Google
The Path to Insights: Data Models and Pipelines
Google

The Path to Insights: Data Models and Pipelines

This course is part of Google Business Intelligence Professional Certificate

Taught in English

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Course

Gain insight into a topic and learn the fundamentals

4.7

(384 reviews)

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98%

Advanced level
Designed for those already in the industry
23 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Build data models that answer business questions 

  • Apply the ETL process to workplace scenarios

  • Explore ETL tools

  • Construct a pipeline to deliver necessary data

Details to know

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Assessments

19 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(384 reviews)

|

98%

Advanced level
Designed for those already in the industry
23 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 Data Analysis expertise

This course is part of the Google Business Intelligence Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Google
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There are 4 modules in this course

You’ll start this course by exploring data modeling, common schemas, and database elements. You’ll consider how business needs determine the kinds of database systems that BI professionals implement. Then, you’ll discover pipelines and ETL processes, which are tools that move data and ensure that it’s accessible and useful.

What's included

19 videos16 readings8 quizzes1 discussion prompt3 plugins

You’ll learn more about database systems, including data marts, data lakes, data warehouses, and ETL processes. You’ll also investigate the five factors of database performance: workload, throughput, resources, optimization, and contention. Finally, you’ll consider how to design efficient queries that get the most from a system.

What's included

6 videos7 readings3 quizzes1 discussion prompt2 plugins

You’ll learn about optimization techniques including ETL quality testing, data schema validation, business rule verification, and general performance testing. You’ll also explore data integrity and learn how built-in quality checks defend against potential problems. Finally, you’ll focus on verifying business rules and general performance testing to make sure pipelines meet the intended business need.

What's included

10 videos10 readings5 quizzes2 plugins

You’ll complete an end-of-course project by creating a pipeline process to deliver data to a target table and developing reports based on project needs. You’ll also ensure that the pipeline is performing correctly and that there are built-in defenses against data quality issues.

What's included

5 videos11 readings3 quizzes2 discussion prompts

Instructor

Instructor ratings
4.8 (96 ratings)
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Google
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