When it comes to telco / OSS / BSS data, I’m a big believer in matching the type of database to the type of data you’re handling.
For alarms / events / logs, it’s time-series databases, where KX is a stand-out.
For network inventory-based use-cases, graph databases like Neo4j provide some significant advantages.
If you’re in Melbourne next Tuesday (9th of May, 2023), I’d like to invite you to attend the Graph Summit – https://neo4j.com/graphsummit/melbourne/
I’ll be giving a short talk about the keys to modelling complex telco network data. I’ll be joined on stage by Peter Dart, who will talk in more detail about how he’s used Neo4j and its Graph Data Science libraries to assist with automated network design and path finding over network inventory data.
Let us know if you’re going. We look forward to speaking with you there.
Earlier this week, I was lucky enough to be introduced to a talented RAN automation expert. He’s one of Australia’s foremost, hands-on, experts on SON
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Earlier in the year, we wrote a series of articles about the chasm that exists between OSS/BSS buyers and sellers (pt1, pt2, pt3, pt4, pt5, pt6). “The chasm” is
Actually, maybe a few related questions. As you’ve seen from recent articles such as this, I’m increasingly interested in the cross-over worlds of comms and
Here at Passionate About OSS, we are exactly that – Passionate About OSS (Operational Support Systems). We’re also passionate about BSS, NMS, or any other names you call the tools that help to operationalise your network.
