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Published inJul 2022
PublisherPackt
ISBN-139781801814867
Edition1st Edition
Concepts
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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.
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Data sharing

This is a paradox to a lot of collaboration and isolation concepts we reviewed in earlier sections. When groups or lines of business have a lot of data dependencies, they are usually housed together to facilitate better collaboration, and if they do not have any operational dependencies, they can be segregated in their own environments – for example, HR and marketing may be in their own domain meshes. However, what happens if there is a need for them to share some insights? There should be a way to promote it, as it leads to better stakeholder engagement that improves enterprise value. However, all the painful architecting to ensure this accidental exposure does not happen will now have to be reconsidered. That is a lot of unnecessary complexity and re-architecting. Also, data replication to a shared location will lead to the two getting out of sync. Thankfully, Delta sharing comes to the rescue.

A simple, open, and secure way to share data can be achieved through...

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Simplifying Data Engineering and Analytics with Delta
Published in: Jul 2022Publisher: PacktISBN-13: 9781801814867

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