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Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud by Marco Tranquillin, Valliappa Lakshmanan, 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 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 using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from ingestion to activation in a cloud environment using real-world enterprise architectures. You'll learn how to transform, secure, 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. You'll learn how to: Design a modern and secure cloud native or hybrid data analytics and machine learning platform Accelerate data-led innovation by consolidating enterprise data in a governed, scalable, and resilient data platform Democratize access to enterprise data and govern how business teams extract insights and build AI/ML capabilities Enable your business to make decisions in real t

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

Author

Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner

Publisher

O'Reilly Media, Incorporated

Published

2023

Language

EN

ISBN

9781098151614

Category

nonfiction

Subjects

Computer Science, Organization And Data Processing, Stem