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You're reading from  Simplifying Data Engineering and Analytics with Delta

Product typeBook
Published inJul 2022
PublisherPackt
ISBN-139781801814867
Edition1st Edition
Concepts
Big Data
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Author (1)
Anindita Mahapatra
Anindita Mahapatra
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Anindita Mahapatra

Anindita Mahapatra is a Solutions Architect at Databricks in the data and AI space helping clients across all industry verticals reap value from their data infrastructure investments. She teaches a data engineering and analytics course at Harvard University as part of their extension school program. She has extensive big data and Hadoop consulting experience from Thinkbig/Teradata prior to which she was managing development of algorithmic app discovery and promotion for both Nokia and Microsoft AppStores. She holds a Masters degree in Liberal Arts and Management from Harvard Extension School, a Masters in Computer Science from Boston University and a Bachelors in Computer Science from BITS Pilani, India.
Read more about Anindita Mahapatra

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Managing and monitoring

Every organization has policies around data access and data use that need to be honored. In addition, there are compliance guidelines in some regulated industries to prove that compliance is honored, using an audit trail of the types of user access and manipulation of the data. Hence, there is a need to be able to set the controls in place, detect whether something has been changed, and provide a transparent audit trail. This includes access to raw data as well as via tables that are an artifact on top of the data.

The metrics collected from these logs need to be compared over a period of time to understand trend lines. Delta’s versioning capability comes in handy to monitor not only operations done on a table but metrics logged as well. It would be fair to say that these metrics need more permanence and some date/time stamp would be used to log them.

There are several types of logs in a system. The main ones include the following:

  1. Audit...
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Simplifying Data Engineering and Analytics with Delta
Published in: Jul 2022Publisher: PacktISBN-13: 9781801814867
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Anindita Mahapatra

Anindita Mahapatra is a Solutions Architect at Databricks in the data and AI space helping clients across all industry verticals reap value from their data infrastructure investments. She teaches a data engineering and analytics course at Harvard University as part of their extension school program. She has extensive big data and Hadoop consulting experience from Thinkbig/Teradata prior to which she was managing development of algorithmic app discovery and promotion for both Nokia and Microsoft AppStores. She holds a Masters degree in Liberal Arts and Management from Harvard Extension School, a Masters in Computer Science from Boston University and a Bachelors in Computer Science from BITS Pilani, India.
Read more about Anindita Mahapatra

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