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Database Architect

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Salaries for Database Architect

City
Median
New York
$175,000
San Francisco
$195,000
Seattle
$155,000
See all salaries
City
Median
New York
$175,000
San Francisco
$195,000
Seattle
$155,000
Austin
$155,000
Toronto
$95,000
London
£92,000
Paris
€61,000
Berlin
€76,000
Tel Aviv
₪65,000
Singapore
S$131,000
Beijing
¥640,000
Shanghai
¥662,000
Shenzhen
¥640,000
Bengalaru
₹670,000
Delhi
₹419,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Database Architect

Take the first step.
We've curated 24 courses to help you on your path to Database Architect. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
By Jim Gray, a Turing Award winner for his contributions to database systems, focuses on transaction processing, which core aspect of concurrency control. It provides in-depth coverage of transaction models, concurrency control algorithms, and recovery techniques. It is highly recommended for those seeking a deeper understanding of these topics.
Covers a wide range of topics related to database administration, from database design and implementation to maintenance and optimization.
Provides a deep dive into the foundations of scalable systems, covering topics such as distributed systems, data consistency, and fault tolerance. Its principles and concepts are applicable to any cloud-based system, including those using Google Cloud SQL.
By Philip Bernstein, another Turing Award winner for his work on transaction processing, provides a comprehensive treatment of the principles and techniques used in transaction processing systems. It covers concurrency control, recovery, and other related topics.
Offers a comprehensive overview of Google Cloud SQL, including its architecture, features, and best practices. Provides a solid foundation for understanding and implementing Cloud SQL for database management in the cloud.
Provides practical recipes and examples for working with Google Cloud Platform, including Cloud SQL. Offers hands-on guidance for implementing various tasks and scenarios.
While not specific to Google Cloud SQL, this book provides essential principles and practices for designing and building scalable systems. Its concepts are applicable to any cloud-based system, including those using Google Cloud SQL.
Although not specific to Google Cloud SQL, this book provides valuable insights into designing and building scalable, reliable data-intensive applications. Its concepts are applicable to any cloud-based database system.
Provides a comprehensive overview of database systems in German. Covers topics such as data models, database design, and query processing. Although not specific to Google Cloud SQL, its principles and concepts are applicable to any database system.
Provides a practical and technical deep dive into the internals of distributed database systems. It covers concurrency control, distributed transactions, and other related topics, offering insights into the implementation and optimization of these systems.
Provides a comprehensive overview of database administration in German, covering topics such as data models, query processing, and transaction management.
Provides a comprehensive overview of database and data analytics for big data, covering topics such as data storage, data processing, and data visualization. is particularly relevant for those interested in managing and analyzing large datasets.
Focuses on building serverless applications on Google Cloud Platform, including using Cloud SQL as a managed database service. Provides practical guidance and best practices for developing serverless applications with Google Cloud.
Covers MySQL administration in depth, providing valuable information for managing MySQL databases in Google Cloud SQL. Although not specific to Google Cloud, the principles and techniques discussed are applicable to any MySQL environment.
Although not specifically about Google Cloud SQL, this book provides valuable insights into optimizing MySQL performance. Its techniques and best practices are applicable to MySQL databases in any environment, including Google Cloud SQL.
While not specifically about Google Cloud SQL, this book provides a solid foundation in SQL Server, which is the database management system underlying Google Cloud SQL. Understanding SQL Server fundamentals is beneficial for working with Google Cloud SQL.
Focuses on the administration of SQL Server 2019, covering topics such as performance tuning, security, and disaster recovery.
Focuses on concurrency in the Go programming language. It covers concurrency primitives, synchronization techniques, and best practices for writing concurrent code. While not directly related to database systems, it provides valuable insights into concurrency programming.
Provides detailed instructions on how to administer Oracle Database 12c, including topics such as installation, configuration, and maintenance.
Provides a practical guide to administering PostgreSQL, including topics such as installation, configuration, and maintenance.
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