In the past decade a number of technologies have revolutionized the way we do analytics in banking. In this talk we would like to summarize this journey from classical statistical offline modeling to the latest real-time streaming predictive analytical techniques.
In particular, we will look at hadoop and how this distributing computing paradigm has evolved with the advent of in-memory computing. We will introduce Spark, an engine for large-scale data processing optimized for in-memory computing.
Finally, we will describe how to make data science actionable and how to overcome some of the limitations of current batch processing with streaming analytics.