Skip to Content
Cloud Analytics with Google Cloud Platform
book

Cloud Analytics with Google Cloud Platform

by Sanket Thodge
April 2018
Beginner to intermediate content levelBeginner to intermediate
282 pages
9h 53m
English
Packt Publishing
Content preview from Cloud Analytics with Google Cloud Platform

Cloud Dataflow

The main purpose of Cloud Dataflow is to provide real-time transformation and enrich data. It also serves the purpose of reducing complexity. This is yet another component with serverless capabilities and is fully managed.

When to use:

If you want to build a pipeline where you transform data (real-time or batch) before subjecting it to Cloud Pub/Sub, BigQuery, or Machine Learning.

Special features:

  • Auto scales horizontally
  • Unified Programming Model
  • Automated Resource Management

Costing:

Please refer to the following table for details about the costing of Cloud Dataflow for the Iowa region:

Cloud Dataflow Worker Type vCPU  $/hr Memory $ GB/hr Storage—Standard Persistent Disk $ GB/hr Storage—SSD Persistent Disk $ GB/hr
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Science on the Google Cloud Platform

Data Science on the Google Cloud Platform

Valliappa Lakshmanan
Hands-On Machine Learning on Google Cloud Platform

Hands-On Machine Learning on Google Cloud Platform

Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
Google Cloud Cookbook

Google Cloud Cookbook

Rui Santos Costa, Drew Hodun

Publisher Resources

ISBN: 9781788839686Other