{"product_id":"data-science-on-the-google-cloud-platform-implementing-end-to-end-real-time-data-pipelines-from-ingest-to-machine-learning-paperback","title":"Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning - Paperback","description":"\u003cp\u003eby \u003cb\u003eValliappa Lakshmanan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLearn 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. \u003c\/p\u003e\u003cp\u003e Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by 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. \u003c\/p\u003e\u003cp\u003e You'll learn how to: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eEmploy best practices in building highly scalable data and ML pipelines on Google Cloud \u003c\/li\u003e\n\u003cli\u003eAutomate and schedule data ingest using Cloud Run \u003c\/li\u003e\n\u003cli\u003eCreate and populate a dashboard in Data Studio \u003c\/li\u003e\n\u003cli\u003eBuild a real-time analytics pipeline using Pub\/Sub, Dataflow, and BigQuery \u003c\/li\u003e\n\u003cli\u003eConduct interactive data exploration with BigQuery \u003c\/li\u003e\n\u003cli\u003eCreate a Bayesian model with Spark on Cloud Dataproc \u003c\/li\u003e\n\u003cli\u003eForecast time series and do anomaly detection with BigQuery ML \u003c\/li\u003e\n\u003cli\u003eAggregate within time windows with Dataflow \u003c\/li\u003e\n\u003cli\u003eTrain explainable machine learning models with Vertex AI \u003c\/li\u003e\n\u003cli\u003eOperationalize ML with Vertex AI Pipelines \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eValliappa (Lak) Lakshmanan is the director of analytics and AI solutions at Google Cloud, where he leads a team building cross-industry solutions to business problems. His mission is to democratize machine learning so that it can be done by anyone anywhere. Lak is the author or coauthor of Practical Machine Learning for Computer Vision, Machine Learning Design Patterns, Data Governance The Definitive Guide, Google BigQuery The Definitive Guide, and Data Science on the Google Cloud Platform.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 459\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.93 x 9.19 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 03, 2022\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51759422046496,"sku":"9781098118952","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/a8ef76a1e12bd959bbfefbee8ea02f4e.webp?v=1780152210","url":"https:\/\/ebocreations.com\/products\/data-science-on-the-google-cloud-platform-implementing-end-to-end-real-time-data-pipelines-from-ingest-to-machine-learning-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}