Valliappa Lakshmanan

Data Science on the Google Cloud Platform (eBook, ePUB)

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

• Format: ePub

Produktbeschreibung

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, youll 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.Youll learn how to:Automate and schedule data ingest, using an App Engine applicationCreate and populate a dashboard in Google Data StudioBuild a real-time analysis pipeline to carry out streaming analyticsConduct interactive data exploration with Google BigQueryCreate a Bayesian model on a Cloud Dataproc clusterBuild a logistic regression machine-learning model with SparkCompute time-aggregate features with a Cloud Dataflow pipelineCreate a high-performing prediction model with TensorFlowUse your deployed model as a microservice you can access from both batch and real-time pipelines

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 404
• Erscheinungstermin: 12. Dezember 2017
• Englisch
• ISBN-13: 9781491974513
• Artikelnr.: 50518378