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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Learn how to improve your database from a performance and cost perspective

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Meant for people who are expected to already know what they're doing and looking to gain expertise
Appears to teach tools that many companies and organizations use
Focuses on improving database performance and cost

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Reviews summary

Practical bigquery optimization for professionals

According to learners, this course provides an incredibly practical and hands-on experience for optimizing BigQuery. Students frequently highlight the useful labs, which offer real-world scenarios and effectively reinforce learning. The curriculum thoroughly covers BigQuery cost optimization and query performance, helping to demystify complex architecture and pricing models. While widely praised for its utility, some learners note it assumes prior familiarity with advanced SQL concepts and BigQuery fundamentals, potentially making it challenging for absolute beginners. Experienced users might find it serves more as a solid intermediate foundation rather than an advanced deep dive.
Provides in-depth coverage of BigQuery performance and cost.
"I learned so much about optimizing BigQuery costs and query performance."
"This course covers BigQuery optimization in depth. From understanding slot usage to efficient table design and pricing models, everything was covered thoroughly."
"Very useful content for optimizing queries and understanding BigQuery's pricing model."
Offers practical, real-world application through engaging labs.
"The labs are the strongest part, offering real-world scenarios."
"Excellent hands-on experience! The explanations of BigQuery architecture and how it impacts performance were very clear."
"Absolutely fantastic! ... The labs reinforced learning perfectly. A true gem for professionals."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
Some demonstrations felt rushed; theoretical explanations could be deeper.
"Some of the demonstrations felt a little rushed, and I had to pause frequently to follow along."
"I felt the theoretical explanations could have been deeper."
A solid foundation for intermediate users, not for advanced experts.
"Honestly, I was hoping for more advanced techniques. This course feels more like an intermediate introduction."
"If you already know BigQuery well, you might not find much new here."
"I gained a solid foundation, which was perfect for my intermediate skill level."
Requires foundational SQL and BigQuery experience for optimal learning.
"I found some parts a bit fast-paced, especially if you're not already familiar with advanced SQL concepts."
"It assumes a certain level of familiarity with BigQuery that I didn't quite have. For true beginners, it might be challenging."
"It's best if you have some prior experience with SQL and cloud databases. Not for absolute beginners."

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 Performance and Cost Optimization with BigQuery with these activities:
Review SQL basics
Review the basics of SQL to ensure a solid foundation for the course.
Browse courses on SQL
Show steps
  • Read the documentation for SQL basics.
  • Take a practice quiz on SQL.
Follow tutorials on BigQuery performance optimization
Enhance your understanding of BigQuery performance optimization techniques through guided tutorials.
Browse courses on BigQuery
Show steps
  • Identify the Google Cloud tutorials on BigQuery performance optimization.
  • Follow the tutorials step-by-step and implement the techniques in your own BigQuery project.
Participate in a study group on BigQuery performance tuning
Engage with peers to exchange knowledge and insights on BigQuery performance tuning strategies.
Browse courses on BigQuery
Show steps
  • Find or create a study group focused on BigQuery performance tuning.
  • Actively participate in discussions and share your experiences.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice cost optimization exercises
Solidify your grasp of BigQuery cost optimization principles through practical exercises.
Browse courses on Cost Optimization
Show steps
  • Find practice problems or exercises on BigQuery cost optimization.
  • Solve the problems and analyze your results.
Volunteer as a BigQuery support forum contributor
Enhance your knowledge and help others by contributing to BigQuery support forums.
Browse courses on BigQuery
Show steps
  • Join a BigQuery support forum as a contributor.
  • Answer questions and provide support to other users.
Design a cost-optimized BigQuery schema
Apply your knowledge by designing a cost-optimized BigQuery schema for a given use case.
Browse courses on BigQuery
Show steps
  • Identify a use case and define the data requirements.
  • Design a schema that meets the requirements while minimizing storage and compute costs.
Write a blog post on BigQuery best practices
Reinforce your understanding by sharing your knowledge and insights on BigQuery best practices.
Browse courses on BigQuery
Show steps
  • Identify key best practices for BigQuery usage.
  • Write a blog post detailing these practices and providing examples.

Career center

Learners who complete Performance and Cost Optimization with BigQuery will develop knowledge and skills that may be useful to these careers:
Database Engineer
A Database Engineer plans and executes database creation, deployment, maintenance, and performance tuning. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into improving database performance and optimizing costs. By understanding how to optimize database performance and costs, Database Engineers can ensure optimal database operations and resource utilization.
Business Intelligence Analyst
A Business Intelligence Analyst collects and analyzes data to provide insights and recommendations to businesses. The Performance and Cost Optimization with BigQuery course may be helpful for this role as it provides skills in optimizing database performance and costs. By optimizing databases, Business Intelligence Analysts can ensure efficient and cost-effective data processing and analysis, enabling accurate and timely business insights.
Data Analyst
A Data Analyst collects, processes, and analyzes data to identify trends and patterns. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs. By understanding how to optimize databases, Data Analysts can ensure efficient and cost-effective data processing and analysis, leading to accurate and timely data-driven insights.
Database Administrator
A Database Administrator manages and maintains database systems, ensuring optimal performance and security. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into improving database performance and optimizing costs. By understanding how to optimize database performance and costs, Database Administrators can ensure efficient and cost-effective database operations.
Big Data Engineer
A Big Data Engineer designs, builds, and maintains big data systems and infrastructure. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs in a big data context. This course can help Big Data Engineers understand how to optimize databases for scalability, reliability, and cost-effectiveness in big data environments.
Data Architect
A Data Architect designs and manages data architecture, ensuring data integrity and accessibility. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs. By understanding how to optimize databases, Data Architects can ensure efficient and cost-effective data management and architecture, leading to optimal data utilization and business insights.
Data Scientist
A Data Scientist uses scientific methods and algorithms to extract insights from data. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs. By understanding how to optimize databases, Data Scientists can ensure efficient and cost-effective data processing and analysis, leading to accurate and timely data-driven insights.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance for software applications. By understanding how to optimize databases, Software Engineers can ensure efficient and scalable data management within software applications, leading to optimal performance and user experience.
Cloud Architect
A Cloud Architect designs and manages cloud computing infrastructure and services. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs in a cloud environment. By understanding how to optimize databases in the cloud, Cloud Architects can ensure efficient and cost-effective cloud infrastructure and services, leading to optimal performance and resource utilization.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs in data pipelines and infrastructure. By understanding how to optimize databases, Data Engineers can ensure efficient and cost-effective data management and processing, leading to timely and accurate data delivery.
IT Director
An IT Director manages and oversees the planning, implementation, and maintenance of IT systems and infrastructure. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs in an IT environment. By understanding how to optimize databases, IT Directors can ensure efficient and cost-effective IT operations, leading to optimal system performance and resource utilization.
DBA Manager
A DBA Manager oversees and manages a team of database administrators and engineers. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs. By understanding how to optimize databases, DBA Managers can provide strategic guidance and leadership to their team, ensuring efficient and cost-effective database management and operations.
Database Consultant
A Database Consultant provides expertise and advice on database management and optimization. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs. By understanding how to optimize databases, Database Consultants can provide valuable guidance and recommendations to clients, helping them achieve optimal database performance and cost-effectiveness.
Research Scientist
A Research Scientist conducts scientific research and develops new technologies. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs for research purposes. By understanding how to optimize databases, Research Scientists can ensure efficient and cost-effective data management and analysis, leading to accurate and timely research findings.
Product Manager
A Product Manager manages and oversees the development and lifecycle of software products. The Performance and Cost Optimization with BigQuery course may be useful for this role as it provides insights into optimizing database performance and costs for software products. By understanding how to optimize databases, Product Managers can make informed decisions about product features and architecture, ensuring cost-effective and efficient data management within the product.

Reading list

We've selected 12 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 Performance and Cost Optimization with BigQuery.
A comprehensive guide to MySQL performance tuning and optimization, covering topics such as indexing, query optimization, replication, and backups. valuable resource for anyone looking to improve the performance and efficiency of their MySQL database.
Provides a comprehensive overview of the principles and patterns for designing and building scalable, reliable, and performant data-intensive applications. It covers topics such as data modeling, data storage, data processing, and data analysis, and it valuable resource for anyone who wants to learn more about building data-driven applications.
Provides a good overview of Big Data and Machine Learning on Google Cloud Platform, and includes a solid section on BigQuery that will serve as background for this course.
Provides a practical guide to using Java for big data analytics. It covers topics such as data ingestion, data processing, data analysis, and data visualization, and it valuable resource for anyone who wants to learn more about using Java for big data analytics.
A practical guide to using MapReduce for data-intensive text processing, covering topics such as text mining, natural language processing, and machine learning. valuable resource for anyone looking to learn about using MapReduce for text processing tasks.
A practical guide to using Python for deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. valuable resource for anyone looking to learn about using Python for deep learning tasks.
A comprehensive guide to big data analytics, covering topics such as data storage, processing, analysis, and visualization. valuable resource for anyone looking to learn about big data analytics.
A practical guide to data science, covering topics such as data collection, cleaning, analysis, and visualization. valuable resource for anyone looking to learn about data science.
A practical guide to using Fastai and PyTorch for deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. valuable resource for anyone looking to learn about using Fastai and PyTorch for deep learning tasks.
A comprehensive guide to reinforcement learning, covering topics such as Markov decision processes, value functions, and policy gradients. valuable resource for anyone looking to learn about reinforcement learning.
A comprehensive guide to natural language processing using Python, covering topics such as text classification, text clustering, and text generation. valuable resource for anyone looking to learn about using Python for natural language processing.

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