Data Conference Databasea Query.Farm index
Speakers

Bo Vande Sompele

Employers on the program

  1. 2023Plainsight1 talk
  2. 2022Lytix1 talk
Events2
Conferences1
Talks2
Years active2022–2023

Appearances by year

201920202021202220232024202520262027
  • dataMinds Connect

Talks

DateEventConferenceRoleTitleLinks
Oct 9, 2023dataMinds Connect 2023dataMinds ConnectspeakerAzure Networking infrastructure: is it really that boring?
as Plainsight
Welcome to the wonders of Azure networking. Feeling excited yet? I'm guessing you're not. But don't write it off too soon, because after this talk you'll…Show less

Welcome to the wonders of Azure networking. Feeling excited yet? I'm guessing you're not. But don't write it off too soon, because after this talk you'll finally understand why we need to consider a proper networking architecture for our Azure resources. Besides being perceived as boring, Azure Networking infrastructure actually has more value than meets the eye. In this talk, we will embark on a journey to demystify Virtual Networks (VNets), private and public endpoints, and many more. We'll keep it practical, assess pro's, con's and risks and make sure you'll finally see it is not thàt boring after all.

Oct 10, 2022dataMinds Connect 2022dataMinds ConnectspeakerThe untanglement of nested jsons
as Lytix
Big, nested jsons can be a pain in the ass for every data specialist trying to put the data in it to use. Not only do they take up a lot of memory to process…Show less

Big, nested jsons can be a pain in the ass for every data specialist trying to put the data in it to use. Not only do they take up a lot of memory to process in the first place, they can also be quite tricky to untangle. How do we get json data into a table structure (eg a SQL db)? How can we do this efficiently? Do we code it? Do we use SQL, python,... Something else? What about the schema? The goal of this talk is to take some use cases and provide the audience with some tips and tricks on how to handle jsons in ETL. For example, one of the usecases untangles a deeply nested json file using ADF/Synapse Data Flows, put's it in a SQL db and shows pro's and con's of this way of working with Json-files.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Adam Saxton2—2023
Alexander Arvidsson2—2023
Ásgeir Gunnarsson2—2023
Enrico van de Laar2—2023
Filip Popović2—2023
Gianluca Sartori2—2023
Heini Ilmarinen2—2023
Johan Ludvig Brattås2—2023
Just Blindbæk2—2023
Koen Verbeeck2—2023
Luke Moloney2—2023
Marc Lelijveld2—2023
Marthe Moengen2—2023
Nico Jacobs2—2023
Patrick LeBlanc2—2023

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.