Apache Cassandra is defined by the Eventually Consistent behaviour specified in the Amazon Dynamo Paper. While a simple idea, it has a big change on the way developers should think about how the platform works. Understanding when you may get back the data you expect, and when you may not, is key to developing successful applications with Cassandra. In this talk Edward Capriolo, Consultant at The Last Pickle, will explain how Consistency works in Apache Cassandra by looking at the Linearizable, Strong, and Eventual Consistency models. Going on to look at the different Consistency Levels, their guarantees and failure modes. This talk is a must for developers who want to know why their queries sometimes return the "wrong" data. About the Speaker Edward Capriolo Consultant, The Last Pickle Long time Apache Cassandra user, big data enthusiast.