Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence

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

M. SekarMachine Learning for Auditorshttps://doi.org/10.1007/978-1-4842-8051-5_10

10. Data Lakes

Maris Sekar¹  

(1)

Calgary, AB, Canada

 

This chapter focuses on the role of data lakes in shaping the current IT landscape. Data lakes have become increasingly popular in the last few years and are being used widely to realize tangible business value. This chapter teaches the reader how to leverage the power of data lakes to drive their analytics requirements. It also looks at two commonly observed data lake architectures and when they are suitable for use.

Introduction to Data Lakes

A major problem with data warehouses is that the data residing in them are preprocessed ...