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. T
Data Science on the Google Cloud Platform: Implementing End-to-end Real-time Data Pipelines: from Ingest to Machine Learning
โ Scribed by Lakshmanan, Valliappa
- Publisher
- Oreilly & Associates Inc;Ingram Publisher Services [distributor, O'Reilly Media, Incorporated
- Year
- 2018;2017
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Annotation
โฆ Subjects
Computers--Systems Architecture--Distributed Systems & Computing;Electronic Data Processing--Distributed Processing;Electronic books;Electronic Data Processing -- Distributed Processing;Computers -- Systems Architecture -- Distributed Systems & Computing
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