期刊全称 | Big Data Analytics with Spark | 期刊简称 | A Practitioner‘s Gui | 影响因子2023 | Mohammed Guller | 视频video | | 发行地址 | Highlights the role of the Spark in the Big Data Landscape and proves the worth of having strong Spark skills in order to increase subject knowledge and boost your career.Introduces readers to the con | 图书封面 |  | 影响因子 | .Big Data Analytics with Spark. is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert..Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. .This book provides | Pindex | Book 2015 |
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