MariaDB is a database that has become very popular in the few short years that it has been around. It does not require a big server or expensive support contract. It is also powerful enough to be the database of choice for some of the biggest and most popular websites in the world, taking full advantage of the latest computing hardware available. From installing and configuring through basic usage and maintenance, each chapter in this revised and expanded guide leads on sequentially and logically from the one before it, introducing topics in their natural order so you learn what you need, when you need it. The book is based on the latest release of MariaDB and covers all the latest features and functions. By the end of this beginner-friendly book, not only will you have a running installation of MariaDB, but you will have practical, hands-on experience in the basics of how to install, configure, administer, use, and maintain it.

Quickly get up to speed with MariaDB—the leading, drop-in replacement for MySQL, through this practical tutorial About This Book Get to know the basic SQL queries so you can quickly start using MariaDB Take control of your data through the advanced features of MariaDB Exploit the full potential of MariaDB's exclusive features through quick, practical examples Who This Book Is For If you don't know the SQL language, but you want to quickly jump into the SQL world and learn how to use MariaDB, or if you already know how to use MySQL but you want to go further, then this book is ideal for you. What You Will Learn Install and configure MariaDB Create databases, tables, and indexes Import and export data from and to external files Work with views and virtual columns Create, read, update, and delete records in your database Use dynamic columns Set up a powerful full-text search system Access your external data from MariaDB through the CONNECT engine In Detail This book will take you through all the nitty-gritty parts of MariaDB, right from the creation of your database all the way to using MariaDB's advanced features. At the very beginning, we show you the basics, that is, how to install MariaDB. Then, we walk you through the databases and tables of MariaDB, and introduce SQL in MariaDB. You will learn about all the features that have been added in MariaDB but are absent in MySQL. Moving on, you'll learn to import and export data, views, virtual columns, and dynamic columns in MariaDB. Then, you'll get to grips with full-text searches and queries in MariaDb. You'll also be familiarized with the CONNECT storage engine. At the end of the book, you'll be introduced to the community of MariaDB. Style and approach This is a complete guide that uses concrete examples to help you understand and exploit the full potential of MariaDB.

A practical cookbook, filled with advanced recipes, and plenty of code and commands used for illustration, which will make your learning curve easy and quick. This book is for anyone who wants to learn more about databases in general or MariaDB in particular. Some familiarity with SQL databases is assumed, but the recipes are approachable to almost anyone with basic database skills.

MariaDB is a database server that offers drop-in replacement functionality for MySQL. Built by some of the original authors of MySQL, with assistance from the broader community of free and open source software developers, MariaDB offers a rich set of feature enhancements to MySQL, including alternate storage engines, server optimizations, and patches. MariaDB Crash Course teaches you all you need to know to be immediately productive with MariaDB. Master trainer Ben Forta introduces all the essentials through a series of quick, easy-to-follow, hands-on lessons. Instead of belaboring database theory and relational design, Forta focuses on teaching solutions for the majority of users who simply want to interact with data. Learn how to: Retrieve and sort data Filter data using comparisons, regular expressions, and full text search Join relational data Create and alter tables Insert, update, and delete data Leverage the power of stored procedures and triggers Use views and cursors Manage transactional processing Create user accounts and manage security via access control

MariaDB is growing in popularity as a "drop-in" replacement for MySQL. Now you can quickly learn how to install and configure it to meet your own data storage needs in this beginner-friendly tutorial. Overview A step-by-step guide to installing and configuring MariaDB Includes real-world examples that help you learn how to store and maintain data on MariaDB Written by someone who has been involved with the project since its inception In Detail In the modern age, storing data is of paramount importance, and this is where databases enter the picture. MariaDB is a relatively new database that has become very popular in a short amount of time. It is a community-developed fork of MySQL and it is designed to be an enhanced and backward compatible database solution. Getting Started with MariaDB is a practical, hands-on, beginner-friendly guide to installing and using MariaDB. This book will start with the installation of MariaDB before moving on to the basics. You will then learn how to configure and maintain your database with the help of real-world examples. Getting Started with MariaDB literally starts at square one by walking you through the basics of what you need to know about MariaDB. This book will teach you how to install MariaDB as well as how to configure it. Following that, you will then be shown how to secure MariaDB. This book will also teach you common commands and will help you learn how to maintain a MariaDB server. What you will learn from this book Install MariaDB on Windows/RedHat/Fedora/CentOS Linux/Debian/Ubuntu Linux Configure MariaDB to optimize data storage Administer users on MariaDB Learn how to utilize MariaDB to maintain a backup of your data Maintain MariaDB and keep it running smoothly Approach A practical, hands-on, beginner-friendly guide to installing and using MariaDB. Who this book is written for Getting Started with MariaDB is for anyone who wants to learn more about databases in general or MariaDB in particular. No prior database experience is required. It is assumed that you have basic knowledge of software installation, editing files with a text editor, and using the command line and terminal.

Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business users Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting Uses a practical tone and integrates multiple topics in a coherent framework Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R Shows readers how to visualize results in static and interactive reports Supplementary materials includes PDF slides based on the book’s content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.

A step-by-step guide that will help you manage data in a relational database using SQL with ease Ê DESCRIPTIONÊ Ê This book starts with the concepts in RDBMS (Relational Database Management Systems) and SQL (Structured Query Language). The first few chapters cover the definitions and a brief explanation of all the important concepts. They also cover the installation of MariaDB and MySQL on Windows and Raspberry Pi, as well as the setup of various tools used to connect to MySQL and MariaDB server processes. We will also understand how to install sample schemas and how to use basic SQL queries. Then we move on to the SELECT query in detail. The book explores the data retrieval aspect of SQL queries in detail with the WHERE clause and NULL handling in detail. The book also explores the functions available in MySQL. Those are single row and group functions. Then we explore how to combine the data from multiple sources. The technique is known as Joins, and we will learn ANSI style and the old-style syntax for all the types of Joins.Ê The last part explores the DDL and DMLs in depth. We also learn the concepts of Transactions and Constraints. The book explores how we can run the SQL queries from a Python 3 program and load a pandas DataFrame with the data from a table in a schema in the MySQL database. Ê KEY FEATURESÊ _Ê Understand the concepts related to relational databases. _Ê Learn how to install MariaDB and MySQL on Windows, Linux and tools to access it. _ ÊLearn how to connect Python and Pandas to MySQL/MariaDB. WHAT WILL YOU LEARNÊ _Ê Understand the basics of MySQL and MariaDB. _ Get familiar with MySQL Arithmetic Operators, DDL, DML, DCL & TCL commands. _Ê Understand the concept of Single-Row Functions and Group Functions in detail. _Ê Retrieve data from multiple sources using the Joins. WHO THIS BOOK IS FOR This book is designed for beginners as well as professionals alike. The book will also be useful to Data Scientists, Data Analysts, Database Administrators, and Data Engineers. Table of Contents 1. Introduction and Installation 2. Getting Started with MySQL 3. Getting Started with SQL Queries 4. The WHERE clause in detail 5. Single Row Functions 6. Group Functions 7. Joins in MySQL 8.Ê Subqueries 9. DDL, DML, and Transactions 10. Views 11. Python 3, MySQL, and Pandas

Master the capabilities of PostgreSQL 11 to efficiently manage and maintain your database Key FeaturesMaster advanced concepts of PostgreSQL 11 with real-world datasets and examplesExplore query parallelism, data replication, and database performance while working with larger datasetsExtend the functionalities of your PostgreSQL instance to suit your organization’s needs with minimal effortBook Description This second edition of Mastering PostgreSQL 11 helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both the physical and technical aspects of the system architecture with ease. This book begins with an introduction to the newly released features in PostgreSQL 11 to help you build efficient and fault-tolerant PostgreSQL applications. You’ll examine all of the advanced aspects of PostgreSQL in detail, including logical replication, database clusters, performance tuning, monitoring, and user management. You will also work with the PostgreSQL optimizer, configuring PostgreSQL for high speed, and see how to move from Oracle to PostgreSQL. As you progress through the chapters, you will cover transactions, locking, indexes, and optimizing queries to improve performance. Additionally, you’ll learn to manage network security and explore backups and replications, while understanding the useful extensions of PostgreSQL so that you can optimize the speed and performance of large databases. By the end of this book, you will be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease. What you will learnGet to grips with advanced PostgreSQL 11 features and SQL functionsMake use of the indexing features in PostgreSQL and fine-tune the performance of your queriesWork with stored procedures and manage backup and recoveryMaster replication and failover techniquesTroubleshoot your PostgreSQL instance for solutions to common and not-so-common problemsPerform database migration from MySQL and Oracle to PostgreSQL with easeWho this book is for This book is for data and database professionals wanting to implement advanced functionalities and master complex administrative tasks with PostgreSQL 11. Prior experience of database administration with PostgreSQL database will aid in understanding the concepts covered in this book.

Explore the engine that drives the internet It takes a powerful suite of technologies to drive the most-visited websites in the world. PHP, mySQL, JavaScript, and other web-building languages serve as the foundation for application development and programming projects at all levels of the web. Dig into this all-in-one book to get a grasp on these in-demand skills, and figure out how to apply them to become a professional web builder. You’ll get valuable information from seven handy books covering the pieces of web programming, HTML5 & CSS3, JavaScript, PHP, MySQL, creating object-oriented programs, and using PHP frameworks. Helps you grasp the technologies that power web applications Covers PHP version 7.2 Includes coverage of the latest updates in web development Perfect for developers to use to solve problems This book is ideal for the inexperienced programmer interested in adding these skills to their toolbox. New coders who've made it through an online course or boot camp will also find great value in how this book builds on what you already know.

This textbook explains SQL within the context of data science and introduces the different parts of SQL as they are needed for the tasks usually carried out during data analysis. Using the framework of the data life cycle, it focuses on the steps that are very often given the short shift in traditional textbooks, like data loading, cleaning and pre-processing. The book is organized as follows. Chapter 1 describes the data life cycle, i.e. the sequence of stages from data acquisition to archiving, that data goes through as it is prepared and then actually analyzed, together with the different activities that take place at each stage. Chapter 2 gets into databases proper, explaining how relational databases organize data. Non-traditional data, like XML and text, are also covered. Chapter 3 introduces SQL queries, but unlike traditional textbooks, queries and their parts are described around typical data analysis tasks like data exploration, cleaning and transformation. Chapter 4 introduces some basic techniques for data analysis and shows how SQL can be used for some simple analyses without too much complication. Chapter 5 introduces additional SQL constructs that are important in a variety of situations and thus completes the coverage of SQL queries. Lastly, chapter 6 briefly explains how to use SQL from within R and from within Python programs. It focuses on how these languages can interact with a database, and how what has been learned about SQL can be leveraged to make life easier when using R or Python. All chapters contain a lot of examples and exercises on the way, and readers are encouraged to install the two open-source database systems (MySQL and Postgres) that are used throughout the book in order to practice and work on the exercises, because simply reading the book is much less useful than actually using it. This book is for anyone interested in data science and/or databases. It just demands a bit of computer fluency, but no specific background on databases or data analysis. All concepts are introduced intuitively and with a minimum of specialized jargon. After going through this book, readers should be able to profitably learn more about data mining, machine learning, and database management from more advanced textbooks and courses.