Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

S. MauriceTransactional Machine Learning with Data Streams and AutoMLhttps://doi.org/10.1007/978-1-4842-7023-3_1

1. Introduction: Big Data, Auto Machine Learning, and Data Streams

Sebastian Maurice¹  

(1)

Toronto, ON, Canada

 

Data streams are a class of data that is continuously updated and captured and grows in volume and is largely unbounded [Aggarwal, 2007; Wrench et al., 2016]. Consider how our everyday lives contribute to data streams. Every time we purchase something with a credit card, the purchasing event information about your name, purchase amount, product purchased, time and date purchased, location where it was purchased, quantity, product code, ...