Nick Elprin, founder of Domino Data Lab, talks about how to deploy predictive models into production, specifically in the context of a corporate enterprise use case. Nick demonstrates an easy way to “operationalize” your predictive models by exposing them as low-latency web services that can be consumed by production applications. In the context of a real-world use case this translates into more subtle requirements for hosting predictive models, including zero-downtime upgrades and retraining/redeploying against new data. Nick also focuses on the best practices for writing code that will make your predictive models easier to deploy.Continue
Data Modeling and Why I Love Schemas
If I had to pick one area to focus on while migrating from MySQL to Cassandra, it would without hesitation be creating a good data model for your dataset that takes Cassandra’s storage design and database architecture appropriately into account.