Детали книги
Формат
Мягкая обложка
Страницы
277
Язык
Английский
Опубликовано
May 24, 2020
Издатель
Apress
ISBN-10
148425984X
ISBN-13
9781484259849
Описание
Benjamin Weissman delves into the transformative world of Big Data Clusters, offering an insightful exploration of data virtualization, data lakes, and AI platforms. This intricate work begins by unpacking the concept of Big Data Clusters, illustrating how they serve as a bridge between traditional database management and modern data analytics demands.
The author meticulously outlines the architecture that supports these clusters, providing readers with a solid foundation for understanding the framework necessary for efficient data management and processing. Weissman emphasizes the significance of deployment practices and how they can optimize performance while accommodating the growing volumes of data businesses encounter today.
Further, the book explores the interplay between Big Data Clusters and artificial intelligence, highlighting how these technologies can synergistically enhance data-driven decision-making. Weissman's expertise guides readers through the complexities of integrating various data sources, revealing the potential for innovation and growth in the rapidly evolving landscape of data management.
The author meticulously outlines the architecture that supports these clusters, providing readers with a solid foundation for understanding the framework necessary for efficient data management and processing. Weissman emphasizes the significance of deployment practices and how they can optimize performance while accommodating the growing volumes of data businesses encounter today.
Further, the book explores the interplay between Big Data Clusters and artificial intelligence, highlighting how these technologies can synergistically enhance data-driven decision-making. Weissman's expertise guides readers through the complexities of integrating various data sources, revealing the potential for innovation and growth in the rapidly evolving landscape of data management.