Data Engineering patterns on the cloud How to solve common data engineering problems with cloud services

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English | 2022 | ISBN: NA | 303 Pages | PDF, EPUB | 28.3 MB

Doing data eeering without the cloud is hard to imagine nowadays. Does it mean, each cloud provider is different? Well, yes, each of them has its own specificities but it doesn't mean they're completely different. They all support several common data eeering patterns that you will find in the book classified in 7 categories: data processing, data storage, data security, data warehouse, data management, data orchestration and data transfer. This organization and the explanation of each pattern will help you understand a new cloud provider easier, whenever you come from AWS, Azure, or GCP environment.

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