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Designing cloud data platforms /

Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantag...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zburivsky, Danil (Autor), Partner, Lynda (Autor)
Otros Autores: Kendrick, Christopher (Narrador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Shelter Island, New York] : Manning Publications Co., [2021]
Edición:[First edition], video edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is a hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you'll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You'll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it. In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Descripción Física:1 online resource (1 video file (14 hr., 14 min.)) : sound, color.
Tiempo de Juego:14:14:00