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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

Continuous Data Replication from Cloud SQL for MySQL to BigQuery using Striim

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What's inside

Syllabus

Online Data Migration to BigQuery using Striim

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Explores Continuous Data Replication from Cloud SQL for MySQL to BigQuery using Striim, which is offered by Google Cloud Training
Self-paced and hands-on lab
Taught by Google Cloud Training
May require additional subscription costs

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Online Data Migration to BigQuery using Striim with these activities:
Review SQL basics
Refreshing your knowledge of SQL will help you better understand the data migration process.
Show steps
  • Review online tutorials
  • Practice writing SQL queries
  • Take a SQL quiz
Review concepts of data replication
Review the fundamentals of data replication to strengthen your understanding of the concepts covered in this course.
Browse courses on Data Replication
Show steps
  • Read through online articles or tutorials on data replication
  • Identify different types of data replication techniques
  • Explore the benefits and limitations of each technique
Review basic SQL syntax
Reviewing basic SQL syntax will help you better understand the concepts covered in the course.
Show steps
  • Review SQL tutorials and documentation
  • Practice writing basic SQL queries
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Create a collection of resources on Striim
Having a collection of resources on Striim will provide you with a valuable reference for future use.
Show steps
  • Gather links to relevant websites
  • Download whitepapers and articles
  • Organize the resources into a folder
Follow tutorials on using Striim
Complete guided tutorials on Striim to familiarize yourself with its features and how to use it for data replication.
Show steps
  • Find tutorials or documentation on Striim online
  • Follow the instructions to set up Striim
  • Practice using Striim to replicate data from one system to another
Practice writing SQL queries
Practicing writing SQL queries will help you improve your understanding of SQL and prepare you for the challenges of the course.
Browse courses on SQL
Show steps
  • Find a collection of SQL practice problems
  • Attempt to solve the problems on your own
  • Review your solutions and identify areas for improvement
Create a diagram of the data flow
Creating a diagram of the data flow will help you visualize the process of data replication from Cloud SQL to BigQuery.
Browse courses on Data Flow
Show steps
  • Identify the source and destination databases
  • Map out the data flow between the databases
  • Create a visual representation of the data flow
Practice configuring Striim for data replication
Configure Striim to replicate data from Cloud SQL for MySQL to BigQuery to gain hands-on experience with the process.
Show steps
  • Set up a Cloud SQL for MySQL instance
  • Set up a BigQuery dataset and table
  • Configure Striim using a combination of YAML and SQL
  • Start the replication process
  • Monitor the replication process and make adjustments as needed
Volunteer to help with a data migration project
Volunteering to help with a data migration project will provide you with hands-on experience and help you apply the concepts you learn in the course.
Browse courses on Data Migration
Show steps
  • Find a data migration project to volunteer for
  • Contact the project lead and express your interest
  • Complete the tasks assigned to you
Build a data pipeline to replicate data from Cloud SQL to BigQuery
Building a data pipeline to replicate data from Cloud SQL to BigQuery will allow you to apply the concepts you learn in the course to a real-world problem.
Browse courses on Data Pipeline
Show steps
  • Design the data pipeline
  • Implement the data pipeline
  • Test the data pipeline
  • Deploy the data pipeline
Develop a data replication pipeline using Striim
Create a complete data replication pipeline using Striim to demonstrate your understanding of the concepts and techniques covered in this course.
Show steps
  • Design the data replication pipeline
  • Implement the pipeline using Striim
  • Test and evaluate the pipeline's performance
  • Document the pipeline and its implementation
Build a real-world data replication application
Apply your knowledge by building a data replication application that addresses a real-world need.
Show steps
  • Identify a business problem that requires data replication
  • Design and implement a data replication solution using Striim
  • Deploy and monitor the solution
  • Evaluate the solution's effectiveness and make improvements as needed

Career center

Learners who complete Online Data Migration to BigQuery using Striim will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts leverage their quantitative skills and knowledge of data management tools and techniques to transform raw data into actionable insights. This course on Online Data Migration to BigQuery using Striim can provide Data Analysts with valuable hands-on experience in using Striim, a popular tool for continuous data replication from Cloud SQL for MySQL to BigQuery. They will learn how to set up and manage data pipelines, ensuring the efficient and reliable movement of data between different systems.
Database Administrator
Database Administrators are responsible for the maintenance and performance of an organization's databases. They ensure that data is stored, organized, and retrieved efficiently and securely. This course on Online Data Migration to BigQuery using Striim can be beneficial for Database Administrators as it provides practical experience in using Striim to migrate data from Cloud SQL for MySQL to BigQuery. They will gain insights into the challenges and best practices involved in data migration, enabling them to enhance their database management skills.
Data Engineer
Data Engineers design, build, and maintain data pipelines. They are responsible for ensuring the efficient and reliable movement of data between different systems. This course on Online Data Migration to BigQuery using Striim can provide Data Engineers with valuable hands-on experience in using Striim, a popular tool for continuous data replication from Cloud SQL for MySQL to BigQuery. They will learn how to set up and manage data pipelines, gaining insights into the challenges and best practices involved in data migration.
Big Data Engineer
Big Data Engineers design, build, and maintain big data systems that handle vast amounts of data. They are responsible for ensuring the efficient and reliable storage, processing, and analysis of data. This course on Online Data Migration to BigQuery using Striim can provide Big Data Engineers with a deeper understanding of data migration techniques and tools. They will learn how to use Striim to replicate data from Cloud SQL for MySQL to BigQuery, gaining valuable experience in managing and processing big data pipelines.
Data Architect
Data Architects design and manage the architecture of data systems, ensuring that data is stored, organized, and accessed in a way that meets the organization's needs. This course on Online Data Migration to BigQuery using Striim can provide Data Architects with insights into the challenges and best practices involved in data migration. They will learn how to use Striim to replicate data from Cloud SQL for MySQL to BigQuery, gaining valuable experience in designing and implementing data pipelines.
Data Scientist
Data Scientists use statistical and machine learning techniques to extract insights from data. They work closely with data engineers to ensure the availability and quality of data for analysis. This course on Online Data Migration to BigQuery using Striim can be beneficial for Data Scientists as it provides hands-on experience in using Striim to replicate data from Cloud SQL for MySQL to BigQuery. They will gain a better understanding of data migration techniques and tools, enabling them to work more effectively with data engineers.
Software Engineer
Software Engineers design, develop, and maintain software applications. They are responsible for ensuring the functionality, reliability, and performance of software systems. This course on Online Data Migration to BigQuery using Striim can provide Software Engineers with a better understanding of data migration techniques and tools. They will learn how to use Striim to replicate data from Cloud SQL for MySQL to BigQuery, gaining valuable experience in working with data systems.
Cloud Architect
Cloud Architects design and manage cloud computing environments. They are responsible for ensuring the security, reliability, and scalability of cloud-based systems. This course on Online Data Migration to BigQuery using Striim can provide Cloud Architects with a deeper understanding of data migration techniques and tools in the cloud. They will learn how to use Striim to replicate data from Cloud SQL for MySQL to BigQuery, gaining valuable experience in managing and migrating data in the cloud.
Business Analyst
Business Analysts help organizations understand their business needs and develop solutions to improve their performance. They work closely with stakeholders to gather requirements, analyze data, and make recommendations. This course on Online Data Migration to BigQuery using Striim may be useful for Business Analysts as it provides an overview of data migration techniques and tools. They will gain a better understanding of how data is stored, organized, and accessed, enabling them to make more informed decisions about data management and analysis.
Project Manager
Project Managers plan, execute, and control projects to ensure their successful completion. They are responsible for managing resources, timelines, and budgets. This course on Online Data Migration to BigQuery using Striim may be useful for Project Managers as it provides insights into the challenges and best practices involved in data migration projects. They will learn how to manage data migration teams, mitigate risks, and ensure the successful delivery of data migration projects.
Data Governance Specialist
Data Governance Specialists develop and implement policies and procedures to ensure the proper management of data. They work closely with stakeholders to define data standards, manage data access, and ensure data security. This course on Online Data Migration to BigQuery using Striim may be useful for Data Governance Specialists as it provides an overview of data migration techniques and tools. They will gain a better understanding of how data is stored, organized, and accessed, enabling them to make more informed decisions about data governance.
IT Manager
IT Managers plan, organize, and direct the activities of an organization's IT department. They are responsible for ensuring the efficient and effective use of IT resources. This course on Online Data Migration to BigQuery using Striim may be useful for IT Managers as it provides insights into the challenges and best practices involved in data migration projects. They will learn how to manage data migration teams, mitigate risks, and ensure the successful delivery of data migration projects.
Database Developer
Database Developers design and develop databases to meet the needs of an organization. They work closely with database administrators to ensure the performance and scalability of databases. This course on Online Data Migration to BigQuery using Striim may be useful for Database Developers as it provides hands-on experience in using Striim to replicate data from Cloud SQL for MySQL to BigQuery. They will gain a better understanding of data migration techniques and tools, enabling them to work more effectively with data engineers and database administrators.
IT Specialist
IT Specialists provide technical support and assistance to users of IT systems. They resolve technical issues, install and maintain software, and provide training to users. This course on Online Data Migration to BigQuery using Striim may be useful for IT Specialists as it provides an overview of data migration techniques and tools. They will gain a better understanding of how data is stored, organized, and accessed, enabling them to provide more effective support to users.
Data Management Analyst
Data Management Analysts help organizations manage their data assets. They develop and implement data management strategies, policies, and procedures. This course on Online Data Migration to BigQuery using Striim may be useful for Data Management Analysts as it provides an overview of data migration techniques and tools. They will gain a better understanding of how data is stored, organized, and accessed, enabling them to make more informed decisions about data management.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Online Data Migration to BigQuery using Striim.
Comprehensive guide to dimensional modeling, which widely used technique for designing data warehouses. It provides insights into the principles and best practices of dimensional modeling, which is beneficial for understanding the course's focus on data migration and storage.
Hands-on guide to data science using R. It provides practical examples and exercises for data exploration, data analysis, and data visualization, which are essential skills for working with data in BigQuery.
Provides a comprehensive overview of data visualization techniques and best practices. It covers topics such as data visualization principles, chart types, and data storytelling, which is beneficial for understanding how to effectively present and communicate data insights.
Provides a comprehensive overview of data warehousing, including design, construction, and maintenance. It valuable resource for anyone who is involved in data warehousing projects.
Provides a business-oriented perspective on data science and data analytics. It explains how to use data to make better decisions and create value for organizations.
Provides a practical introduction to exploratory data analysis using R. It covers techniques for data exploration, visualization, and summarization, which is essential for understanding how to work with data and derive insights from it.
Provides a practical guide to data modeling, including techniques, tools, and best practices. It valuable resource for anyone who is involved in data modeling projects.
Provides a practical guide to big data, including concepts, technologies, and use cases. It valuable resource for anyone who wants to learn more about big data and how to use it for business advantage.
Provides a friendly introduction to data science, including concepts, techniques, and tools. It valuable resource for anyone who wants to learn more about data science and how to use it for business advantage.
Provides a friendly introduction to machine learning, including concepts, techniques, and tools. It valuable resource for anyone who wants to learn more about machine learning and how to use it for business advantage.
Provides a friendly introduction to cloud computing, including concepts, technologies, and use cases. It valuable resource for anyone who wants to learn more about cloud computing and how to use it for business advantage.

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