Data Science on the Google Cloud Platform

Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

Nonfiction, Computers, Database Management, Data Processing, Advanced Computing, Programming, Data Modeling & Design
Cover of the book Data Science on the Google Cloud Platform by Valliappa Lakshmanan, O'Reilly Media
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Author: Valliappa Lakshmanan ISBN: 9781491974513
Publisher: O'Reilly Media Publication: December 12, 2017
Imprint: O'Reilly Media Language: English
Author: Valliappa Lakshmanan
ISBN: 9781491974513
Publisher: O'Reilly Media
Publication: December 12, 2017
Imprint: O'Reilly Media
Language: English

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches.

Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.

You’ll learn how to:

  • Automate and schedule data ingest, using an App Engine application
  • Create and populate a dashboard in Google Data Studio
  • Build a real-time analysis pipeline to carry out streaming analytics
  • Conduct interactive data exploration with Google BigQuery
  • Create a Bayesian model on a Cloud Dataproc cluster
  • Build a logistic regression machine-learning model with Spark
  • Compute time-aggregate features with a Cloud Dataflow pipeline
  • Create a high-performing prediction model with TensorFlow
  • Use your deployed model as a microservice you can access from both batch and real-time pipelines
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches.

Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.

You’ll learn how to:

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