Data Science on the google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning
Author: Valliappa Lakshmanan
Publisher finelybook 出版社: O’Reilly Media; 2nd edition (May 3, 2022)
Language 语言: English
Print Length 页数: 459 pages
ISBN-10: 1098118952
ISBN-13: 9781098118952
Book Description
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP.
Throughout this updated second edition, you’ll work through a sample business decision Author: employing a variety of data science approaches. Follow along Author: building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way.
You’ll learn how to:
Employ best practices in building highly scalable data and ML pipelines on google Cloud
Automate and schedule data ingest using Cloud Run
Create and populate a dashboard in Data Studio
Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery
Conduct interactive data exploration with BigQuery
Create a Bayesian model with Spark on Cloud Dataproc
Forecast time series and do anomaly detection with BigQuery ML
Aggregate within time windows with Dataflow
Train explainable machine learning models with Vertex AI
Operationalize ML with Vertex AI Pipelines
