Can I read Architecting Data-Intensive SaaS Applications on EtoBox?

Architecting Data-Intensive SaaS Applications by William Waddington; Kevin McGinley; Pui Kei Johnston Chu; Gjorgji Georgievski; Dinesh Kulkarni is a book available to read on EtoBox.

What is Architecting Data-Intensive SaaS Applications about?

Through explosive growth in the past decade, data now drives significant portions of our lives, from crowdsourced restaurant recommendations to AI systems identifying effective medical treatments. Software developers have unprecedented opportunity to build data applications that generate value from massive datasets across use cases such as customer 360, application health and security analytics, the IoT, machine learning, and embedded analytics.With this report, product managers, architects, and engineering teams will learn how to make key technical decisions when building data-intensive applications, including how to implement extensible data pipelines and share data securely. The report includes design considerations for making these decisions and uses the Snowflake Data Cloud to illustrate best practices.This report explores:Why data applications matter: Get an introduction to data applications and some of the most common use casesEvaluating platforms for building data apps: Evaluate modern data platforms to confidently consider the merits of potential solutionsBuilding scalable data applications: Learn design patterns and best practices for storage, compute, and securityHandlin

Author

William Waddington; Kevin McGinley; Pui Kei Johnston Chu; Gjorgji Georgievski; Dinesh Kulkarni

Publisher

O'Reilly Media, Incorporated

Published

2021

Language

EN

ISBN

9781098102753