不遵守
发表于 2025-3-23 11:48:24
https://doi.org/10.1007/3-7643-7387-3We are reaching the end of this trip. In this chapter, you will learn how to create your own cluster in a simple way.
创造性
发表于 2025-3-23 15:16:09
Genes in Populations: Forward in TimeThe goal of this chapter is to get you familiar with Apache Kafka and show you how to solve the consumption of millions of messages in a pipeline architecture. Here we show some Scala examples to give you a solid foundation for the different types of implementations and integrations for Kafka producers and consumers.
商议
发表于 2025-3-23 20:54:45
Genes in Populations: Forward in TimeIn this chapter, we examine well-known patterns in developing fast data applications. As you know, there are two approaches: (1) the batch, on disk, traditional approach and (2) the streaming, on memory, modern approach. The patterns in this chapter apply to both approaches.
foliage
发表于 2025-3-24 00:31:13
Introduction to Computational CardiologyWell, we have reached the chapter where we have to connect everything, especially theory and practice. This chapter has two parts: the first part is an enumeration of the data pipeline strategies and the second part is how to connect the technologies.
单纯
发表于 2025-3-24 02:35:26
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我没有命令
发表于 2025-3-24 06:33:31
Big Data, Big SolutionsMany systems are monitoring a continuous stream of events: weather events, GPS signals, vital signs, logs, device metrics…. The list is endless. The natural way to collect and analyze this information is as a stream of data.
Initial
发表于 2025-3-24 11:03:51
The Language: ScalaThe main part of the SMACK stack is Spark, but sometimes the S is for Scala. You can develop in Spark in four languages: Java, Scala, Python, and R. Because Apache Spark is written in Scala, and this book is focused on streaming architecture, we are going to show examples in only the Scala language.
Salivary-Gland
发表于 2025-3-24 17:53:14
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molest
发表于 2025-3-24 19:44:45
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雄伟
发表于 2025-3-25 02:17:30
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