Spark: The Universal Architecture to Grow From

AI is the new hotness, but with new approaches come new problems of scale. How do you make raw data accessible to teams of data scientists and model-builders? How do build a repeatable deployment pipeline? And how do you monitor your models once they're in production? Today's episode goes through all these reality checks with author and expert Adi Polak, who's just released a new book on the subject.

Scaling Machine Learning With Spark (book): https://www.oreilly.com/library/view/scaling-machine-learning/9781098106812/
Kris on Twitter: https://twitter.com/krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/