Google Cloud
Achieving Advanced Insights with BigQuery
Google Cloud

Achieving Advanced Insights with BigQuery

This course is part of From Data to Insights with Google Cloud Specialization

Taught in English

20,838 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.7

(1,317 reviews)

Beginner level
No prior experience required
7 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Discuss the more advanced functions of SQL on BigQuery.

  • Compare how BigQuery was developed to address scaling limitations in the context of how traditional databases have evolved to handle dataset scale.

  • Identify the fundamental pieces of work that impact BigQuery performance and how to optimize your queries for speed.

  • Identify what Google Cloud and BigQuery tools are available to you to permission-control and share your data.

Details to know

Shareable certificate

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(1,317 reviews)

Beginner level
No prior experience required
7 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the From Data to Insights with Google Cloud Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 7 modules in this course

Overview of what you will learn in this course

What's included

1 video

Deepen your knowledge of SQL on BigQuery by learning about more advanced functions like statistical approximations, analytical window queries, user-defined functions, and WITH clauses.

What's included

6 videos1 quiz1 app item

Walkthrough the evolution of how traditional databases handle dataset scale and compare how BigQuery was developed to address scaling limitations. Deep dive into nested and repeated fields which are a key part of denormalized BigQuery data structures.

What's included

7 videos1 quiz1 app item

Learn the fundamental pieces of work that impact BigQuery performance and how to optimize your queries for speed.

What's included

4 videos1 quiz1 app item

Introducing Vertex AI Workbench -- a key tool in the Data Scientist toolkit -- which enables analysts to collaborate through the use of scalable cloud notebooks.

What's included

1 reading1 app item

Securing and sharing your BigQuery datasets is critical for any organization. Learn what Google Cloud and BigQuery tools are available to you to permission control and share your data.

What's included

1 video1 quiz

Summary of the course ley learning points

What's included

1 video

Instructor

Instructor ratings
4.7 (137 ratings)
Google Cloud Training
Google Cloud
1,293 Courses2,433,221 learners

Offered by

Google Cloud

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4.7

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