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Titlebook: Beginning Apache Spark 3; With DataFrame, Spar Hien Luu Book 2021Latest edition Hien Luu 2021 Big Data.Apache Spark.Spark.No SQL.HDFS.MapRe

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發(fā)表于 2025-3-21 19:53:53 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Beginning Apache Spark 3
期刊簡稱With DataFrame, Spar
影響因子2023Hien Luu
視頻videohttp://file.papertrans.cn/183/182233/182233.mp4
發(fā)行地址Covers how to build ML/AI applications using Spark MLlib.How to generate actionable insights by processing real-time data using the Spark Structured Streaming engine.Written by an experienced Apache S
圖書封面Titlebook: Beginning Apache Spark 3; With DataFrame, Spar Hien Luu Book 2021Latest edition Hien Luu 2021 Big Data.Apache Spark.Spark.No SQL.HDFS.MapRe
影響因子.Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing data in batch and streaming; and the scalable machine learning algorithms and practical utilities to build machine learning applications...Beginning Apache Spark 3. begins by explaining different ways of interacting with Apache Spark, such as Spark Concepts and Architecture, and Spark Unified Stack. Next, it offers an overview of Spark SQL before moving on to its advanced features. It covers tips and techniques for dealing with performance issues, followed by an overview of the structured streaming processing engine. It concludes with a demonstration of how to develop machine learning applications using Spark MLlib and how to manage the machine learning development lifecycle.?This book is packed with practical examples and code snippets to help you master concepts and features immediately after they are covered in each section...After reading this book, you will have the knowledge required to build your ow
Pindex Book 2021Latest edition
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發(fā)表于 2025-3-21 21:43:51 | 只看該作者
Working with Apache Spark, using Spark shell, submitting a Spark application from the command line, and using a hosted cloud platform called Databricks. The last part of this chapter is geared toward software engineers who want to set up Apache Spark source code on a local machine to study Spark source code and learn how cer
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發(fā)表于 2025-3-22 01:23:04 | 只看該作者
Spark SQL: Foundation, . (RDD) was the initial core programming abstraction when Spark was introduced to the world in 2012. In Spark version 1.6, a new programming abstraction, called Structured APIs, was introduced. This is the new and preferred way for the data engineering tasks, such as performing data processing or b
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發(fā)表于 2025-3-22 04:53:49 | 只看該作者
Spark SQL: Advanced,red data, and various supported data sources to read data from and write data to. Building on top of that foundation, this chapter covers some of the advanced capabilities in the Spark SQL module and peeks behind the curtain to understand the optimization and execution efficiency that the Catalyst o
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發(fā)表于 2025-3-22 10:12:44 | 只看該作者
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發(fā)表于 2025-3-22 16:55:29 | 只看該作者
Spark Streaming,ncrease their competitive advantages, make better business decisions, or improve user experience. With the advent of the Internet of Things, the volume and velocity of real-time data has increased. For Internet companies like Facebook, LinkedIn, or Twitter, millions of social activities happening ev
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發(fā)表于 2025-3-22 18:44:11 | 只看該作者
Advanced Spark Streaming,veloping a streaming application. Real-world streaming applications usually need to extract insights or patterns from the incoming real-time data at scale and feed that information into downstream applications to make business decisions or save that information in some storage system for further ana
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發(fā)表于 2025-3-22 23:38:51 | 只看該作者
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發(fā)表于 2025-3-23 02:16:14 | 只看該作者
Managing the Machine Learning Life Cycle,ask. In Chapter 8, you learned the machine learning development process is a highly iterative and scientific process that needs an engineering culture and practice that is slightly different from the traditional software development process. As the machine learning development community, including d
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發(fā)表于 2025-3-23 05:37:19 | 只看該作者
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