Abstract: We have seen a range of data published on the impact of various parameters on the spread of covid-19, including population density, average number of people per household, ethnicity, weather data etc.
Have you ever wanted to run your own analytics on covid-19 data, and examine data sets in order to draw a particular conclusion? Or possibly evaluate a theory, that may or not may not be true. Such analytics could potentially shed light on the impacts of various factors, and you can apply them to a variety of problems.
In this talk we will demo an application, comprised of multiple microservices for parsing time series data for the number of positive and death cases in every country and region, and how environmental parameters could correlate with those figures.
You will learn how to build your own data parser microservices, written in any programming language of your choice, and make them publicly available through REST APIs on any cloud platform with Kubernetes.
You will also learn how to combine your Python application with other components developed with other tools and programming language. To showcase the capability of microservices, we will demo a sample application in which the data analytic application is written in Python, the data parser and frontend UI are written in Java, and the data visualization has been developed in Node.js.
Bio: Dr Mo Haghighi is IBM’s head of Developer Ecosystems in Europe, former Research Scientist at Intel and former Java and Open Source developer at Sun Microsystems. Mo leads several teams of developer advocates in Benelux, DACH, UKI, SPGI, France, Italy, and CEE, as well as overseeing all advocacy and DevRel activities across Europe. Mo's expertise primarily lies in the areas of Edge Processing, Distributed Computing, Cloud Native Development, Embedded Systems and AI, with several publications and patents in those areas. He has also been involved in various projects involving the UK government, European Commission and tech corporations around Edge, AI and Network Security. Mo has been a regular keynote speaker at various conferences including The Next Web, AiWorld, DevNexus, IEEE/ACM, JavaOne, DevRelCon, CloudConf, Open Data Science Conference, Pycon and O’Reilly.