David McNamara

These five tips will get you the most out of a Snowflake data warehouse by teaching you how to avoid the data prep bottleneck.

The diverse Snowflake data types can help data analysts discover insight-rich data and improve data accuracy.

What is AI’s role in the data preparation process? It doesn’t take much more than asking Siri to clean your data to realize that we can’t sit back and let AI take care of all of our data preparation needs. In session 3 of the Data School with Professor Joe Hellerstein, Joe takes a look at how human intelligence, and artificial intelligence, can work together to make data cleaning easy and intuitive.

A big focus of development work over the last year has been to expand our capabilities in automation and data pipelining, and this work is Plans.

Now, we’re back for session two! In this video, we travel back in time to the early days of data transformation and take a closer look at how user interfaces have evolved over the years. What we find is that a lot has changed—and at the same time, not much has changed at all.

Designer Cloud provides the ease of use of tools like Excel paired with the automation capabilities of tools like Python.