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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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Methods of data masking in a data lakehouse

A data lakehouse can contain a lot of sensitive data that needs protection from unauthorized access. This could include Personally Identifiable Information (PII) such as social security numbers, email, or phone numbers, or sensitive information such as credit card or bank account numbers. Not everyone needs to access this sensitive data. A data masking service adds a layer of protection to ensure that sensitive data is only accessed by the most privileged users with the need to access it. Data masking is a way to create an artificial but practical version of data. It protects sensitive data without sacrificing the functionality that it offers. There are several reasons why data masking is vital for an organization:

  • Data masking mitigates external and internal threats. For example, data exfiltration, insider threats or account compromise, and insecure interfaces with third-party systems are some threats mitigated by data masking.
    • ...
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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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