Querying Mariadb
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Querying MariaDB
Employ analytics in relational databases to advance your career KEY FEATURES ● Use of multiple MariaDB datasets to gain hands-on experience with data analysis principles. ● Extensive examples take the reader through all levels of SQL skill, from novice to expert. ● Includes methods and techniques for doing complex database queries in MariaDB. DESCRIPTION This book will take you on an engaging experience to understand SQL querying from the most basic to the most expert level, using various SQL techniques to extract valuable insights from your MariaDB databases. The adventure will begin with the most basic level and end with the most professional level. This book's first section provides an introduction to the fundamental concepts of both SQL and MariaDB. It then guides users through building queries using simple and then more complex table joins and progressively more powerful data filtering to generate advanced queries utilizing various SQL techniques. The reader will understand MariaDB database analysis better by learning the basics of SQL computation, relational logic, and data grouping and aggregation. Also covered are SQL basics like formatting queries, making subqueries, making derived tables, joining and filtering tables, etc. In addition, the book explains how to conduct rolling analysis, investigate time-series data, and manage enormous and complex MariaDB datasets. When readers have finished the book, they can devise their techniques for analyzing relational MariaDB datasets and acquiring the necessary insights. WHAT YOU WILL LEARN ● Examine SQL principles such as table joins, data filtering, query design, and table derivation. ● Make it simpler to manipulate data that is dispersed across multiple tables. ● Use basic math and logic, multiple filters, and data aggregation to look at the data. ● Learn to use table expressions, subqueries, and complex calculations well. ● Utilize sophisticated techniques for rolling analysis and time series analysis. WHO THIS BOOK IS FOR This book is for MariaDB users and data professionals, including database developers, SQL developers, data analysts, and BI specialists, who wish to design complicated queries and extract the needed insights from their datasets. TABLE OF CONTENTS 1. Writing Basic SQL Queries 2. Using Multiple Tables When Querying Data 3. Using Advanced Table Joins 4. Filtering Data 5. Applying Complex Filters to Queries 6. Making Simple Calculations 7. Aggregating Output 8. Working with Dates in MariaDB 9. Formatting Text in Query Output 10. Formatting Numbers and Dates 11. Using Basic Logic to Enhance Analysis 12. Subqueries 13. Derived Tables 14. Common Table Expressions 15. Correlated Subqueries 16. Dataset Manipulation 17. Using SQL for More Advanced Calculations 18. Segmenting and Classifying Data 19. Rolling Analysis 20. Analyzing Data Over Time 21. Complex Data Output
Learning MySQL and MariaDB
Author: Russell J.T. Dyer
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2015-03-30
"With an easy, step-by-step approach, this guide shows beginners how to install, use, and maintain the world's most popular open source database: MySQL. You'll learn through real-world examples and many practical tips, including information on how to improve database performance. Database systems such as MySQL help data handling for organizations large and small handle data, providing robust and efficient access in ways not offered by spreadsheets and other types of data stores. This book is also useful for web developers and programmers interested in adding MySQL to their skill sets. Topics include: Installation and basic administration ; Introduction to databases and SQL ; Functions, subqueries, and other query enhancements ; Improving database performance ; Accessing MySQL from popular languages"--
Advanced SQL Queries
"Advanced SQL Queries: Writing Efficient Code for Big Data" is an essential guide for data professionals seeking to deepen their expertise in SQL amidst the complexities of Big Data environments. This comprehensive book navigates the intricacies of advanced SQL techniques and performance optimization, equipping readers with the skills needed to manage and analyze vast datasets effectively. From learning to write complex queries and mastering data warehousing techniques to exploring SQL's integration in NoSQL environments, the book provides a detailed roadmap to harnessing the full potential of SQL in data-intensive scenarios. Through a structured approach, this book delves into the evolving landscape of SQL, addressing contemporary challenges such as real-time data management, security, and data governance. It also sheds light on future trends, including the interplay of AI and machine learning with SQL, ensuring that readers stay ahead of technological shifts. Suitable for both emerging data scientists and experienced database administrators, "Advanced SQL Queries" serves as a vital resource to elevate one’s proficiency, enabling professionals to drive data-driven insights and decisions with confidence and precision.