We will explore how the PDI integration with Jupyter notebook can help deal with a fraud detection model written in Python.
With a background in finance, consulting and IT, Ulrich doesn’t like anything more than combining Data Engineering and Data Science to significantly impact business revenue.
Dennis is an adaptive, enthusiastic and team orientated Pentaho solutions engineer, working just under a year at Hitachi Vantara. Holding a masters degree in business administrator, he is skilled in analyzing business operations and processes alike. Adding to his ever-growing thirst for knowledge and everything new, he combines his formal education with an intense interest in the ever growing world for business intelligence. Starting out as a BI consultant he is now a solutions engineer focusing his expertise mostly on the Big Data, Analytics and IoT domains. As a member of the “Association for computing machinery” he has worked with some of leading technology vendors in the industry on projects ranging from predictive maintenance on trains to conceptualizing data science architectures for banks. His passions resides in bringing the two world of IT and OT together, he firmly believes that at the collision point between OT and IT the biggest gains are to be had. He draws inspiration from racing: “as conditions often change very rapidly, drivers must be able to respond with just the right combination of caution and speed.”