Achieving Advanced Insights with BigQuery

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

Instructor: Google Cloud Training

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.

Skills you'll gain

Details to know

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Assessments

4 assignments

Taught in English

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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.

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There are 7 modules in this course

The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.

We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud 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 assignment1 app item

6 videosTotal 23 minutes

Advanced functions (Statistical, analytic, user-defined)7 minutesPreview module
Analytic Functions, WITH clause, and RANK()5 minutes
BigQuery User-Defined Functions (UDFs)1 minute
Sub-query and CTE design3 minutes
Lab Intro: Deriving Insights from Advanced SQL Functions0 minutes
Getting Started with Google Cloud Platform and Qwiklabs4 minutes

1 assignmentTotal 30 minutes

Advanced Functions30 minutes

1 app itemTotal 60 minutes

Deriving Insights from Advanced SQL Functions60 minutes

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 assignment1 app item

7 videosTotal 47 minutes

BigQuery versus traditional relational data architecture10 minutesPreview module
Denormalized, Column-Based Storage4 minutes
Table Sharding7 minutes
Introducing Nested and Repeated Fields3 minutes
Introducing arrays and structs18 minutes
Flattening arrays: Legacy versus Standard1 minute
Module summary1 minute

1 assignmentTotal 30 minutes

BigQuery Architecture30 minutes

1 app itemTotal 60 minutes

Working with JSON, Arrays, and Structs in BigQuery60 minutes

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

What's included

4 videos1 assignment1 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 assignment

Summary of the course ley learning points

What's included

1 video

Instructor

Instructor ratings

4.7 (137 ratings)

Google Cloud Training

Google Cloud

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Reviewed on Jul 12, 2020

I really appreciated all of the labs that went along with this course. They were detailed and thorough and led us through some advanced concepts in a digestible, understandable fashion.

Reviewed on Sep 17, 2018

Useful practical course, especially about performance optimization. Window functions have many options, it would be nice to add window size description with practical examples or links to them.

Reviewed on Jun 26, 2020

This course summed up everything that I learned from the previous two courses. It was very helpful to understand the architecture behind BigQuery.

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