Description: Architecting Data and Machine Learning Platforms : Enable Analytics and Ai-driven Innovation in the Cloud, Paperback by Tranquillin, Marco; Lakshmanan, Valliappa; Tekiner, Firat, ISBN 1098151615, ISBN-13 9781098151614, Brand New, Free shipping in the US 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 platformAccelerate data-led innovation by consolidating enterprise data in a data platformDemocratize access to enterprise data and allow business teams to extract insights and build AI/ML capabilitiesEnable your business to make decisions in real time using streaming pipelines Move from a descriptive analytics approach to a more predictive and prescriptive one by building an MLOps platformMake your organization more effective in working with data analytics and machine learning in a cloud environment
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End Time: 2024-08-27T18:43:06.000Z
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Book Title: Architecting Data and Machine Learning Platforms : Enable Analyti
Number of Pages: 359 Pages
Language: English
Publication Name: Architecting Data and Machine Learning Platforms : Enable Analytics and AI-Driven Innovation in the Cloud
Publisher: O'reilly Media, Incorporated
Subject: Systems Architecture / General, Cloud Computing, Data Modeling & Design, Intelligence (Ai) & Semantics, Databases / General
Publication Year: 2023
Item Height: 0.8 in
Item Weight: 22.2 Oz
Type: Textbook
Subject Area: Computers
Item Length: 9.1 in
Author: Firat Tekiner, Marco Tranquillin, Valliappa Lakshmanan
Item Width: 7.4 in
Format: Trade Paperback
