Architecting Data and Machine Learning Platforms
Enable Analytics and Ai-Driven Innovation in the Cloud
$94.83
- Paperback
300 pages
- Release Date
30 January 2024
Summary
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.
Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data life…
Book Details
| ISBN-13: | 9781098151614 |
|---|---|
| ISBN-10: | 1098151615 |
| Author: | Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 300 |
| Release Date: | 30 January 2024 |
| Weight: | 632g |
| Dimensions: | 233mm x 178mm |
About The Author
Marco Tranquillin
Marco leads a Principal Architect and Customer Engineering team at Google Cloud, helping Italian financial and insurance firms adopt and leverage cloud data technologies to solve business problems. Previously, he led the European Data Analytics practice within Google Cloud and has over 10 years of experience working in complex IT cloud projects for many global firms.
Lak works with management and data teams across a range of industries, helping them employ data and AI-driven innovation to grow their businesses and increase value. Prior to this, Lak was the Director for Data Analytics and AI Solutions on Google Cloud and a Research Scientist at NOAA. He is a co-author of Data Science on the Google Cloud Platform, BigQuery: The Definitive Guide, and Machine Learning Design Patterns, all published by O’Reilly.
Firat is an adjunct professor at the University of Manchester and a Senior Product Manager in Google Cloud. Firat has over 20 years of experience in designing and delivering bespoke information systems for some of the world’s largest research, education, telecommunications, finance, and retail organizations. Following roles within National Supercomputing Services and National Centre for Text Mining, he has over 30 publications in the areas of Parallel Computing, Big Data, Artificial Intelligence, and Computer Communications.
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