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UID:pretalx-nluug-voorjaarsconferentie-2026-KSBJZM@cfp.nluug.nl
DTSTART;TZID=CET:20260507T125000
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DESCRIPTION:It's 2026 and all of a sudden your regular solution to build a 
 data pipeline in Azure or AWS seems to have gone out of favour pretty fast
 . We want to store our data outside of the reach of the next autocrat.\nBu
 t what are the alternatives? In this session we'll discuss how you can bui
 ld a data lakehouse in the European cloud. And we want more: we want PySpa
 rk\, notebooks and data visualization. Is that all possible?\n\nFor this d
 ata lakehouse solution we start with Kubernetes and object storage. You'll
  be surprised how many European cloud providers offer these products. Now 
 we'll use Nessie as catalog and Trino as query engine. With Iceberg\, our 
 open table format\, we can already create our first table.\n\nNext we'll r
 un Jupyter Hub for shared notebooks. And now we can cooperate on writing P
 ySpark code. \nGreat\, but can we still use (local) PowerBI for data visua
 lisation?\n\nYes\, but that actually turns out a bit harder and for some r
 eason expensive. We'll look at the alternatives for that.\n\nThis presenta
 tion is also suitable for visitors who are not data engineers or who have 
 little knowledge of Kubernetes.
DTSTAMP:20261015T014115Z
LOCATION:Room 2
SUMMARY:Building a data lakehouse in the European cloud - Marcel-Jan Krijgs
 man
URL:https://cfp.nluug.nl/nluug-voorjaarsconferentie-2026/talk/KSBJZM/
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