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

Message output formats

Messages in the Cloud Pub/Sub format need to be exported to various formats for applications to consume them or import them into another data source. The following section explains the various options available for exporting a message in various formats. Create a new Pub/Sub topic in your project for this demo and add a subscriber to that topic. Note down the topic name and subscriber name for use in the following command. This demo uses pubsubTopic as its topic name and pubSubTopicSubscriber as its topic subscriber name.

Run the following command to publish a message to the intended topic in Google Cloud Pub/Sub. Replace Message Text and attribute in the message as per your project:

gcloud beta pubsub topics publish pubsubTopic --message "Message Text" --attribute="EmployeeID=20,FirstName=Vinod,LastName=Kumar,DateOfJoining=2016-02-16...