Abstract
SingleStore is a database technology that can easily integrate with a wide range of big data tools and services. One such tool is Apache Spark™. In this 3-part series of articles, we’ll see how easy it is to use the SingleStore Spark Connector and the performance benefits it provides. We’ll also discuss a Credit Card Fraud Detection case study using actual data that we save into SingleStore, and then develop a Machine Learning model using Spark to determine if a Credit Card transaction is fraudulent or not.
The notebook files used in this article series are available on GitHub in DBC, HTML, and iPython formats
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