This time I spoke at the Cassandra London Meetup and had the chance to share the stage with the amazing Patrick McFadin!!
My talk is about those concepts on top of which Cassandra lies that definitely make a difference in how we have to model our data. Theoretically reviewing those concepts and do some data modelling by example.
Here you have the slides
You can see the video here: https://skillsmatter.com/skillscasts/7762-scalable-data-modelling-by-example#video
This talk tries to provide with the basic but fundamental concepts required to build scalable Cassandra data models. I think that we, technical people, are impatient, and that sometimes may lead to errors, usually acceptable on the other hand, but in this case, when we’re dealing with Cassandra models, the cost in detecting why models are not scaling and having to modify them live will always be very expensive and painful. Basically, you don’t want to build and deploy models that don’t scale.
In order to get those concepts, here you have the slides and the video.