All cloud architects need to know how to build data platformsβthe key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and Machine Learning platforms usi
Architecting Data and Machine Learning Platforms
β Scribed by Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner
- Publisher
- O'Reilly Media, Inc.
- Year
- 2023
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
All cloud architects need to know how to build data platforms--the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks.
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All cloud architects need to know how to build data platformsβthe key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms usi
<p>All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way. This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms usi