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Google BigQuery for Data and ML Engineers

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Google BigQuery for Data and ML Engineers

Instructors: Pearson

Included with

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1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Master BigQuery’s serverless architecture, data warehousing, and advanced SQL to efficiently manage and analyze large datasets.
Learn to build, evaluate, and deploy machine learning models directly within BigQuery, covering essential techniques.
Explore the cutting-edge applications of generative AI in BigQuery.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

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There is 1 module in this course

Learn how to use Google BigQuery to enhance your data engineering and machine learning skills in this practical, instructor-led course. Taught by experienced cloud architect and author Dan Sullivan, you’ll work with BigQuery’s serverless architecture, advanced SQL, and data warehousing features to efficiently manage and analyze large datasets.

This course is suitable for both beginners and those with experience. You’ll get hands-on practice with data ingestion, transformation, and building reliable data pipelines. The curriculum covers how to create, evaluate, and deploy machine learning models within BigQuery, as well as recent generative AI applications. Through real-world projects and clear instruction, you’ll build the skills needed to use BigQuery in your day-to-day work. Whether you’re new to the field or looking to expand your knowledge, this course offers practical tools and techniques for data engineering and machine learning.

This module provides a comprehensive overview of BigQuery for data engineering and machine learning. It covers BigQuery’s architecture, data ingestion (batch and streaming), data quality checks, and data exploration using SQL, Python, and Spark. The module then explores machine learning workflows, including classification, regression, and time series modeling directly in BigQuery. It concludes with practical applications of generative AI and text processing in BigQuery, featuring hands-on labs throughout to reinforce learning.

What's included

34 videos8 assignments

34 videosTotal 262 minutes

Introduction1 minute
Topics0 minutes
Serverless, Multi-function Data Platform12 minutes
Architecture of BigQuery21 minutes
Data Engineering and Machine Learning in BigQuery8 minutes
Topics0 minutes
Batch Data Ingestion13 minutes
Lab Assignment: Batch Data Ingestion6 minutes
Streaming Ingestion22 minutes
Lab Assignment: Ingest Streaming Data7 minutes
Topics1 minute
SQL for Data Quality Checks13 minutes
Lab Assignment: Data Quality Checks10 minutes
DataFrames for Data Exploration14 minutes
Lab Assignment: Data Exploration4 minutes
Cloud Dataproc Spark and BigQuery8 minutes
Topics0 minutes
Introduction to Machine Learning12 minutes
Machine Learning Workflow11 minutes
Topics1 minute
Building and Evaluating a Classification Model14 minutes
Lab Assignment: Build a Classification Model14 minutes
Building and Evaluating a Regression Model9 minutes
Lab Assignment: Build a Regression Model5 minutes
Topics0 minutes
Introduction to Time Series Modeling5 minutes
Building Time Series Model in SQL10 minutes
Lab Building a Time Series Model in SQL5 minutes
Topics1 minute
Generative AI Services in Google Cloud6 minutes
Introduction to Generative AI in BigQuery7 minutes
Lab Using Generative AI tools in BigQuery6 minutes
Working with Text in BigQuery15 minutes
Google BigQuery for Data and ML Engineers: Summary1 minute

8 assignmentsTotal 100 minutes

BigQuery for Data Engineering and Machine Learning Engineering Quiz10 minutes
Data Ingestion in BigQuery Quiz10 minutes
Data Qualtiy and Data Exploration Quiz10 minutes
Machine Learning with BigQuery Quiz10 minutes
Building Classification and Regression Models in BigQuery Quiz10 minutes
Building a Time Series Predictive Model Quiz10 minutes
Using Generative AI with BigQuery Quiz10 minutes
End of Course Assessment30 minutes

Instructors

Pearson

268 Courses53,346 learners

Offered by

Pearson

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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.