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

Importing message data into BigQuery

To import messages into BigQuery in batch mode, you can use the gcloud utility to log all the messages retrieved from the Cloud Pub/Sub to a file. Then you can upload the file to Google Cloud Storage and import data from the file to the BigQuery table. The following section provides a walkthrough of this scenario. This section uses the same Pub/Sub topic used in the previous section and uses the same Pub/Sub subscriber for pulling messages. Publish some sample messages to the Pub/Sub topic before running the commands given in this section.

Schedule a job to call the following command at specified intervals to retrieve the message from Cloud Pub/Sub, and append it to a local file. Replace the subscriber, message attributes, and target filename as per your project. The following command writes the messages to the messages.csv file: