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BigQuery Fundamentals for Snowflake Professionals

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BigQuery Fundamentals for Snowflake Professionals

Instructor: Google Cloud Training

2,924 already enrolled

Included with

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6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

6 hours to complete

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Describe BigQuery’s architecture, resource provisioning, and data definition model.
Create, secure, and share BigQuery data assets using best practices.
Implement common patterns and best practices for designing schemas, ingesting data, and querying data in BigQuery.
Compare and contrast the differences and commonalities between Snowflake and BigQuery.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English

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There are 6 modules in this course

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Snowflake, you also learn about similarities and differences between Snowflake and BigQuery to help you get started with data warehouses in BigQuery.

This introductory module summarizes the key details of BigQuery architecture and resource provisioning including how BigQuery utilizes slots to execute SQL queries and workload management in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences between Snowflake and BigQuery architecture and resource provisioning to help you get started with BigQuery.

What's included

1 reading1 assignment1 app item1 plugin

This module summarizes the key details of BigQuery’s resource hierarchy and data definition model, including how to create datasets and tables in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences between the Snowflake and BigQuery resource hierarchies and primary data types to help you start working with data in BigQuery.

What's included

1 reading1 assignment

This module summarizes the key details of the Google Cloud Identity and Access Management (IAM) model, including how roles and permissions are applied to datasets and tables in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in roles and permissions between Snowflake and BigQuery to help you start securing and sharing your data in BigQuery.

What's included

1 reading1 assignment1 app item

This module summarizes the primary options and best practices for ingesting data into BigQuery, including batch data loading, streaming ingestion, and queries to external data sources. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in data ingestion options between Snowflake and BigQuery to help you start reading and loading your data into BigQuery.

What's included

1 reading1 assignment

This module summarizes common patterns and best practices for designing and optimizing table schemas in BigQuery, including the use of nested and repeated fields, partitioning, and clustering. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in schema usage and design between Snowflake and BigQuery to help you start structuring and optimizing your data in BigQuery.

What's included

1 reading1 assignment1 app item

This module summarizes the key features and operations of the Google Standard SQL dialect used in BigQuery and best practices for optimizing query performance and controlling costs in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in the SQL dialects and features between Snowflake and BigQuery to help you start running and optimizing queries in BigQuery.

What's included

1 reading1 assignment1 app item

Instructor

Google Cloud Training

Google Cloud

2,113 Courses 4,016,582 learners

Offered by

Google Cloud

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.