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Titlebook: Big Data Analytics with Spark; A Practitioner‘s Gui Mohammed Guller Book 2015 Mohammed Guller 2015 Big Data.Spark.Hive.Avro.Kafka.databases

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发表于 2025-3-21 19:36:09 | 显示全部楼层 |阅读模式
期刊全称Big Data Analytics with Spark
期刊简称A Practitioner‘s Gui
影响因子2023Mohammed Guller
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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Titlebook: Big Data Analytics with Spark; A Practitioner‘s Gui Mohammed Guller Book 2015 Mohammed Guller 2015 Big Data.Spark.Hive.Avro.Kafka.databases
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
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发表于 2025-3-21 23:33:28 | 显示全部楼层
Interactive Data Analysis with Spark Shell,es it easy to get started. It comes with a command-line tool called ., which allows you to interactively write Spark applications in Scala. The Spark shell is similar to the Scala shell, discussed in .. In fact, it is based on the Scala shell.
发表于 2025-3-22 03:52:06 | 显示全部楼层
Spark Streaming,llected for a period of time and processed in batches. A batch processing system processes data spanning from hours to years, depending on the requirements. For example, some organizations run nightly batch processing jobs, which process data collected throughout the day by various systems.
发表于 2025-3-22 06:37:24 | 显示全部楼层
发表于 2025-3-22 09:19:25 | 显示全部楼层
Cluster Managers,vailable on a cluster of nodes. It pools together the resources available on each cluster node and enables different applications to share these resources. Thus, it turns a cluster of commodity computers into a virtual super-computer that can be shared by multiple applications.
发表于 2025-3-22 14:32:37 | 显示全部楼层
nowledge and boost your career.Introduces readers to the con.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 b
发表于 2025-3-22 19:31:40 | 显示全部楼层
,Géométrie diophantienne multiprojective,that MOOCs (massive open online courses) have created tremendous awareness about machine learning. These courses have democratized the knowledge required to use machine learning. Machine learning skills are no longer limited to a few people with Ph.D. in Statistics. Anyone can now learn and apply machine learning techniques.
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发表于 2025-3-23 09:31:28 | 显示全部楼层
Big Data Technology Landscape,of the most active open source projects are related to big data, and the number of these projects is growing rapidly. The number of startups focused on big data has exploded in recent years. Large established companies are making significant investments in big data technologies.
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