找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Pro Spark Streaming; The Zen of Real-Time Zubair Nabi Book 2016 Zubair Nabi 2016 Spark.Spark Streaming.Spark Streaming Application.Spark St

[复制链接]
查看: 49574|回复: 35
发表于 2025-3-21 17:26:12 | 显示全部楼层 |阅读模式
书目名称Pro Spark Streaming
副标题The Zen of Real-Time
编辑Zubair Nabi
视频video
概述Highlights the differences between traditional stream processing and the Spark Streaming micro-batch model.Targets real-world applications from multiple industry verticals.Provides an introduction to
图书封面Titlebook: Pro Spark Streaming; The Zen of Real-Time Zubair Nabi Book 2016 Zubair Nabi 2016 Spark.Spark Streaming.Spark Streaming Application.Spark St
描述.Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This book walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation. The domains covered in .Pro Spark Streaming. include social media, the sharing economy, finance, online advertising, telecommunication, and IoT. .In the last few years, Spark has become synonymous with big data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing model. .Pro Spark Streaming .by Zubair Nabi will enable you to become a specialist of latency sensitive applications by leveraging the key features of DStreams, micro-batch processing, and functional programming. To this end, the book includes ready-to-deploy examples and actual code. .Pro Spark Streaming.will act as the bible of Spark Streaming..What You‘ll Learn.
出版日期Book 2016
关键词Spark; Spark Streaming; Spark Streaming Application; Spark Streaming SQL; Spark Streaming R; Streaming Ma
版次1
doihttps://doi.org/10.1007/978-1-4842-1479-4
isbn_softcover978-1-4842-1480-0
isbn_ebook978-1-4842-1479-4
copyrightZubair Nabi 2016
The information of publication is updating

书目名称Pro Spark Streaming影响因子(影响力)




书目名称Pro Spark Streaming影响因子(影响力)学科排名




书目名称Pro Spark Streaming网络公开度




书目名称Pro Spark Streaming网络公开度学科排名




书目名称Pro Spark Streaming被引频次




书目名称Pro Spark Streaming被引频次学科排名




书目名称Pro Spark Streaming年度引用




书目名称Pro Spark Streaming年度引用学科排名




书目名称Pro Spark Streaming读者反馈




书目名称Pro Spark Streaming读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:48:59 | 显示全部楼层
Zubair NabiHighlights the differences between traditional stream processing and the Spark Streaming micro-batch model.Targets real-world applications from multiple industry verticals.Provides an introduction to
发表于 2025-3-22 02:21:47 | 显示全部楼层
发表于 2025-3-22 05:08:44 | 显示全部楼层
DStreams: Real-Time RDDs,ng will define the future of real-time analytics. There is also a growing need to analyze both data at rest and data in motion to drive applications, which makes systems like Spark—which can do both—all the more attractive and powerful. It’s a system for all Big Data seasons.
发表于 2025-3-22 12:19:05 | 显示全部楼层
发表于 2025-3-22 16:11:01 | 显示全部楼层
Real-Time ETL and Analytics Magic,solution such as Hive, but this is a marriage of convenience rather than a natural fit: data must be copied back and forth, not to mention the burden of maintaining two different APIs. A better solution is Spark SQL.
发表于 2025-3-22 19:15:10 | 显示全部楼层
Of Clouds, Lambdas, and Pythons,c), Databricks, and IBM (Bluemix). No book about Spark would be complete without a discussion of running it in the cloud. Other topics covered in this chapter include the Spark Python API, the lambda architecture, and graph processing.
发表于 2025-3-22 22:14:29 | 显示全部楼层
发表于 2025-3-23 04:24:10 | 显示全部楼层
发表于 2025-3-23 07:51:09 | 显示全部楼层
Real-Time Route 66: Linking External Data Sources,cation—can substantially affect performance. With this in mind, this chapter is dedicated to ingesting data from solutions such as Kafka, Flume, and MQTT. In the process, you also write your own connector for HTTP to learn the ropes of connecting to external data sources.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-24 15:07
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表