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28 contributions to Data Innovators Exchange
Introducing Coalesce Catalog
In this week's episode of the Data Radio Show we learn about the new Coalesce Catalog from creator Tristan Mayer - an AI driven application to tidy up data pipelines. Check it out now here or where ever you get your podcasts from.
1 like • May 16
It's an amazing thing that Data catalogs get so much love these days. They are such an important part of a modern data platform that is used by more and more data consumers. The combination with tools like Coalesce is also great. One less integration we need to built and maintain!
The London Summit is around the corner - May 22nd, 2025
We are back in London with Coalesce, Snowflake and Scalefree. Just like the very first community meet up, a chance to genuinely connect with people who are just as passionate about data as you are. The free one day summit offers a focused day of learning and connection. You'll have the chance to explore topics like gaining new insights from data, the practical steps involved in building a Data Vault, and understanding different use cases. The schedule includes presentations from experienced individuals and hands-on workshops designed to help you engage with the concepts. There will also be dedicated time for networking, allowing you to connect with peers and discuss industry trends. So what are you waiting for? Sign up for FREE: https://scalefr.ee/6sptij
The London Summit is around the corner - May 22nd, 2025
1 like • May 16
That was such a great event last year. Looking forward to coming back this year again 🙂
Prague Summit a great success
What a day it was! Huge thanks to everyone who joined us in Prague on February 6th. We dove deep into Data Vault 2.0 with hands-on workshops, heard awesome use cases from the banking world, and got some serious insights from industry experts. Shoutout to Raiffeisenbank, Scalefree, and DataVault Builder for sponsoring and sharing their knowledge! Plus, it was great connecting with so many of you during the networking sessions. From building Hubs, Links, and Satellites to adapting models for new sources, we covered a ton. And that panel discussion? Mind-blowing! Have you been a part of the day? Let us know your opinion below.✍️ If you missed it, you missed out! But keep an eye out for future events in our classroom Upcoming Events. Let's keep the data innovation going!💡
Prague Summit a great success
1 like • Mar 3
Great pictures! 🙂 Would have loved to be there. Also great to see @Francesco Puppini there!
Sh** in - Sh** out?
You can have the best data model and the best business logics in place, but if garbage data comes in, the output is also often useless, especially for unexpected garbage. What are your strategies to deal with that?
3 likes • Feb 10
That's the great part about being a CRM consultant. You have a lot of impact on the data that goes in, can establish useable business keys etc. What certainly helps is ownership of the data by the same people that own the BI reports, based on the report, like in a Mesh Approach. However, that of course isn't that simple, but clear ownership in general can help. And of course good consulting and project leads who create and develop the source systems. Also great are Data Quality dashboards for the operational teams, which show basically all records that need fixing. If the same people have to clean the data as the one adding it, that usually helps in improving the entry of data in the future. Of course there is much more types of data in every company. There is also much much more you can do. But the important part is to get the info on bad data to the owners of the source to (at least try) to fix the issues in the beginning instead of only building more and more complex logic to fix everything in the data platform.
Data Vault is dead!
I hear more and more people asking why you should do all the overhead of creating a Data Vault on modern data platforms. They often argue, that when having a persistent data lake and a modern data platform, which allows virtualizing everything on top of the lake, you don't need a Data Vault. What's your take on this?
4 likes • Feb 6
Obviously that's bs. Great technology may solve certain issues, but it cannot be a replacement for data management. We don't do Data Vault to solve technology issues but to address business challenges and to create a solid foundation for a trusted and scalable data platform, bigger enterprises can leverage to gain insights, support operational processes and to create new products (and more).
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Christof Wenzeritt
4
86points to level up
@christof-wenzeritt-9987
CEO at Scalefree

Active 3d ago
Joined Apr 11, 2024
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