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

By:

Tranquillin Marco

Publication details: Shroff Publishers & Distributors Pvt. Ltd. 2023 MumbaiEdition: 1st EdDescription: 338ISBN:

9789355428158

Subject(s):

Machine Learning

DDC classification:

005.74015 TRA

Summary: 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 time using streaming pipelines Build an MLOps platform to move to a predictive and prescriptive analytics approach. Source: https://www.amazon.in/Architecting-Data-Machine-Learning-Platforms/dp/9355428154/ref=sr_1_1?crid=3RP4UMMUK9M8F&dib=eyJ2IjoiMSJ9.y6gn3ZA5px4w7fFk8eEQtg.Hgt-jcbX9lQFb1y4TmnoicOLVU-Bl6SWeKxdaqRvtvs&dib_tag=se&keywords=9789355428158&qid=1732546256&sprefix=9789385889592%2Caps%2C368&sr=8-1

List(s) this item appears in: New Arrivals December 2024

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Holdings
Cover image	Item type	Current library	Collection	Call number	Status	Date due	Barcode
	Book	Main Library Analytics	Reference book	005.74015 TRA (Browse shelf(Opens below))	Available		119581

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 time using streaming pipelines
Build an MLOps platform to move to a predictive and prescriptive analytics approach.

Source: https://www.amazon.in/Architecting-Data-Machine-Learning-Platforms/dp/9355428154/ref=sr_1_1?crid=3RP4UMMUK9M8F&dib=eyJ2IjoiMSJ9.y6gn3ZA5px4w7fFk8eEQtg.Hgt-jcbX9lQFb1y4TmnoicOLVU-Bl6SWeKxdaqRvtvs&dib_tag=se&keywords=9789355428158&qid=1732546256&sprefix=9789385889592%2Caps%2C368&sr=8-1

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