Data Management and Storage in the Cloud
Data Management and Storage in the Cloud
These skills were generated by AI. Do you agree this course teaches these skills?
This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
Course Info
Objectives
- Explain how data is defined and structured in BigQuery and Google Cloud Storage.
- Identify the key components that make up a data lakehouse architecture.
- Explain how partitioning can improve query performance and reduce costs.
- Define key components of data governance.
Prerequisites
N/A
Available languages
English, español (Latinoamérica), and português (Brasil)
What do I do when I finish this course?
After finishing this course, you can explore additional content in your learning path or browse the catalog.
What badges can I earn?
Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
Interested in taking this course with one of our authorized on-demand partners?
Explore Google Cloud content on Coursera and Pluralsight.
Prefer learning with an instructor?
View the public classroom schedule here.
Can I take this course for free?
When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.