#BigDataLDN – Day 2

So, BigDataLDN day 2, where to start?

A slightly quieter day meant for a much more interactive experience for me – it was a pleasure catching up with so many people! Many of the vendors were just as keen to chat, altho some folks were slightly jaded from the previous evenings drinks I think! I didn’t manage to find anyone doing automation and document processing unfortunately. Any hints?

I did think the memgraph app which tracked the #bigdataldn hashtag was a really clever use of a graph platform, I’m hoping more of that gets shared soon. There’s no better way to demonstrate a product than using a domain that everyone understands!

Also; staying to the bitter end was great for swag collection!

This was also my first time on a panel discussion – the Rise of the Data Engineer – a great topic and one very relevant to my career in data – was 45 minutes covering such interesting topics as trends and how to get into data engineering.

At the end we had Matt Parker doing the final closing keynote and he was brilliant! So funny – and so true – thats the scary thing. His YouTube channel is here.

I for one look forward to next year – where no doubt the conference will be bigger and better.

#BigDataLDN 2022 Day 1

So, of course, BigDataLDN was back yesterday and boy did it kick off with a bang! Queues around the block and irate venue staff! Wowser!

By far and away the busiest day I’ve seen at Olympia. It was great to see so many vendors all committed to the event too. Plus of course, the very exciting new stage for DataMesh.

Needless to say I saw both of Zhameks talks, all very interesting stuff. Some amusing predictions came out of the panel discussions, some of which I posted on twitter, which inevitably led to the usual religious hatred coming out! (Honestly i’ve never seen such a polarising technology)

Sadly for the first year ever i was unable to get into the F1 talk, doh! But I’ll look it up on youtube – it’s interesting they moved to the AI/ML stage this year. I wonder what the angle there is.

Anyway I’ll be back today – Not forgetting I’m on a panel debate where we’re discussing the rise of the data engineer. See you there!