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Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud by Valliappa Lakshmanan, Marco Tranquillin, Firat Tekiner is a nonfiction available to read on EtoBox.

What is Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud about?

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 lifecycle in a cloud environment, from ingestion to activation, using real-world enterprise architectures. You'll learn how to transform and modernize familiar solutions, like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. This book shows you how to: • Design a modern cloud native or hybrid data analytics and machine learning platform • Accelerate data-led innovation by consolidating enterprise data in a data platform • Democratize access to enterprise data and allow business teams to extract insights and build AI/ML capabilities • Enable your business to make decisions in real time using streaming pi

Who reads Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud?

Author

Valliappa Lakshmanan, Marco Tranquillin, Firat Tekiner

Publisher

O'Reilly Media, Incorporated

Published

2023

Language

EN

ISBN

9781098151614

Category

nonfiction

Subjects

Computer Science, Artificial Intelligence (Ai), Stem