a SELECT statement to retrieve specific columns of data from the table.
  • Execute the SELECT statement and verify the results.
Participate in peer review sessions
Fosters collaboration and allows learners to provide and receive feedback, enhancing understanding and critical thinking.
Browse courses on Peer Review
Show steps
  • Join or create a peer review group.
  • Share work with the group and provide feedback to others.
  • Incorporate feedback received to improve own work.
SQL Queries on Sample Tables
Run basic SQL queries on sample tables to reinforce your understanding of DQL syntax.
Show steps
  • Create a table with sample data.
  • Write a query to retrieve specific columns from the table.
  • Write a query to retrieve specific rows from the table.
  • Use the LIKE keyword for advanced search and pattern matching.
Follow tutorials on writing DQL queries in MariaDB
Following tutorials will provide you with hands-on experience in writing DQL queries and help you understand how to use the various clauses and operators.
Show steps
  • Find tutorials that cover the specific DQL topics you are interested in.
  • Follow the steps in the tutorials to write your own DQL queries.
  • Test your queries on sample data to verify that they return the expected results.
Practice retrieving specific rows of data using the WHERE clause
Practice using the WHERE clause to retrieve specific rows of data from a table.
Browse courses on Data Query Language (DQL)
Show steps
  • Create a table with sample data.
  • Write a SELECT statement with a WHERE clause to retrieve specific rows of data from the table.
  • Execute the SELECT statement and verify the results.
Practice writing DQL queries
Writing DQL queries repeatedly will help you solidify your understanding of the syntax and structure of DQL queries.
Browse courses on Data Query Language
Show steps
  • Choose a dataset to practice on.
  • Write queries to retrieve specific columns and rows of data.
  • Test your queries and troubleshoot any errors.
Practice using the LIKE keyword for advanced search and pattern matching
Practice using the LIKE keyword for advanced search and pattern matching.
Browse courses on Data Query Language (DQL)
Show steps
  • Create a table with sample data.
  • Write a SELECT statement with a LIKE clause to perform advanced search and pattern matching.
  • Execute the SELECT statement and verify the results.
Write a blog post about a data querying challenge you encountered and how you solved it
Write a blog post about a data querying challenge you encountered and how you solved it.
Browse courses on Data Query Language (DQL)
Show steps
  • Identify a data querying challenge you encountered.
  • Explain the steps you took to solve the challenge.
  • Write a blog post about your experience.
Follow tutorials on advanced DQL techniques
Going through tutorials on advanced DQL techniques will expose you to more complex queries and scenarios, broadening your understanding of DQL.
Browse courses on Advanced SQL
Show steps
  • Find tutorials on advanced DQL techniques.
  • Follow the tutorials step-by-step.
  • Try out the techniques you learn on your own dataset.
Solve practice problems on DQL queries
Solving practice problems will help you improve your problem-solving skills and your ability to write efficient and effective DQL queries.
Show steps
  • Find practice problems that cover a variety of DQL topics.
  • Attempt to solve the problems on your own.
  • Check your solutions against the provided answer key.
Create a data visualization that represents the results of a complex data query
Create a data visualization that represents the results of a complex data query.
Browse courses on Data Visualization
Show steps
  • Write a complex data query to retrieve the desired data.
  • Choose a data visualization tool.
  • Create a data visualization that represents the results of the query.
Follow SQL tutorials on specific topics
Expands knowledge beyond the scope of the course, allowing for deeper understanding and exploration of advanced SQL concepts.
Browse courses on Advanced SQL
Show steps
  • Identify specific SQL topics to focus on.
  • Search for and select reputable SQL tutorials on those topics.
  • Follow the tutorials, take notes, and practice the concepts.
Participate in a DQL query competition
Participating in a competition will challenge you to solve complex DQL problems and improve your skills in a competitive environment.
Show steps
  • Find a DQL query competition that aligns with your interests.
  • Register for the competition and study the rules and guidelines.
  • Practice solving DQL problems and develop your strategies.
Develop a data visualization project
Applies the knowledge gained in the course to a practical project, solidifying understanding and showcasing the ability to work with complex data.
Browse courses on Data Visualization
Show steps
  • Choose a dataset relevant to the course content.
  • Design and create visualizations to represent the data effectively.
  • Analyze the visualizations and draw meaningful conclusions.
  • Present the project, explaining the rationale and insights gained.
Develop a data visualization dashboard using DQL
Creating a data visualization dashboard will help you apply your DQL skills to a practical problem and gain experience in presenting data insights.
Show steps
  • Identify a dataset that you want to visualize.
  • Write DQL queries to extract the data you need from the database.
  • Use a data visualization tool to create interactive charts and graphs.
Contribute to an open-source DQL project
Contributing to an open-source project will allow you to collaborate with other developers and learn from their experiences.
Show steps
  • Find an open-source DQL project that you are interested in.
  • Review the project's documentation and codebase.
  • Identify an area where you can contribute your skills.

Career center

Learners who complete Querying Data from MariaDB will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database Administrators maintain and optimize databases, which includes writing and executing queries to retrieve data. This course, Querying Data from MariaDB, can help you develop the skills necessary to succeed in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table using various keywords in the WHERE clause. This course also covers advanced search and pattern matching using the LIKE keyword. These skills are essential for Database Administrators who need to be able to efficiently retrieve data from databases.
See salaries and explore the career path for Database Administrator
Data Analyst
Data Analysts use their data querying and manipulation skills to retrieve and interpret data from various sources. This course, Querying Data from MariaDB, can help you develop the skills necessary to succeed in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills are essential for Data Analysts who need to be able to extract meaningful insights from data.
See salaries and explore the career path for Data Analyst
Business Analyst
Business Analysts use their data querying and manipulation skills to analyze business data and make recommendations. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Business Analysts who need to be able to extract meaningful insights from data.
See salaries and explore the career path for Business Analyst
Data Scientist
Data Scientists use their data querying and manipulation skills to build models and make predictions. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Data Scientists who need to be able to extract meaningful insights from data.
See salaries and explore the career path for Data Scientist
Information Architect
Information Architects design and manage data systems. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Information Architects who need to be able to understand and query data in order to design and manage data systems.
See salaries and explore the career path for Information Architect
Software Engineer
Software Engineers use their data querying and manipulation skills to develop and maintain software applications. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Software Engineers who need to be able to access and manipulate data in their applications.
See salaries and explore the career path for Software Engineer
Data Engineer
Data Engineers use their data querying and manipulation skills to build and maintain data pipelines. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Data Engineers who need to be able to extract and transform data for analysis.
See salaries and explore the career path for Data Engineer
Data Quality Analyst
Data Quality Analysts ensure that data is accurate, complete, and consistent. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Data Quality Analysts who need to be able to access and analyze data in order to ensure its quality.
See salaries and explore the career path for Data Quality Analyst
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Data Governance Analysts who need to be able to access and analyze data in order to develop and implement data governance policies and procedures.
See salaries and explore the career path for Data Governance Analyst
Data Security Analyst
Data Security Analysts develop and implement data security policies and procedures. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Data Security Analysts who need to be able to access and analyze data in order to develop and implement data security policies and procedures.
See salaries and explore the career path for Data Security Analyst
Data Warehouse Manager
Data Warehouse Managers manage data warehouses, which are used to store and analyze large amounts of data. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Data Warehouse Managers who need to be able to access and analyze data in their warehouses.
See salaries and explore the career path for Data Warehouse Manager
Data Integration Specialist
Data Integration Specialists integrate data from multiple sources into a single, cohesive data set. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Data Integration Specialists who need to be able to access and integrate data from multiple sources.
See salaries and explore the career path for Data Integration Specialist
Data Privacy Analyst
Data Privacy Analysts develop and implement data privacy policies and procedures. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Data Privacy Analysts who need to be able to access and analyze data in order to develop and implement data privacy policies and procedures.
See salaries and explore the career path for Data Privacy Analyst
Database Designer
Database Designers design and develop databases. This course, Querying Data from MariaDB, may be useful to you in this role by teaching you how to use Data Query Language (DQL) in MariaDB to retrieve specific column and row data from a table. This course also covers advanced search and pattern matching using the LIKE keyword. These skills can be helpful for Database Designers who need to be able to understand and query data in order to design and develop databases.
See salaries and explore the career path for Database Designer

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Querying Data from MariaDB.
Cover image
Building REST APIs with Flask
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The MySQL Reference Manual comprehensive resource for all things MySQL, including data querying. It can be used as a reference guide or as a supplement to the course materials.
Building REST APIs with Flask: Create Python Web...
Paperback
$$
Building REST APIs with Flask: Create Python Web...
Kindle Edition
$$$
Cover image
High Performance MySQL
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Provides a deep dive into MySQL performance optimization, including tips and techniques for optimizing data queries.
High Performance MySQL: Optimization, Backups, and...
Paperback
$$
High Performance MySQL: Optimization, Backups,...
Paperback
$$
(中文) High Performance MySQL ( 3rd Edition ) (MySQL...
Paperback
$$
Cover image
Database Internals
Save
Provides a deep dive into the internals of relational database management systems, including the MariaDB storage engine. It can be used to gain a better understanding of how data is stored and queried in MariaDB.
Database Internals: A Deep Dive into How...
Paperback
$$
Database Internals: A Deep Dive into How...
Kindle Edition
$$
Cover image
Learning MySQL and MariaDB
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Provides a comprehensive introduction to MariaDB, including data querying. It can be used as a supplement to the course materials or as a standalone resource.
Learning MySQL and MariaDB: Heading in the Right...
Kindle Edition
$$
Learning MySQL and MariaDB: Heading in the Right...
Unknown Binding
$$$
Cover image
Access Cookbook
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Provides a comprehensive introduction to SQL, including data querying. It can be used as a supplement to the course materials or as a standalone resource.
Access Cookbook: Solutions to Common User Interface...
Paperback
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Access Cookbook: Solutions to Common User Interface...
Kindle Edition
$$
Cover image
SQL Cookbook
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Provides a collection of recipes for solving common database problems, including data querying. It is written in a clear and concise style, making it a great choice for beginners.
SQL Cookbook: Query Solutions and Techniques for...
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SQL Cookbook: Query Solutions and Techniques for...
Kindle Edition
$$
Cover image
Database Design for Mere Mortals
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Is written in a clear and concise style, making it a great choice for beginners. It covers the basics of data querying in MariaDB.
Database Design for Mere Mortals: A Hands-On Guide...
Paperback
$$
Cover image
Practical SQL, 2nd Edition
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Provides a practical guide to SQL, including data querying. It is written in a clear and concise style, making it a great choice for beginners.
Practical SQL, 2nd Edition: A Beginner's Guide to...
Paperback
$$
Practical SQL, 2nd Edition: A Beginner's Guide to...
Kindle Edition
$$
Cover image
SQL in a Nutshell
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Provides a concise overview of SQL, including data querying. It can be used as a quick reference guide or as a supplement to the course materials.
SQL in a Nutshell
Kindle Edition
$$
Cover image
SQL Pocket Guide
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Provides a concise reference guide to SQL, including data querying. It can be used as a quick reference guide or as a supplement to the course materials.
SQL Pocket Guide: A Guide to SQL Usage
Paperback
$$
SQL Pocket Guide
Kindle Edition
$$
Cover image
Database Modeling and Design
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Provides a very basic introduction to SQL, including data querying. It is written in a clear and concise style, making it a great choice for complete beginners.
Database Modeling and Design: Logical Design (The...
Paperback
$$
Database Modeling and Design: Logical Design (The...
Kindle Edition
$$$

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Course image
Time
59 hours
Level
Introductory
Via
Pluralsight
Instructor
Pinal Dave
Language
English
This course belongs to a collection called Querying Data with SQL in MariaDB. It's comprised of five courses:
  1. Querying Data from MariaDB (viewing)
  2. Combining and Filtering Data with MariaDB
  3. MariaDB Data Manipulation Playbook
  4. Capturing Logic with Stored Procedures in MariaDB
  5. MariaDB Functions Playbook
Good to know
Develops skills used to query complex business data, which is a core competency for database management
Suitable for learners curious about Data Query Language (DQL) in MariaDB
Provides a solid foundation in Data Query Language (DQL) for beginners
Builds a foundation for understanding Data Query Language (DQL) in MariaDB
Requires students to use their own MariaDB software
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