This time last year, our team was celebrating the 1.0 launch of the Trifacta Data Transformation Platform and had the first public unveiling of our product at the Strata Conference in Santa Clara, CA. Needless to say, quite a lot has happened in the past year.
Our company has undergone tremendous growth on all fronts – from the expansion of our team, to the progression of the Trifacta Platform, and the addition of customers and partners. It’s clear there is a pent up need for a more effective way to prepare data for analysis and we’re excited to help make this work more productive and intuitive. Based on the conversations we had during this past week’s Strata + Hadoop World conference, our pace of growth is only going to pick up.
At this year’s California edition of Strata, we were fortunate enough to lead six separate sessions at the conference. From future-looking keynote presentations to highly detailed technical sessions, each of these talks touched on the challenges associated with working with data of all shapes and sizes and described the different design and engineering approaches we have chosen at Trifacta to make this work faster and easier.
There were many highlights from the conference but one that sticks out was the raucous session Trifacta customer GoPro presented on Thursday. Darren Chinen & Josh Byrd shared how they’ve built up GoPro’s Big Data team and even showed a live demo of how their team leverages Trifacta to more quickly wrangle difficult data for analysis. Another highlight was during the conference’s final day on Friday when Trifacta Co-founder & CXO Jeffrey Heer shared his perspective on how end user data visualization technologies need to evolve in the keynote presentation Charting a Path Forward: The Future of Data Visualization.
Here’s a recording of Jeff’s Strata keynote in case you missed it:
Moving on from Strata, we have a lot of exciting developments to share in the coming months. The next major event on the horizon for our team is this summer’s Hadoop Summit conference in San Jose, CA. Given that the evolution of YARN was a major theme during last year’s Summit, we’re looking forward to discussing the work we’ve done to incorporate a variety of new processing frameworks as execution engines on our platform to enable data wranglers more flexibility in how they perform transformations on data of different volumes. We’ll also be discussing the importance of data wrangling in the creation of Hadoop metadata and the underpinnings of how we profile data during the transformation process to help guide the user through their preparation work.