Architecting Data-Intensive SaaS Applications: Building Scalable Software with SnowflakeКНИГИ » ПРОГРАММИНГ
Название: Architecting Data-Intensive SaaS Applications: Building Scalable Software with Snowflake Автор: William Waddington, Kevin McGinley Издательство: O’Reilly Media, Inc. Год: 2021 Страниц: 80 Язык: английский Формат: pdf, epub Размер: 10.1 MB
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.
Data applications are customer- or employee-facing applications that process large volumes of complex and fast-changing data, embedding analytics capabilities that allow users to harness their data directly within the application. Data applications are typically built by software companies that market their applications to other businesses. As you learn about some of the most common use cases of data applications in Chapter 1, you will get a sense of the breadth of this landscape. Truly, we are living in a time when most applications are becoming data applications.
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Architecting Data-Intensive SaaS Applications: Building Scalable Software with Snowflake 
Название: Architecting Data-Intensive SaaS Applications: Building Scalable Software with Snowflake
