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Google Cloud Training

Hi again! This is the second course of the Google Cloud Data Analytics Certificate. Get cozy with the key components of data governance, normalized and star schemas, data catalogs, and data lakehouse architecture.

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What's inside

Syllabus

Introduction to data management and storage in the cloud
Unlock the secrets of data organization in the cloud! In this module, you'll dive into the different forms data can take, how to store it, and the magic of moving it around. (Think of APIs and connectors as your data transport wizards!) Get ready to understand the building blocks of a well-managed data system.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops data management skills, which are core skills for data governance and organization
Teaches core components of data governance, such as schemas
Emphasizes industry-standard practices, such as data lakehouse architecture
Taught by Google Cloud Training, who are recognized for their expertise in data governance
Provides hands-on labs to reinforce concepts learned
Covers normalized and star schemas, which are relevant to the data analytics industry

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Reviews summary

Essential cloud data management and storage

According to learners, this course provides a solid foundation in cloud data management, particularly within the Google Cloud Platform (GCP) ecosystem. Students frequently highlight the practical, hands-on labs, especially those involving BigQuery and Dataplex, as highly valuable for gaining real-world experience. The coverage of data governance, data lakehouse architecture, and schema design is consistently praised for clarity and insight. While generally well-structured and comprehensive, some express a desire for more in-depth coverage on topics like data movement strategies or advanced SQL, and occasional difficulty for absolute beginners without prior database knowledge.
Excellent for professionals pursuing Google Cloud Data Analytics Certificate.
"This course is a must-take for anyone serious about a cloud data career."
"I'm taking this as part of the Google Cloud Data Analytics Certificate and it seamlessly builds on the first course."
"Definitely recommend for anyone starting with cloud data."
Covers essential data governance, schemas, and lakehouse architecture.
"I particularly appreciated the modules on data governance and data lakehouse architecture."
"I found the sections on data cataloging and schema design particularly insightful."
"This course covers important topics, providing a solid foundation for cloud data management."
Provides valuable hands-on experience with BigQuery and Dataplex.
"The BigQuery and Dataplex labs were incredibly helpful for hands-on experience."
"The practical exercises using Google Cloud tools are highly effective."
"The hands-on labs are the strongest part and genuinely help reinforce theoretical concepts."
Some content could benefit from more advanced examples and detail.
"The content on data migration and APIs was a bit high-level, I would have liked more practical examples."
"I was hoping for more advanced SQL examples within BigQuery for querying optimization."
"I felt some of the content related to data security seemed a bit light."
Challenging for beginners, often assuming some prior database background.
"I found some of the explanations around normalized vs. star schemas to be a bit confusing without prior database knowledge."
"Some explanations could have been more granular for absolute beginners in data engineering."
"The pace was too fast in some modules, especially for someone new to cloud concepts."

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 Data Management and Storage in the Cloud with these activities:
Read 'Data Management for Dummies' by Lillian Pierson
This book provides a comprehensive overview of data management concepts
Show steps
  • Purchase or borrow the book
  • Read the book and take notes
  • Complete the exercises at the end of each chapter
Review a course on SQL basics using a video platform
Reviewing these concepts will provide a stronger foundation for the data storage topics addressed in this course
Browse courses on SQL
Show steps
  • Search for a video platform with a free course on SQL
  • Enroll in the course within the video platform
  • Take detailed notes on core concepts and techniques
Complete SQL queries in a practice environment
Completing these exercises will strengthen understanding of SQL and prepare students for work in this course
Browse courses on SQL
Show steps
  • Find a SQL practice environment
  • Complete at least 10 practice problems on joins, aggregations, and subqueries
  • Review documentation and examples to fill any knowledge gaps
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow a tutorial on data lakehouse architecture
This tutorial will provide a practical understanding of data lakehouse architecture
Browse courses on Data Lakehouse
Show steps
  • Find a tutorial on data lakehouse architecture
  • Follow the tutorial step-by-step
  • Take notes and ask questions in the tutorial's forum
Attend a workshop on data governance best practices
Attending a workshop will provide hands-on experience with data governance best practices
Browse courses on Data Governance
Show steps
  • Search for and register for a workshop on data governance best practices
  • Attend the workshop and actively participate
  • Apply the lessons learned from the workshop to your own work
Explore a real-world data set using a data exploration tool
This project will introduce students to the practical application of data organization and storage
Browse courses on Data Organization
Show steps
  • Choose a real-world data set
  • Upload the data set to a data exploration tool
  • Clean and organize the data
  • Create visualizations to explore the data
Create a blog post or article about data governance
Writing a blog post or article on this topic will reinforce the principles and best practices of data governance
Browse courses on Data Governance
Show steps
  • Research data governance principles
  • Identify key concepts and best practices
  • Write a blog post or article that is both informative and engaging
  • Share your blog post or article on social media or other platforms
Mentor a junior data analyst on data organization and storage
Mentoring others is a powerful way to deepen understanding and reinforce concepts in this course
Browse courses on Data Organization
Show steps
  • Identify a junior data analyst who is interested in learning about data organization and storage
  • Set up regular meetings to discuss data organization and storage concepts and principles
  • Provide guidance and support as the mentee applies these concepts to their own work

Career center

Learners who complete Data Management and Storage in the Cloud will develop knowledge and skills that may be useful to these careers:

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