The Data Science ROI Of Moving To The Data Lakehouse

Many CDOs/CDAOs (and even CMOs) have raised some interesting questions about these three data management and data science titans: Snowflake, Databricks, and DataRobot. Some of the questions include:

• Can Snowflake replace the CDP?

• Do I need Databricks if I have ML Ops capabilities or other capabilities that are similar?

• What is the difference between DataRobot and Databricks?

• How do we prevent the siloing of marketing data and smooth access by other domains?

Later in this post, I’ll be discussing these questions with Ed Lucio, a New Zealand data science expert for Spark (telecom provider) and former lead data scientist for ASB Bank. We’ll be giving our POV on these questions as well as highlighting a few data analytics use cases that can be driven by these tools once they are in place. I would love to hear from you regarding other use cases and your experiences with data lakehouses.

Before diving into my conversation with Ed, a quick overview of environments and tools...