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You're reading from  Essential PySpark for Scalable Data Analytics

Product typeBook
Published inOct 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800568877
Edition1st Edition
Languages
Python
Tools
PySpark
Concepts
Big Data
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Author (1)
Sreeram Nudurupati
Sreeram Nudurupati
author image
Sreeram Nudurupati

Sreeram Nudurupati is a data analytics professional with years of experience in designing and optimizing data analytics pipelines at scale. He has a history of helping enterprises, as well as digital natives, build optimized analytics pipelines by using the knowledge of the organization, infrastructure environment, and current technologies.
Read more about Sreeram Nudurupati

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Real-time analytics systems architecture

A real-time data analytics system, as the name suggests, processes data in real time. This is because it is generated at the source, making it available for business users with the minimal latency possible. It consists of several important components, namely, streaming data sources, a stream processing engine, streaming data sinks, and the actual real-time data consumers, as illustrated in the following diagram:

Figure 4.1 – Real-time data analytics

The preceding diagram depicts a typical real-time data analytics systems architecture. In the following sections, we will explore each of the components in more detail.

Streaming data sources

Similar to any of the other enterprise decision support Systems, a real-time data analytics system also starts with data sources. Businesses generate data continuously in real time; therefore, any data source used by a batch processing system is also a streaming data source...

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Essential PySpark for Scalable Data Analytics
Published in: Oct 2021Publisher: PacktISBN-13: 9781800568877
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sreeram Nudurupati

Sreeram Nudurupati is a data analytics professional with years of experience in designing and optimizing data analytics pipelines at scale. He has a history of helping enterprises, as well as digital natives, build optimized analytics pipelines by using the knowledge of the organization, infrastructure environment, and current technologies.
Read more about Sreeram Nudurupati

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