Pro Serverless Data Handling with Microsoft Azure: Architecting ETL and Data-Driven Applications in the Cloud

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

B. Kettner, F. GeislerPro Serverless Data Handling with Microsoft Azurehttps://doi.org/10.1007/978-1-4842-8067-6_16

16. Data Storage Patterns

Benjamin Kettner¹   and Frank Geisler²

(1)

Berlin, Germany

(2)

Lüdinghausen, Germany

 

In Chapter 15, you learned different patterns for getting data into your destination system. What that chapter did not cover is the question of how to store the data in your destination system.

You should be aware that the way you store your data can have a great impact on the performance of any applications that work with your data. Questions like “What percentage of your data do you need to read to return the 2% of data that are required ...