Book Image

Learning Google BigQuery

By : Thirukkumaran Haridass, Mikhail Berlyant, Eric Brown
Book Image

Learning Google BigQuery

By: Thirukkumaran Haridass, Mikhail Berlyant, Eric Brown

Overview of this book

Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you. This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems.
Table of Contents (9 chapters)
Free Chapter
Google Cloud and Google BigQuery

Date Time Functions

The following function returns current date based on the UTC timezone not local timezone. The date is returned in YYYY-MM-DD. This function is supported in both legacy SQL and standard SQL.


The following function returns current time based on UTC timezone not local timezone. The time is returned in HH:MM:SS format when the query is run in legacy SQL and it is returned with milliseconds when run in standard SQL.


The following function returns the current date time at seconds level in UTC timezone. 


The DATE function extracts the date from given TIMESTAMP value. The following query returns the current date based on UTC timezone.


The DATE_ADD function in legacy SQL will add specified time interval to the TIMESTAMP passed to it. The following query...