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You're reading from  Data Lakehouse in Action

Product typeBook
Published inMar 2022
Reading LevelBeginner
PublisherPackt
ISBN-139781801815932
Edition1st Edition
Languages
Python
Tools
AWS IoT
Concepts
Big Data
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Author (1)
Pradeep Menon
Pradeep Menon
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Pradeep Menon

Pradeep Menon is a seasoned data analytics professional with more than 18 years of experience in data and AI. Pradeep can balance business and technical aspects of any engagement and cross-pollinate complex concepts across many industries and scenarios. Currently, Pradeep works as a data and AI strategist at Microsoft. In this role, he is responsible for driving big data and AI adoption for Microsoft’s strategic customers across Asia. Pradeep is also a distinguished speaker and blogger and has given numerous keynotes on cloud technologies, data, and AI.
Read more about Pradeep Menon

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Implementing a data lakehouse in a macro-architectural pattern

The building block for both these patterns is a node. The following figure depicts the formation of a node:

Figure 9.1 – A node – the building block for the macro-architecture pattern

A node is the data lakehouse architectural component implemented in the organization's sub-units and the central unit. The hub-spoke and the data mesh patterns differ in how the data is discovered and shared between the nodes. Let's discuss these patterns in detail.

The hub-spoke pattern

The first pattern that we want to discuss is the hub-spoke pattern. The following figure depicts the conceptual architecture of the hub-spoke pattern:

Figure 9.2 – The conceptual architecture of the hub-spoke pattern

A central node acts as a hub in the hub-spoke pattern, and many edge nodes act as the spoke. The hub is the central node that orchestrates and governs the...

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Data Lakehouse in Action
Published in: Mar 2022Publisher: PacktISBN-13: 9781801815932
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Pradeep Menon

Pradeep Menon is a seasoned data analytics professional with more than 18 years of experience in data and AI. Pradeep can balance business and technical aspects of any engagement and cross-pollinate complex concepts across many industries and scenarios. Currently, Pradeep works as a data and AI strategist at Microsoft. In this role, he is responsible for driving big data and AI adoption for Microsoft’s strategic customers across Asia. Pradeep is also a distinguished speaker and blogger and has given numerous keynotes on cloud technologies, data, and AI.
Read more about Pradeep Menon

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