Three strategies to tackle Big Data in Python and R
Big Data might not be the buzzword it was five years ago, but it's more prevalent than ever. Even if you aren't currently dealing with Big Data, chances are that sooner or later you'll find yourself with a dataset that is just too big for your normal python or R setup to handle. In this Foo café event, the Data Science team at Castle.io will share three strategies that can be used to tackle Big Data in python and R. Three Big Data tools will be briefly introduced: duckDB, Spark, and SnowflakeDB.
The Data Science Malmö meetup is ramping up again and invites you to join this Foo Café event aimed at everybody working with or interested in data science.
- Data Science lead at Castle.io, a Y combinator-backed startup building an AI-based security and fraud detection service. He's worked with Big Data in many different forms and knows that, while it can be a pain to handle Big Data, there can be great business value (and good career opportunities) knowing how to do so.