Lakshmanan, Valliappa
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning
- ISBN 13:
- 9781098118952
- author:
- Lakshmanan, Valliappa
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2022
- Pages:
- 459
- Dimensions:
- 23.3 x 17.8 x 2.4 centimetres (0
- Genre:
- Computers, Server & Database, General Database,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Build end-to-end data pipelines with Google Cloud Platform and apply sophisticated statistical and machine learning methods to real-world problems. This updated second edition guide shows you how to implement scalable data and ML pipelines, automate data ingest, create dashboards, and build real-time analytics pipelines using cloud-native tools on GCP. You'll learn how to employ best practices for building highly scalable pipelines, automate data ingestion with Cloud Run, create interactive data exploration with BigQuery, and train explainable machine learning models with Vertex AI. The book also covers operationalizing ML with Vertex AI Pipelines, making it an essential resource for data engineers and data scientists working on the Google Cloud Platform. By following along with this hands-on guide, you'll work through a sample business decision and build your own project on GCP to solve real-world data science problems in a collaborative way.
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