Graph analytics is a set of analytic techniques that allows for the exploration of relationships between entities of interest such as organisations, people and transactions.
This is possible using Graph databases that can efficiently model, explore and query data with complex interrelationships.
According to Gartner, the application of graph processing and graph DBMSs will grow at 100 percent annually through 2022 to continuously accelerate data preparation and enable more complex and adaptive data science.
In this lecture we will introduce you to the world of graph databases and show how they could be used together with distributed microservice architecture by governments in fighting COVID-19 for remote guiding and alerting people, scoring places and exposures to the virus.

Here’s the agenda
* Story about COVID-19 and why remote guiding is important
* How remote guiding works - places, exposures, people, scoring - connections
* Why RDBMS will fail?
* What are graph databases and how they work?
* Graph model for COVID-19 remote guiding
* Possible microservice architecture for remote COVID-19 guiding and alerting.
* Quick Demo