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Janani Ravi
An important component of an organization's on-premises solution is the relational database. Cloud SQL is an RDBMS offering on the GCP which makes the operational and administrative aspects of databases very easy to handle. In this course, Creating and...
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An important component of an organization's on-premises solution is the relational database. Cloud SQL is an RDBMS offering on the GCP which makes the operational and administrative aspects of databases very easy to handle. In this course, Creating and...
Read more
An important component of an organization's on-premises solution is the relational database. Cloud SQL is an RDBMS offering on the GCP which makes the operational and administrative aspects of databases very easy to handle. In this course, Creating and Administering Google Cloud SQL Instances, you will learn how to create, work with and manage Cloud SQL instances on the GCP. First, you will assess the range of data storage services on the GCP and understand when you would choose to use Cloud SQL over other technologies. Then, you will create Cloud SQL instances, connect to them using a simple MySQL client, and configure and administer these instances using the web console as well as the gcloud command line utility. Next, you will focus on how Cloud SQL can work in high-availability mode. After that, you will configure failover replicas for high-availability and simulate an outage event to see how the failover replica kicks in. FInally, you will see how to use read replicas for increased read throughput and how data can be migrated into Cloud SQL instances using a SQL dump or from CSV files. At the end of this course, you will be comfortable creating, connecting to, and administering Cloud SQL instances to manage relational databases on the Google Cloud Platform.
Register for this course and see more details by visiting:
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Teaches key concepts for creating, working with, and managing Cloud SQL instances on GCP
Highlights high-availability mode in Cloud SQL and demonstrates failover replica simulation
Explores read replicas and data migration using SQL dump and CSV files
Introduces various data storage services on GCP and their comparisons to Cloud SQL
Suitable for learners who wish to strengthen their database administration skills
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Career center
Learners who complete Creating and Administering Google Cloud SQL Instances will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
Database Administrators plan, implement, and manage an organization's databases and database systems to ensure data integrity, security, and availability. This course may help you build a foundation for this role by teaching you how to create, connect to, and administer Cloud SQL instances, which are relational database management systems (RDBMS) offered on the Google Cloud Platform. With this knowledge, you can contribute to the design, implementation, and management of an organization's database infrastructure.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, deploy, and manage cloud computing systems and applications. This course may be useful as it teaches you how to work with Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for developing and managing cloud-based applications that use relational databases.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines to move data between different systems and applications. This course may be useful as it teaches you how to create, connect to, and administer Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for developing and managing data pipelines that use relational databases.
Solutions Architect
Solutions Architect
Solutions Architects design and implement technical solutions to meet the needs of an organization. This course may be useful as it teaches you how to work with Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for designing and implementing cloud-based solutions that use relational databases.
Software Engineer
Software Engineer
Software Engineers design, develop, and test software applications. This course may be useful as it teaches you how to create, connect to, and administer Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for developing software applications that use relational databases.
Data Scientist
Data Scientist
Data Scientists use data to build models that can be used to make predictions and decisions. This course may be useful as it teaches you how to create, connect to, and administer Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for developing and managing data models that use relational databases.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. This course may be useful as it teaches you how to work with Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for designing and managing computer networks that use relational databases.
Systems Engineer
Systems Engineer
Systems Engineers design, build, and maintain computer systems and networks. This course may be useful as it teaches you how to work with Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for designing and managing computer systems that use relational databases.
IT Manager
IT Manager
IT Managers plan, implement, and manage an organization's information technology (IT) systems and infrastructure. This course may be useful as it teaches you how to create, connect to, and administer Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for managing an organization's IT systems and infrastructure that use relational databases.
Security Engineer
Security Engineer
Security Engineers design, implement, and manage security systems to protect an organization's data and systems from unauthorized access or attack. This course may be useful as it teaches you how to work with Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for designing and managing security systems that protect relational databases.
Database Architect
Database Architect
Database Architects design and manage the structure and organization of an organization's databases. This course may be useful as it teaches you how to create, connect to, and administer Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for designing and managing an organization's databases.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems to meet the needs of an organization. This course may be useful as it teaches you how to create, connect to, and administer Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for designing and implementing computer systems that use relational databases.
Data Analyst
Data Analyst
Data Analysts gather, analyze, and interpret data to provide insights to an organization. This course may be useful as it teaches you how to create, connect to, and administer Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for gathering, analyzing, and interpreting data from relational databases.
Business Analyst
Business Analyst
Business Analysts identify and analyze an organization's business needs and develop solutions to meet those needs. This course may be useful as it teaches you how to create, connect to, and administer Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for developing solutions that use relational databases to meet an organization's business needs.
Project Manager
Project Manager
Project Managers plan, execute, and deliver projects to meet an organization's goals. This course may be useful as it teaches you how to create, connect to, and administer Cloud SQL instances, which are RDBMS offered on the Google Cloud Platform. This knowledge can help you build a foundation for managing projects that use relational databases.
For more career information including salaries, visit:
OpenCourser.com/course/itrwwx/creating
Reading list
We haven't picked any books for this reading list yet.
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.
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.
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.
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.
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.
Provides practical recipes and examples for working with Google Cloud Platform, including Cloud SQL. Offers hands-on guidance for implementing various tasks and scenarios.
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 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.
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.
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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.
The official manual for MySQL, providing comprehensive documentation on all aspects of the database, including installation, configuration, operations, and troubleshooting. It is an essential reference for anyone working with MySQL.
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A comprehensive guide to MySQL, covering everything from basic concepts to advanced topics. It is suitable for both beginners and experienced users, with clear explanations and practical examples.
A practical guide to tuning MySQL performance, covering topics such as hardware sizing, indexing strategies, and query optimization. It is written by experienced MySQL experts and provides valuable insights for maximizing database performance.
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A collection of recipes for specific tasks related to MySQL 5.7, covering topics such as performance tuning, data migration, and replication. It valuable resource for administrators and developers working with MySQL 5.7.
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A concise and practical guide to MySQL, covering the essentials of the database, including SQL syntax, data types, and database design. It is an excellent resource for beginners and intermediate users looking for a quick and accessible reference.
A comprehensive and in-depth guide to MySQL, covering advanced topics such as database design, performance tuning, and replication. It is written by a MySQL expert and provides valuable insights for experienced users looking to master the database.
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A collection of recipes for setting up and managing MySQL replication, covering topics such as master-slave configuration, data consistency, and failover scenarios. It valuable resource for administrators responsible for maintaining MySQL replication systems.
A comprehensive guide to MySQL, covering all aspects of the database, including installation, configuration, performance tuning, and security. It is written by a team of experts and is suitable for both beginners and experienced users.
A concise and handy reference to MySQL, covering the most commonly used commands and syntax. It quick and easy way to find the information you need while working with MySQL.
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Provides a comprehensive overview of high availability, covering both concepts and practical implementation. It is suitable for beginners and those new to the topic.
For more information about how these books relate to this course, visit:
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Time
2 hours
Via
Pluralsight
Instructor
Janani Ravi
This course belongs to a
collection
called
Google: Professional Cloud Data Engineer. It's comprised of 18 courses:
- Architecting Big Data Solutions Using Google Dataproc
- Architecting Serverless Big Data Solutions Using Google Dataflow
- Architecting Data Warehousing Solutions Using Google BigQuery
- Building Machine Learning Models in SQL Using BigQuery ML
- Creating and Administering Google Cloud SQL Instances (viewing)
- Architecting Big Data Solutions Using Google Bigtable
- Designing and Implementing Solutions Using Google Machine Learning APIs
- Designing and Implementing Solutions Using Google Cloud AutoML
- Building Pipelines for Workflow Orchestration Using Google Composer
- Architecting Stream Processing Solutions Using Google Cloud Pub/Sub
- Creating and Administering Google Cloud Spanner Instances
- Architecting Schemaless Scalable NoSQL Databases Using Google Datastore
- Leveraging Fully Managed Redis Datastores Using Google Cloud Memorystore
- Leveraging Google Cloud Firestore for Realtime Database Solutions
- Architecting Scalable Web Applications with Firebase on the Google Cloud Platform
- Developing on the Google Cloud Using Datalab and Cloud Source Repositories
- Architecting Production-ready ML Models Using Google Cloud ML Engine
- Designing Scalable Data Architectures on the Google Cloud
Good to know
Teaches key concepts for creating, working with, and managing Cloud SQL instances on GCP
Highlights high-availability mode in Cloud SQL and demonstrates failover replica simulation
Explores read replicas and data migration using SQL dump and CSV files
Introduces various data storage services on GCP and their comparisons to Cloud SQL
Suitable for learners who wish to strengthen their database administration skills
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