I was looking for an effortless data visualization that would interface easily with Apache Spark. I found a few interesting tools, but nothing that would not require some complex interfacing, setup, or infrastructure. In a good geek way, I then decided to write the tool. This lack of simple tools is how Drsti (pronounced drishti) was born.
Aren’t you tired of looking at dataframes that looked like they came straight from a 1980 VT100? Sure, if you use notebooks, either standalone or hosted (IBM Watson Studio, Databricks…), you are not (or less) confronted with the issue. However, if you are building pipelines outside of the Data Science toys, oops, tools, you may need to visualize data in a graph.
Read on to see how it works and some of what you can do with Drsti.