Simplifying Data Engineering and Analytics with Delta by Anindita Mahapatra

Author:Anindita Mahapatra
Language: eng
Format: epub
Publisher: Packt Publishing Pvt. Ltd.
Published: 2022-06-29T00:00:00+00:00

SCD Type 2 may seem long-winded, but once adopted and implemented, it is boilerplate code that can be reused for multiple tables by building a simple configuration-driven framework to cater to additional tables.

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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