Zornitsa Manolova
Zornitsa Manolova leads the Data Quality Management and Data Science team at the Global Legal Entity Identifier Foundation (GLEIF). Since April 2018, she is responsible for enhancing and improving the established data quality and data governance framework by introducing innovative data analytics approaches. Previously, Zornitsa managed forensic data analytics projects on international financial investigations at PwC Forensics. She holds a German Diploma in Computer Sciences with a focus on Machine Learning from the Philipps University in Marburg.
Sessions
Most organisations habe implemented some kind of dashboard to monitor their data, processes, or business. However, many dashboard solutions come with a caveat – either the licensing costs, lack of transparency in the workflows, limited creativity, or they cannot be connected to existing infrastructure.
This talk is aimed at Data Scientists, Data Engineers, Data Practitioners and Managers struggling with choosing between a myriad of commercial dashboard solutions and DIY. We present how to create your own dashboard using open-source Python technologies like FastAPI, SQLAlchemy, and Celery and the challenges involved. We look back at the pitfalls and solutions we have worked on over the past 3 years. The goal is not to present our unique solution, but to show how we can combine different Python libraries to implement custom solutions to solve different use cases. Attendees should be familiar with the basic concepts of web infrastructure. Previous knowledge of any libraries is not required. We hope to provide a starting point to build your custom dashboard solution using open-source tooling.