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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
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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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Summary

Delta Lake with ACID transactions makes it much easier to reliably perform UPDATE and DELETE operations. Delta introduces the MERGE INTO operator to perform Upsert/Merge actions as atomic operations along with time travel features to provide rewind capabilities on Delta Lake tables. Cloning, CDC, and SCD are patterns found in several use cases that build upon these base operations. In this chapter, we have looked at these common data patterns and shown how Delta continues to provide efficient, robust, and elegant solutions to simplify the everyday work scenarios of a data persona, allowing them to focus on the use case at hand.

In the next chapter, we will look at data warehouse use cases and see if all of them can be accommodated in the context of a data lake. We will reflect on whether there is a better architecture strategy to consider instead of just shunting between warehouses and lakes.

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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