I wonder if this is a difference in mindset of OLAP vs OLTP. I have worked with OLAP teams where they were dropping millions of records, and the solution was usually just restream the data and shrug. But if any service backed by OLTP was dropping writes, its all-hands-on-deck incident with detailed postmortems and exec meetings.
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I wonder if this is a difference in mindset of OLAP vs OLTP. I have worked with OLAP teams where they were dropping millions of records, and the solution was usually just restream the data and shrug. But if any service backed by OLTP was dropping writes, its all-hands-on-deck incident with detailed postmortems and exec meetings.
If you don't own the source system, then it's much harder to be incentivized to care.
Also the better data teams do postmortems and exec meetings.