Difference between revisions of "Data Processing Architecture"

From GM-RKB
Jump to: navigation, search
(ContinuousReplacement)
(Tag: continuous replacement)
 
Line 16: Line 16:
 
----
 
----
 
__NOTOC__
 
__NOTOC__
 +
[[Category:Concept]]

Latest revision as of 12:31, 4 December 2019

A Data Processing Architecture is a computational architecture for data processing systems.



References

2018

  • https://towardsdatascience.com/a-brief-introduction-to-two-data-processing-architectures-lambda-and-kappa-for-big-data-4f35c28005bb
    • QUOTE: ... Big Data, Internet of things (IoT), Machine learning models and various other modern systems are becoming an inevitable reality today. People from all walks of life have started to interact with data storages and servers as a part of their daily routine. Therefore we can say that dealing with big data in the best possible manner is becoming the main area of interest for businesses, scientists and individuals. For instance an application launched for achieving certain business goals will be more successful if it can efficiently handle the queries made by customers and serve their purpose well. Such applications need to interact with data storage and in this article we’ll try to explore two important data processing architectures that serve as the backbone of various enterprise applications known as Lambda and Kappa. ...