Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Description

What is this data processing audiobook?

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems is a practical, comprehensive guide for understanding modern data systems. Newly adapted for audiobook listeners, it focuses on the big decisions behind reliable, scalable, and maintainable software.

What questions does it help U.S. technology buyers answer?

Data sits at the center of many system design challenges today. This guide helps listeners think through difficult issues including scalability, consistency, reliability, efficiency, and maintainability. It is especially useful when you are trying to make sense of a crowded data processing landscape and need a clearer way to compare options.

Which technologies are discussed?

The audiobook examines the pros and cons of technologies used for processing and storing data, including relational databases, NoSQL datastores, stream processors, batch processors, and message brokers. Instead of treating buzzwords as answers, it helps frame the tradeoffs behind choosing the right tools for an application.

Who is it for?

This title is for software professionals, system designers, and technical learners who want a stronger foundation in data-intensive applications. It is listed in the Data Processing category and is available from SourceToHome for $25.49.

Frequently Asked Questions

Is this an audiobook?
Yes. The product facts state that it is newly adapted for audiobook listeners.

What topics does it cover?
It covers major system design challenges including scalability, consistency, reliability, efficiency, and maintainability.

Does it compare different data technologies?
Yes. It examines pros and cons of technologies for processing and storing data, including relational databases, NoSQL datastores, stream or batch processors, and message brokers.

Who is this best for?
It is suited to software professionals, system designers, and technical learners who want to understand data-intensive applications and related technology tradeoffs.

What is the price?
The listed price is $25.49.


Descripción del producto

¿Qué es este audiolibro sobre procesamiento de datos?

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems es una guía práctica y completa para entender los sistemas de datos modernos. Adaptado recientemente para oyentes de audiolibros, se centra en las grandes decisiones detrás de software confiable, escalable y mantenible.

¿Qué preguntas ayuda a responder a compradores de tecnología en EE. UU.?

Los datos están en el centro de muchos desafíos actuales de diseño de sistemas. Esta guía ayuda a pensar en temas difíciles como escalabilidad, consistencia, confiabilidad, eficiencia y mantenibilidad. Es especialmente útil cuando se necesita entender un panorama amplio de procesamiento de datos y comparar opciones con más claridad.

¿Qué tecnologías se analizan?

El audiolibro examina las ventajas y desventajas de tecnologías usadas para procesar y almacenar datos, incluidas bases de datos relacionales, almacenes de datos NoSQL, procesadores de flujo, procesadores por lotes y corredores de mensajes. En lugar de tratar las palabras de moda como respuestas, ayuda a enmarcar las decisiones detrás de elegir las herramientas adecuadas para una aplicación.

¿Para quién es?

Este título es para profesionales de software, diseñadores de sistemas y estudiantes técnicos que desean una base más sólida en aplicaciones intensivas en datos. Está listado en la categoría Procesamiento de Datos y está disponible en SourceToHome por $25.49.

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What is this data processing audiobook?Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems is a practical,... Read more

$73.49  $58.79

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    Description

    What is this data processing audiobook?

    Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems is a practical, comprehensive guide for understanding modern data systems. Newly adapted for audiobook listeners, it focuses on the big decisions behind reliable, scalable, and maintainable software.

    What questions does it help U.S. technology buyers answer?

    Data sits at the center of many system design challenges today. This guide helps listeners think through difficult issues including scalability, consistency, reliability, efficiency, and maintainability. It is especially useful when you are trying to make sense of a crowded data processing landscape and need a clearer way to compare options.

    Which technologies are discussed?

    The audiobook examines the pros and cons of technologies used for processing and storing data, including relational databases, NoSQL datastores, stream processors, batch processors, and message brokers. Instead of treating buzzwords as answers, it helps frame the tradeoffs behind choosing the right tools for an application.

    Who is it for?

    This title is for software professionals, system designers, and technical learners who want a stronger foundation in data-intensive applications. It is listed in the Data Processing category and is available from SourceToHome for $25.49.

    Frequently Asked Questions

    Is this an audiobook?
    Yes. The product facts state that it is newly adapted for audiobook listeners.

    What topics does it cover?
    It covers major system design challenges including scalability, consistency, reliability, efficiency, and maintainability.

    Does it compare different data technologies?
    Yes. It examines pros and cons of technologies for processing and storing data, including relational databases, NoSQL datastores, stream or batch processors, and message brokers.

    Who is this best for?
    It is suited to software professionals, system designers, and technical learners who want to understand data-intensive applications and related technology tradeoffs.

    What is the price?
    The listed price is $25.49.


    Descripción del producto

    ¿Qué es este audiolibro sobre procesamiento de datos?

    Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems es una guía práctica y completa para entender los sistemas de datos modernos. Adaptado recientemente para oyentes de audiolibros, se centra en las grandes decisiones detrás de software confiable, escalable y mantenible.

    ¿Qué preguntas ayuda a responder a compradores de tecnología en EE. UU.?

    Los datos están en el centro de muchos desafíos actuales de diseño de sistemas. Esta guía ayuda a pensar en temas difíciles como escalabilidad, consistencia, confiabilidad, eficiencia y mantenibilidad. Es especialmente útil cuando se necesita entender un panorama amplio de procesamiento de datos y comparar opciones con más claridad.

    ¿Qué tecnologías se analizan?

    El audiolibro examina las ventajas y desventajas de tecnologías usadas para procesar y almacenar datos, incluidas bases de datos relacionales, almacenes de datos NoSQL, procesadores de flujo, procesadores por lotes y corredores de mensajes. En lugar de tratar las palabras de moda como respuestas, ayuda a enmarcar las decisiones detrás de elegir las herramientas adecuadas para una aplicación.

    ¿Para quién es?

    Este título es para profesionales de software, diseñadores de sistemas y estudiantes técnicos que desean una base más sólida en aplicaciones intensivas en datos. Está listado en la categoría Procesamiento de Datos y está disponible en SourceToHome por $25.49.

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