MySQL 9 QuickStart Pro (eBook, ePUB)
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This book is for DBAs and devs who are eager to dive into the world of modern database operations with MySQL 9. With clear-cut instructions and step-by-step demonstrations, you'll be up and running in no time. You'll learn to install MySQL 9 on Linux, upgrade existing systems, and even migrate data from other platforms like PostgreSQL.Every chapter covers a key part of database administration, like deploying and scaling instances, setting up replication for high availability, and optimizing query performance through smart indexing, buffer tuning, and performance analysis using tools like MySQL...
This book is for DBAs and devs who are eager to dive into the world of modern database operations with MySQL 9. With clear-cut instructions and step-by-step demonstrations, you'll be up and running in no time. You'll learn to install MySQL 9 on Linux, upgrade existing systems, and even migrate data from other platforms like PostgreSQL.
Every chapter covers a key part of database administration, like deploying and scaling instances, setting up replication for high availability, and optimizing query performance through smart indexing, buffer tuning, and performance analysis using tools like MySQL Workbench. It's got real-life scenarios to help you understand how to manage transactions, balance isolation levels, and resolve conflicts so your data stays accurate and reliable, even under heavy loads. It also shows you how to secure your MySQL environment through strong authentication, role-based access control, and encryption techniques.
On top of that, you'll learn how to maintain your database through automated workflows, scheduled events, and integration with external tools like Google Spreadsheets and AWS S3. Overall, this book builds strong confidence and competency to deploy, manage, and optimize your MySQL environment for future heavy-data demanding applications.
Key Learnings
Prepare for MySQL 9 with ease by upgrading and migrating legacy databases.
Set up high availability with multiple master-slave configurations, replication, and failover to make it resilient.
Use efficient indexing, CTEs, window functions, and query profiling techniques to optimize query performance.
Exact adjustments to isolation levels, savepoints, rollbacks, and commits for careful transaction management.
Create partitioning, normalization, and efficient data integrity constraints schemas for scalability.
Use shell scripts, scheduled events, and third-party integration to automate routine tasks.
Perform ongoing system performance monitoring with MySQL Workbench and Performance Schema.
Quickly fix issues with configuration and replication to keep database running smoothly.
Every chapter covers a key part of database administration, like deploying and scaling instances, setting up replication for high availability, and optimizing query performance through smart indexing, buffer tuning, and performance analysis using tools like MySQL Workbench. It's got real-life scenarios to help you understand how to manage transactions, balance isolation levels, and resolve conflicts so your data stays accurate and reliable, even under heavy loads. It also shows you how to secure your MySQL environment through strong authentication, role-based access control, and encryption techniques.
On top of that, you'll learn how to maintain your database through automated workflows, scheduled events, and integration with external tools like Google Spreadsheets and AWS S3. Overall, this book builds strong confidence and competency to deploy, manage, and optimize your MySQL environment for future heavy-data demanding applications.
Key Learnings
Prepare for MySQL 9 with ease by upgrading and migrating legacy databases.
Set up high availability with multiple master-slave configurations, replication, and failover to make it resilient.
Use efficient indexing, CTEs, window functions, and query profiling techniques to optimize query performance.
Exact adjustments to isolation levels, savepoints, rollbacks, and commits for careful transaction management.
Create partitioning, normalization, and efficient data integrity constraints schemas for scalability.
Use shell scripts, scheduled events, and third-party integration to automate routine tasks.
Perform ongoing system performance monitoring with MySQL Workbench and Performance Schema.
Quickly fix issues with configuration and replication to keep database running smoothly.
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