Jun 12, 2026 · 26 min · 11 segments
In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Samuel Bitrus, Data Quality and Governance Manager at Lufthansa Group, to explore the evolving role of data catalogs in…
Samuel BitrusGuest
Ole Olesen-BagneuxHost
Emma McGrattanHost
I love that you call that trust because I think trust is the currency in the world of data.
For me personally, a simple answer for that is that a data catalog essentially helps people to find data and make sense of it.
And I think what is worth mentioning or an important point that I always like to clarify when I talk about data catalogs is that it shouldn't only be about an inventory of assets, right? So when people think about it, they think it's just an inventory of assets.
But on the one hand, if it only tells me that something exists and something is there, that is good, that is nice, but it's not enough.
So a purposeful or useful catalog should also help me or a user in understanding what the data means, where it's coming from, who is accountable or who owns it, how sensitive it is, who am I allowed to share this with, and most importantly, whether it is reliable for me to make use of, right? So if it's fit for what I want to do.
So if I'm thinking of data catalogs, on the one hand, you have the discovery layers or the discovery aspect.
And then you have the context layer where there's a lot of enrichment that a catalog provides.
And then, of course, like we just talked just now, then the trust aspect of it as well.
traditionally, we think of data catalogs now as just being, you know, this place where, you know, just human users, you know, find information that they need.
It's even becoming even more and more important and pivotal for us to have catalogs that are nicely curated and are able to serve both the human users and also the non-human users.
I mean, we think of it too as like the context layer, right? It plays a role there in the age of AI.
I love that you call that trust because I think trust is the currency in the world of data.
For me personally, a simple answer for that is that a data catalog essentially helps people to find data and make sense of it.
And I think what is worth mentioning or an important point that I always like to clarify when I talk about data catalogs is that it shouldn't only be about an inventory of assets, right? So when people think about it, they think it's just an inventory of assets.
But on the one hand, if it only tells me that something exists and something is there, that is good, that is nice, but it's not enough.
So a purposeful or useful catalog should also help me or a user in understanding what the data means, where it's coming from, who is accountable or who owns it, how sensitive it is, who am I allowed to share this with, and most importantly, whether it is reliable for me to make use of, right? So if it's fit for what I want to do.
So if I'm thinking of data catalogs, on the one hand, you have the discovery layers or the discovery aspect.
And then you have the context layer where there's a lot of enrichment that a catalog provides.
And then, of course, like we just talked just now, then the trust aspect of it as well.
traditionally, we think of data catalogs now as just being, you know, this place where, you know, just human users, you know, find information that they need.
It's even becoming even more and more important and pivotal for us to have catalogs that are nicely curated and are able to serve both the human users and also the non-human users.
I mean, we think of it too as like the context layer, right? It plays a role there in the age of AI.
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