Reader small image

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

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

Right arrow

Technical requirements

To follow the instructions of this chapter, make sure you have the code and instructions as detailed in this GitHub location: https://github.com/PacktPublishing/Simplifying-Data-Engineering-and-Analytics-with-Delta/tree/main/Chapter11.

https://delta.io/roadmap/ is the list of features coming to open source Delta in the near future. This chapter refers to some of them, including Delta clone.

We discuss a Databricks-specific feature called Delta Live Table (DLT) to give an example of what to aspire for in an intelligent pipeline.

Let's get started!

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
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