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Google Professional Cloud Database Engineer Exam Preparation Guide
This book, titled "Google Professional Cloud Database Engineer Exam Preparation Guide," serves as a comprehensive resource for individuals preparing for the Google Professional Cloud Database Engineer certification exam. It covers essential concepts and skills required to design, manage, and optimize cloud database solutions using Google Cloud Platform (GCP).
The book begins by outlining the fundamentals of cloud databases, including different database models such as relational, NoSQL, and in-memory databases. It emphasizes the importance of understanding data structures, data storage mechanisms, and querying techniques. The guide then delves into the core services offered by GCP, such as Cloud SQL, Cloud Spanner, BigQuery, and Cloud Firestore, detailing their features, use cases, and best practices for implementation.
A significant focus is placed on ensuring database security through identity and access management (IAM), encryption, and configuration of database firewalls. Readers will learn about automating database operations using tools like the Cloud Console, gcloud command-line interface, and REST APIs, as well as setting up monitoring and alerts to maintain optimal performance.
The book also covers strategies for migrating existing databases to GCP, highlighting the use of Database Migration Service (DMS) and addressing challenges related to data consistency and downtime. Additionally, real-world case studies and problem-solving exercises are included to reinforce the concepts learned, allowing readers to apply their knowledge in practical scenarios.
By the end of the book, readers will have a solid understanding of cloud database engineering principles, preparing them for success in the certification exam and equipping them with the skills to effectively manage cloud databases in a professional environment.
The book begins by outlining the fundamentals of cloud databases, including different database models such as relational, NoSQL, and in-memory databases. It emphasizes the importance of understanding data structures, data storage mechanisms, and querying techniques. The guide then delves into the core services offered by GCP, such as Cloud SQL, Cloud Spanner, BigQuery, and Cloud Firestore, detailing their features, use cases, and best practices for implementation.
A significant focus is placed on ensuring database security through identity and access management (IAM), encryption, and configuration of database firewalls. Readers will learn about automating database operations using tools like the Cloud Console, gcloud command-line interface, and REST APIs, as well as setting up monitoring and alerts to maintain optimal performance.
The book also covers strategies for migrating existing databases to GCP, highlighting the use of Database Migration Service (DMS) and addressing challenges related to data consistency and downtime. Additionally, real-world case studies and problem-solving exercises are included to reinforce the concepts learned, allowing readers to apply their knowledge in practical scenarios.
By the end of the book, readers will have a solid understanding of cloud database engineering principles, preparing them for success in the certification exam and equipping them with the skills to effectively manage cloud databases in a professional environment.
193 pages, Hardcover
Published January 13, 2025
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