Graph Evolution: Harnessing the Future of Data Management


Details
[NOTE: Please do fill this registration form as well.]
Graph Database Sydney meetup group is back with yet another exciting meetup for graph enthusiasts to learn and share more about this increasingly expanding Graph technology industry.
***
[Register here: https://forms.gle/xCpidvsY9fekD1Gx6]
Agenda
5:30 PM - 6:30 PM : Registrations, Dinner, Introductions & Settle-in
6:30 PM - 6:40 PM: Neo4j and Neo4j Community Intro
6:40 PM - 6:45 PM: Intro on Macquarie Big Data Society by Amin Beheshti
6:45 PM - 7:15 PM: Using Knowledge Graph to Solve Complex Cloud Security Problems by Hemen Estefaie
7:15 PM - 7:45 PM: Unlocking the Power of Definition Management with Ontology and Graph Technology by Ann Clark
7:45 PM - 8:15 PM: Networking
Venue: Microsoft Reactor, Level 10, 11-13 York St, Sydney NSW 2000, Australia (Directions)
Speaker Bios:
Hemen Estefaie, Software Engineering Team Lead @ Plerion
Hemen is a software engineer with 10+ years of experience in the field. In the last 3 years, he's been involved in solving cybersecurity problems in the public Cloud space. At Plerion, Hemen is leading a team to solve complex cybersecurity problems using Graph.
Ann Clark, AI Ontologist @ Nearmap
Ann Clark has a decade's experience designing, testing, and implementing practical master data definition, knowledge management, and semantic metadata solutions for the energy, commercial data, and technology sectors. She holds a Master's Degree in Information Resources and Library Science from the University of Arizona, and relocated to Sydney in 2022.
--------------------------------
Kindly adhere to following COVID-19 safety measures. The event host is instituting the above safety measures for this event without which entry would not be allowed.
- Masks required
- All attendees should carry a government ID and proof of COVID vaccination.
Heartiest thanks to Microsoft Reactor Sydney for hosting this meetup.
COVID-19 safety measures

Sponsors
Graph Evolution: Harnessing the Future of Data Management