You're reading from Machine Learning with BigQuery ML Create, execute, and improve machine learning models in BigQuery using standard SQL queries

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781800560307

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

BigQuery

Concepts

Machine Learning

Author (1):

Alessandro Marrandino

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: Introduction and Environment Setup

2. Chapter 1: Introduction to Google Cloud and BigQuery FREE CHAPTER

3. Chapter 2: Setting Up Your GCP and BigQuery Environment

4. Chapter 3: Introducing BigQuery Syntax

5. Section 2: Deep Learning Networks

6. Chapter 4: Predicting Numerical Values with Linear Regression

7. Chapter 5: Predicting Boolean Values Using Binary Logistic Regression

8. Chapter 6: Classifying Trees with Multiclass Logistic Regression

9. Section 3: Advanced Models with BigQuery ML

10. Chapter 7: Clustering Using the K-Means Algorithm

11. Chapter 8: Forecasting Using Time Series

12. Chapter 9: Suggesting the Right Product by Using Matrix Factorization

13. Chapter 10: Predicting Boolean Values Using XGBoost

14. Chapter 11: Implementing Deep Neural Networks

15. Section 4: Further Extending Your ML Capabilities with GCP

16. Chapter 12: Using BigQuery ML with AI Notebooks

17. Chapter 13: Running TensorFlow Models with BigQuery ML

18. Chapter 14: BigQuery ML Tips and Best Practices

19. Other Books You May Enjoy

Discovering BigQuery SQL

BigQuery supports two different SQL dialects: standard SQL and legacy SQL. In this book, we'll use Standard SQL, but it could be useful to know what Legacy SQL is and how to enable it if you want to test queries coming from legacy applications.

As we have already mentioned, BigQuery was developed as an internal product within Google and was initially realized to process log records. The query engine Dremel was able to support a limited set of SQL operations that are now defined as Legacy SQL.

In the following screenshot, you can see how to change the SQL dialect:

Figure 3.3 – Screenshot of the Query Settings menu to change SQL dialect

By default, the BigQuery UI is configured to use Standard SQL, but you are allowed to change the SQL dialect by using the specific option located in the Query Settings of the BigQuery web interface, or by prefacing your queries with the #legacySQL keyword in the first line of your SQL...