DataBase/SQL

 Access all the information you need to begin using the MySQL Database Service (MDS) in the Oracle Cloud Infrastructure (OCI). MDS is Oracle’s new platform as a service (PAAS) offering for open-source database users. This book covers getting started with an account in OCI, gives a brief overview of OCI services available, and provides a short tutorial on MDS. Reading this book helps you take advantage of the powerful OCI features by building your own MySQL database in the cloud.

 Examples in this book center around running MDS in OCI, and include several of the popular use cases as well as advice on how to implement them. In addition, you will learn more about the related MDS OCI features, such as the high availability features currently available. Finally, you will learn how to back up and restore your data as well as how to get your data into and out of the cloud. The skills you learn in this book will help you get started using MDS and letting Oracle do the heavy lifting of managing MDS operations and implementation.

What You Will Learn

• Use Oracle Cloud Infrastructure (OCI)
• Deploy MySQL Database Service (MDS) systems in the cloud
• Connect your applications to MDS
• Back up and recover using the data recovery features of MDS
• Employ the newest high availability features of MDS

Who This Book Is For

 Systems engineers, developers, and database professionals who want to learn about the powerful features of the MySQL Database Service (MDS) and how to incorporate cloud-based database storage into their infrastructure and applications. Readers who are new to MySQL will appreciate the tutorial chapter, and those familiar with MySQL will learn the latest features of MDS as well as how to build inexpensive, powerful MySQL database servers in the Oracle Cloud Infrastructure (OCI).

 Database skills are among the most in-demand IT skills. With its practical, accessible approach, Coronel/Morris' market-leading DATABASE SYSTEMS: DESIGN, IMPLEMENTATION, & MANAGEMENT, 14th edition, equips you with a solid foundation in database design and implementation for today's market. The authors blend foundational theory, the latest real-world practices and the skills employers want. Straightforward writing and vivid illustrations make even complex concepts easy to understand. You'll learn the key to successful database implementation as you study how to properly design databases that fit within the larger strategic data environment. Expanded coverage includes big data analytics, NoSQL and data visualization technologies. In addition, the MindTap digital platform gives you real-world, hands-on practice to help you prepare for a successful career in database design and management.

 Mastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB’s architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today’s organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0’s deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you’ll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You’ll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.

 This book is your one-stop resource on MySQL database installation and server management for administrators. It covers installation, upgrades, monitoring, high availability, disaster recovery, security, and performance and troubleshooting. You will become fluent in MySQL 8.2, the latest version of the highly scalable and robust relational database system.

 With a hands-on approach, the book offers step-by-step guidance on installing, upgrading, and establishing robust high availability and disaster recovery capabilities for MySQL databases. It also covers high availability with InnoDB and NDB clusters, MySQL routers and enterprise MySQL tools, along with robust security design and performance techniques. Throughout, the authors punctuate concepts with examples taken from their experience with large-scale implementations at companies such as Meta and American Airlines, anchoring this practical guide to MySQL 8.2 administration in the real world.

 Мониторинг PostgreSQL составляет важную часть работы администратора, помогая отвечать на многие вопросы, связанные с производительностью. Эта книга всесторонне охватывает обширную тему мониторинга, соединяя в себе справочные материалы об инструментарии, практические приемы его использования и способы интерпретации полученных данных. Знание внутреннего устройства PostgreSQL и особенностей мониторинга, почерпнутое из этой книги, поможет в долгосрочной перспективе эффективно эксплуатировать СУБД и успешно решать возникающие задачи.

 Для администраторов баз данных, системных администраторов, специалистов по надежности.

 Если вы аналитик или инженер по обработке данных и используете SQL, популярный карманный справочник станет для вас идеальным помощником. Найдите множество примеров, раскрывающих все сложности языка, а также ключевые аспекты SQL при его использовании в Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL и SQLite.
 В обновленном издании Элис Жао описывает, как в этих СУБД используется SQL для формирования запросов и внесения изменений в базу. Получите подробную информацию о типах данных и их преобразованиях, синтаксисе регулярных выражений, оконных функциях, операторах PIVOT и UNPIVOT и многом другом.

 Когда дело доходит до выбора, использования и обслуживания базы данных, важно понимать ее внутреннее устройство. Как разобраться в огромном море доступных сегодня распределенных баз данных и инструментов? На что они способны? Чем различаются?

 Алекс Петров знакомит нас с концепциями, лежащими в основе внутренних механизмов современных баз данных и хранилищ. Для этого ему пришлось обобщить и систематизировать разрозненную информацию из многочисленных книг, статей, постов и даже из нескольких баз данных с открытым исходным кодом.

 Вы узнаете о принципах и концепциях, используемых во всех типах СУБД, с акцентом на подсистеме хранения данных и компонентах, отвечающих за распределение. Эти алгоритмы используются в базах данных, очередях сообщений, планировщиках и в другом важном инфраструктурном программном обеспечении. Вы разберетесь, как работают современные системы хранения информации, и это поможет взвешенно выбирать необходимое программное обеспечение и выявлять потенциальные проблемы.

 Get your daily work done efficiently using this comprehensive guide for SQL Server DBAs that covers all that a practicing database administrator needs to know. Updated for SQL Server 2022, this edition includes coverage of new features, such as Ledger, which provides an immutable record of table history to protect you against malicious data tampering, and integration with cloud providers to support hybrid cloud scenarios. You’ll also find new content on performance optimizations, such as query pan feedback, and security controls, such as new database roles, which are restructured for modern ways of working. Coverage also includes Query Store, installation on Linux, and the use of containerized SQL.

 Pro SQL Server 2022 Administration takes DBAs on a journey that begins with planning their SQL Server deployment and runs through installing and configuring the instance, administering and optimizing database objects, and ensuring that data issecure and highly available. Readers will learn how to perform advanced maintenance and tuning techniques, and discover SQL Server's hybrid cloud functionality.

 This book teaches you how to make the most of new SQL Server 2022 functionality, including integration for hybrid cloud scenarios. The book promotes best-practice installation, shows how to configure for scalability and high availability, and demonstrates the gamut of database-level maintenance tasks, such as index maintenance, database consistency checks, and table optimizations.

What You Will Learn

• Integrate SQL Server with Azure for hybrid cloud scenarios
• Audit changes and prevent malicious data changes with SQL Server’s Ledger
• Secure and encrypt data to protect against embarrassing data breaches
• Ensure 24 x 7 x 365 access through high availability and disaster recovery features in today’s hybrid world
• Use Azure tooling, including Arc, to gain insight into and manage your SQL Server enterprise
• Install and configure SQL Server on Windows, Linux, and in containers
• Perform routine maintenance tasks, such as backups and database consistency checks
• Optimize performance and undertake troubleshooting in the Database Engine

Who This Book Is For

 SQL Server DBAs who manage on-premise installations of SQL Server. This book is also useful for DBAs who wish to learn advanced features, such as integration with Azure, Query Store, Extended Events, and Policy-Based Management, or those who need to install SQL Server in a variety of environments.

 A hands-on, beginner-friendly approach to developing complete web applications from the ground up, using JavaScript and its most popular frameworks, including Node.js and React.js.

 Whether you’ve been in the developer kitchen for decades or are just taking the plunge to do it yourself, The Complete Developer will show you how to build and implement every component of a modern stack—from scratch.

 You’ll go from a React-driven frontend to a fully fleshed-out backend with Mongoose, MongoDB, and a complete set of REST and GraphQL APIs, and back again through the whole Next.js stack.

 The book’s easy-to-follow, step-by-step recipes will teach you how to build a web server with Express.js, create custom API routes, deploy applications via self-contained microservices, and add a reactive, component-based UI. You’ll leverage command line tools and full-stack frameworks to build an application whose no-effort user management rides on GitHub logins.

You’ll also learn how to: 

• Work with modern JavaScript syntax, TypeScript, and the Next.js framework
• Simplify UI development with the React library 
• Extend your application with REST and GraphQL APIs
• Manage your data with the MongoDB NoSQL database
• Use OAuth to simplify user management, authentication, and authorization
• Automate testing with Jest, test-driven development, stubs, mocks, and fakes

 Whether you’re an experienced software engineer or new to DIY web development, The Complete Developer will teach you to succeed with the modern full stack. After all, control matters.  

Covers: Docker, Express.js, JavaScript, Jest, MongoDB, Mongoose, Next.js, Node.js, OAuth, React, REST and GraphQL APIs, and TypeScript

 Эта книга предназначена для разработчиков сайтов и приложений, веб-дизайнеров и программистов.

 Вы научитесь программировать на языке PHP, создавать сайты с нуля и управлять базами данных.

 Эта книга — самый простой и интересный способ изучить PHP и начать работать с базами данных MySQL.

 Внутри вы найдете наглядные фрагменты кода, скриншоты и иллюстрации, с помощью которых вы не только легко и быстро освоите азы программирования на PHP, но и примените полученные знания на практике, создав свой первый веб-сайт или приложение. Помимо этого, автор сосредотачивается на лучших практиках современного веб-дизайна, чтобы ваш продукт получился не только функциональным, но и удобным для будущих пользователей.

  Никаких специальных навыков для освоения этой книги не требуется.

 Are you overwhelmed by SQL Joins?? Do you struggle to understand the concept of different SQL Joins??

 If Yes, then keep reading...
 Understanding the concept of SQL Joins is indeed a challenging task for many people. Combining data from multiple datasets and creating advanced queries leads to frustration and confusion.
 All you need is a resource that simplifies SQL joins and provides ample opportunities for practice.
 "Mastering SQL Joins: A Quick Handbook On Mastering SQL Joins With Practical Exercises" is your ultimate solution.

 This short handbook has everything you want to know about SQL as well as the hands-on challenges that'll equip you with skills to succeed.

 In this short handbook, you'll discover:

• Simplified SQL joins concept in clear and concise language that helps you in creating a solid foundation for understanding SQL joins.

• Practice questions after every chapter so that you reinforce your learning

• Dedicated chapter for hands-on industry-level questions that will polish your skills

• Illustrations to make things easy to understand and hard to forget so that you become a master in SQL Joins

• Practice Dataset included in the book so that you don't have to waste time in finding the right dataset for practice SQL Joins.

  This book is not another dense theory-packed boring textbook filled with only technical jargon and fluff, which you need a computer science degree to understand.

 This is not just a textbook; this is an interactive practical handbook!

 If you want to enhance your problem-solving abilities, and gain practical expertise, then scroll up and click on "add to cart."

 Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects.

In Graph Algorithms for Data Science you will learn:

• Labeled-property graph modeling
• Constructing a graph from structured data such as CSV or SQL
• NLP techniques to construct a graph from unstructured data
• Cypher query language syntax to manipulate data and extract insights
• Social network analysis algorithms like PageRank and community detection
• How to translate graph structure to a ML model input with node embedding models
• Using graph features in node classification and link prediction workflows

 Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more.

 Foreword by Michael Hunger.

About the technology

 A graph, put simply, is a network of connected data. Graphs are an efficient way to identify and explore the significant relationships naturally occurring within a dataset. This book presents the most important algorithms for graph data science with examples from machine learning, business applications, natural language processing, and more.

About the book

 Graph Algorithms for Data Science shows you how to construct and analyze graphs from structured and unstructured data. In it, you’ll learn to apply graph algorithms like PageRank, community detection/clustering, and knowledge graph models by putting each new algorithm to work in a hands-on data project. This cutting-edge book also demonstrates how you can create graphs that optimize input for AI models using node embedding.

What's inside

• Creating knowledge graphs
• Node classification and link prediction workflows
• NLP techniques for graph construction

About the reader

 For data scientists who know machine learning basics. Examples use the Cypher query language, which is explained in the book.

To help you become a Snowflake professional, this short but comprehensive guide covers the basics and best practices of using SQL and Scripting languages in Snowflake. Developers and data specialists will learn how to generate, modify and query data in the Snowflake relational database management system, as well as how to use analytical functions to create reports. The author will also show how to create scripts, stored functions, and stored procedures to return datasets using Snowflake Scripting. This book is ideal for those who are just starting to work with databases and need to run queries and reports on a Snowflake database or migrate from databases such as Oracle, SQL Server or MySQL to cloud platforms.

 Исчерпывающий обзор лучших практик по устранению неисправностей и оптимизации производительности Microsoft SQL Server. Специалисты по базам данных, в том числе разработчики и администраторы, научатся выявлять проблемы с производительностью, системно устранять неполадки и расставлять приоритеты при тонкой настройке, чтобы достичь максимальной эффективности.

 Автор книги Дмитрий Короткевич — Microsoft Data Platform MVP и Microsoft Certified Master (MCM) — расскажет о взаимозависимостях между компонентами баз данных SQL Server. Вы узнаете, как быстро провести диагностику системы и найти причину любой проблемы. Методы, описанные в книге, совместимы со всеми версиями SQL Server и подходят как для локальных, так и для облачных конфигураций SQL Server.

 Рассмотрены готовые рецепты для решения практических задач при работе с СУБД Oracle, DB2, SQL Server, MySQL и PostgreSQL. Описаны извлечение записей из таблиц, сортировка результатов запросов, принципы работы с несколькими таблицами, обработка запросов с метаданными. Рассказывается о способах поиска данных средствами SQL,о составлении отчетов и форматировании результирующих множеств, работе с иерархическими запросами. Рассматривается использование оконных функций, обобщенных табличных выражений (ОТВ), сбор данных в блоки, формирование гистограмм, текущих сумм и подсумм, агрегация скользящего диапазона значений. Описан обход строки и ее синтаксический разбор на символы, приведены способы упрощения вычислений внутри строки.

 Во втором издании учтены все изменения в синтаксисе и архитектуре актуальных реализаций SQL.

 Для программистов, разработчиков и администраторов баз данных.

Второе издание включает:

• Полностью обновленные рецепты, учитывающие более широкое использование оконных функций в SQL-приложениях.
• Дополнительные примеры, показывающие обширное использование обобщенных табличных выражений (ОТВ) для создания более удобочитаемых и простых решений.
• Новые решения, которые делают SQL более полезным для пользователей, не являющихся экспертами в области СУБД, включая специалистов по работе с данными.
• Расширенные выражения для обработки чисел и строк.

 The latest edition of this PostgreSQL book will help you to start using PostgreSQL from absolute scratch, helping you to quickly understand the internal workings of the database. With a structured approach and practical examples, go on a journey that covers the basics, from SQL statements and how to run server-side programs, to configuring, managing, securing, and optimizing database performance.

 This new edition will not only help you get to grips with all the recent changes within the PostgreSQL ecosystem but will also dig deeper into concepts like partitioning and replication with a fresh set of examples. The book is also equipped with Docker images for each chapter which makes the learning experience faster and easier. Starting with the absolute basics of databases, the book sails through to advanced concepts like window functions, logging, auditing, extending the database, configuration, partitioning, and replication. It will also help you seamlessly migrate your existing database system to PostgreSQL and contains a dedicated chapter on disaster recovery. Each chapter ends with practice questions to test your learning at regular intervals.

 By the end of this book, you will be able to install, configure, manage, and develop applications against a PostgreSQL database.

What you will learn

• Gain a deeper understanding of PostgreSQL internals like transactions, MVCC, security and replication
• Enhance data management with PostgreSQL’s latest partitioning features
• Choose the right replication strategy for your database
• See concrete examples of how to migrate data from another database, perform backups and restores, monitor your PostgreSQL installation and more
• Ensure security and compliance with schemas and user privileges
• Create customized database functions and extensions
• Get to grips with server-side programming, window functions, and triggers

Who this book is for

 Learning PostgresSQL 16 book is for anyone interested in learning about the PostgreSQL database from scratch. Anyone looking to build robust data warehousing applications and scale the database for high-availability and performance using the latest features of PostgreSQL will also find this book useful. Although prior knowledge of PostgreSQL is not required, familiarity with databases is expected.

 Master Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you’ll need to perform to keep your databases stable, tuned, and running. The book also includes administrative tasks specific to cloud environments, including the Oracle Autonomous Database running in the Oracle Cloud Infrastructure. New in this edition is help for DBAs who are becoming involved in data management, and a look at the idea of a converged database and what that means in handling various data types and workloads. The book covers some of the machine learning features now in Oracle and shows how the same SQL that you know for database administration also helps you with data management tasks. The information in this book helps you to apply the right solution at the right time, mitigating risk and making robust choices that protect your data and avoid midnight phone calls.

 Data management is increasingly a DBA function, and DBAs are often called upon for help in getting data loaded into analytics environments such as a data lakehouse or a data mesh. This book addresses this fast-growing new role for database administrators and helps you build on your existing knowledge to make the transition into a new skill set that is in high demand. You’ll learn how to look at data optimization from the standpoint of data analysis and machine learning so that you can be seen as a key player in preparing your organization’s data for those type of activities. You’ll know how to pull back information from a combination of relational tables and JSON structures. You’ll become familiar with the tools that Oracle Database provides to make analytics easier and more straightforward. And you’ll learn simpler ways to manage time-based tables that eliminate the need for painfully creating triggers to track the history of row changes over time.

 This book builds your skills as an Oracle Database administrator with the aim of helping you to be seen as a key player in data management as your organization pivots toward cloud computing and a greater use of machine learning and analytics technologies.

What You'll Learn

• Configure and manage Oracle 23c databases both on-premises and in the cloud
• Meet your DBA responsibilities in the Oracle Cloud and with Database Cloud Services
• Perform administrative tasks for Autonomous Database dedicated environments
• Perform DBA tasks and effectively use data management tools
• Migrate from on-premises to the Oracle Cloud Infrastructure
• Troubleshoot issues with Oracle 23c databases and quickly solve performance problems
• Architect cloud, on-premises, hybrid, and multi-cloud database environments

Who This Book Is For

 Oracle database administrators (DBAs) who want to be current with the new features in Oracle Database 23c. For any DBA who is tasked with managing Oracle databases in cloud, hybrid cloud, and multi-cloud configurations. Also helpful for data architects who are designing analytic solutions in data lakehouse and data mesh environments.

 SQL для чайников. 9-е изд.. Перед вами новейшее издание бестселлера, посвященное последней версии стандарта SQL. Здесь вы найдете информацию о том, как эффективно применять SQL для построения реляционных баз данных. Вы узнаете, как проектировать и защищать базы данных, а также извлекать из них всю необходимую информацию. В эпоху больших данных крайне важно иметь под рукой простое и доступное руководство по работе с информационными ресурсами.

 В книге рассматриваются системы баз данных с точки зрения разработчика ПО. Автор подробно разбирает исходный код полностью функциональной, но при этом простой для изучения учебной базы данных SimpleDB и предлагает читателям, изменяя отдельные ее компоненты, разобраться в том, к чему это приведет. Это отличный способ погрузиться в тему и изучить, как работают базы данных на уровне исходного кода.

 Приводится краткий обзор систем баз данных; рассказывается о том, как написать приложение базы данных на Java; подробно описываются отдельные компоненты типичной системы баз данных, начиная с самого низкого уровня абстракции (управление дисками и диспетчер файлов) и заканчивая самым верхним (интерфейс клиента JDBC). Заключительные главы посвящены эффективной обработке запросов.

 Издание предназначено для студентов вузов, а также всех разработчиков, кто хочет научиться создавать системы баз данных.

 В книге представлено подробное описание распределенных и параллельных баз данных с учетом новейших технологий. Авторы затрагивают такие темы, как проектирование распределенных и параллельных БД, контроль распределенных данных, распределенная обработка запросов и транзакций, интеграция баз данных. Отдельная глава посвящена обработке больших данных (в частности, обсуждаются распределенные системы хранения, потоковая обработка данных, платформы MapReduce и Spark, анализ графов и озера данных). Обработка веб-данных рассматривается с акцентом на технологию RDF, получившую широкое распространение.

 В конце глав 2-12 приводятся упражнения, позволяющие закрепить теоретический материал. На сопроводительном сайте читатели найдут информацию об основах реляционных баз данных, обработке запросов, управлении транзакциями и компьютерных сетях. Кроме того, на сайте выложены все рисунки к книге, слайды и решения упражнений (только для преподавателей).

 Издание может использоваться в качестве учебника для студентов и магистрантов, изучающих информатику и смежные дисциплины, а также заинтересует всех, кто занимается компьютерными науками.

 В сфере IT произошла настоящая революция – с инфраструктурой стали работать как с кодом. Этот процесс создает не только новые проблемы, но и возможности для обеспечения безотказной работы баз данных. Авторы подготовили это практическое руководство для всех, кто желает влиться в сообщество современных инженеров по обеспечению надежности баз данных (database reliability engineers, DBRE).

 Эта книга представлят собой пошаговое руководство, которое поможет вам с легкостью управлять данными в реляционной базе данных MySQL или MariaDB с помощью SQL-запросов. В книге подробно рассматривается аспект извлечения данных SQL-запросов с использованием оператора WHERE и обработки состояния NULL, а также функции, доступные в MySQL. Затем рассматривается объединение данных из нескольких источников и изучатся стиль ANSI, а также синтаксис старого стиля для всех типов соединений. В последней части подробно рассматриваются DDL и DML. Кром того, автор рассказывает, как можно запускать SQL-запросы из программы Python 3 и наполнять DataFrame Pandas данными из таблиц базы данных MySQL.

 Цель данно книги: сформировать понимание концепций, связанных с реляционными базами данных, и навыки подключния Python и Pandas к MySQL/MariaDB.

 Эта книга предназначена как для новичков, так и для профессионалов. Она будет полезна специалистам по данным, аналитикам данных и администраторам баз данных.

 This book will teach you the essential knowledge required to be a successful and productive web developer with the ability to produce cutting-edge websites utilizing a database.

 This updated edition starts with the fundamentals of web development before delving into Perl and MySQL concepts such as script and database modelling, script-driven database interactions, content generation from a database, and information delivery from the server to the browser and vice versa. The only skills required to get the most from this book are basic knowledge of how the Internet works and a novice skill level with Perl and MySQL. The rest is intuitively presented code that most people can quickly and easily understand and employ. An extensive selection of practical, fully functional programming constructs in six different programming languages will give you the knowledge and tools required to create eye-catching, capable, and functionally impressive database-driven websites.

 Author Thomas Valentine has taken the concepts presented in the first edition of this book to new heights, offering in-depth discussions of each area of functionality required to develop fully formed database-driven web applications. He has expanded on the examples presented in the first edition and has included some very interesting and useful programming techniques for your consideration. Upon completing this book, you’ll have gained the benefit of the author’s decades worth of experience and will be able to apply your new knowledge and skills to your own projects.

What You Will Learn

• Install, configure and use a trio of software packages (Apache Web Server, MySQL Database Server, and Perl Scripting Server)
• Create an effective web development workstation with databases in mind
• Use the PERL scripting language and MySQL databases effectively
• Maximize the Apache Web Server

Who This Book Is For

Those who already know web development basics and web developers who want to master database-driven web development. The skills required to understand the concepts put forth in this book are a working knowledge of PERL and basic MySQL.

 For MySQL, the price of popularity comes with a flood of questions from users on how to solve specific data-related issues. That's where this cookbook comes in. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don't have the time (or expertise) to resolve MySQL problems from scratch.

 In this updated fourth edition, authors Sveta Smirnova and Alkin Tezuysal provide more than 200 recipes that cover powerful features in both MySQL 5.7 and 8.0. Beginners as well as professional database and web developers will dive into topics such as MySQL Shell, MySQL replication, and working with JSON.

You'll learn how to:

• Connect to a server, issue queries, and retrieve results
• Retrieve data from the MySQL Server
• Store, retrieve, and manipulate strings
• Work with dates and times
• Sort query results and generate summaries
• Assess the characteristics of a dataset
• Write stored functions and procedures
• Use stored routines, triggers, and scheduled events
• Perform basic MySQL administration tasks
• Understand MySQL monitoring fundamentals