Tye Rattenbury

With the growing adoption of big data infrastructure technologies like Hadoop has come increased awareness of the different activities involved in successful Hadoop-based analyzes. Specifically, users have come to appreciate that “data wrangling” is a crucial first step in preparing data for broader analysis – and one that consumes a significant amount of time and […]

In this blog, Trifacta’s Director of Data Science and Solution Engineering Tye Rattenbury chats with Brian Ellerman, Sanofi’s Head of Technology Scouting & Innovation. Sanofi is a global healthcare leader with sectors in research, development, and pharmaceutical and therapeutic manufacturing and marketing.  At Trifacta, we want to revolutionize the way people and organizations work with data. Our first […]

The following piece from Trifacta Data Scientist Tye Rattenbury was originally published in DBTA’s Big Data Quarterly.  Data preparation is gaining considerable visibility as a distinct aspect of data management and analytics work. With leaders in the analyst community producing the first series of reports on the emerging data preparation market – Dresner Advisory Services, Gartner and Forrester […]

Ever experience the excitement of discovering a deep pattern in a dataset? Or been continually amazed at a predictive engine’s ability to find the right answer? The greatness of working with data is only offset by the soul-crushing tedium of preparing data. (Ok, I might be overstating that a bit, but only a bit.) I […]