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

Author (1)

Pradeep Menon

PART 2: Data Lakehouse Component Deep Dive

In this section of the book, we will explore the components of the data lakehouse architecture. The journey will begin with how data is ingested before moving on to how data is stored, served, cataloged, and converted into insights using analytics.

This section comprises the following chapters:

Chapter 3, Ingesting and Processing Data in a Data Lakehouse
Chapter 4, Storing and Serving Data in a Data Lakehouse
Chapter 5, Deriving Insights from a Data Lakehouse
Chapter 6, Applying Data Governance in a Data Lakehouse
Chapter 7, Applying Data Security in a Data Lakehouse

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Published in: Mar 2022Publisher: PacktISBN-13: 9781801815932

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Author (1)

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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