Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Due to the lack of tooling specifically designed for data discovery, exploration, and preliminary analysis, this presents a significant challenge for these teams.

Today, we are celebrating two product enhancements suggested by Max Hulten of Planspace that were delivered in the latest version of Bizview. We appreciate Max taking the time to share his ideas with us. Recently, we had the pleasure of speaking with him to learn more about his ideas and why he sees value in providing feedback to insightsoftware. Max Hulten, Planspace Co-Founder and Partner has been working with Bizview since 2015, implementing the product for countless customers.

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Over the last few years, we have had a front-row seat in our customers’ hybrid cloud journey as they expand their data estate across the edge, on-premise, and multiple cloud providers.

A little over a year ago, I found myself feeling stuck in my role as a data engineer. I had majored in business in college and was looking to connect more with that side of things. I enjoyed my tasks as a data engineer but I wanted more flexibility and creativity. I wanted to be involved in business decisions rather than my tasks already being decided for me.