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Data Innovators Exchange

Public • 322 • Free

72 contributions to Data Innovators Exchange
Seeking Data Governance Essentials: Key Concepts & Must-Read Resources
Hi everyone - I’m looking to deepen my understanding of Data Governance and would love to hear about key concepts or frameworks you find essential. What are the must-know principles in this field? Also, if you have any “must-read” books or resources on Data Governance that you’d recommend, I’d appreciate your suggestions! Thanks in advance for sharing your insights! 😊
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Machine Learning Yearning: Audio Study Guide
Coalesce has kindly sponsored this Notebook LM generated audio study guide - something to listen to as you exercise, commute or walk the dog. Andrew Ng's course on Machine Learning is one of the most popular on Coursera. Here is something we put together to accelerate your learning on the subject.
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New comment 15d ago
Machine Learning Yearning: Audio Study Guide
0 likes • 15d
Really interesting! Thank you :)
Do you have a Deletion/Masking Strategy?
I am wondering if you have a data deletion or data masking strategy in your projects if you have to delete/mask (personal) data. If yes, how do you find all the places where you have to delete/mask? The place where we usually tag data (as personal or not) is usually done in the metadata (example in Data Vault: when defining the Satellites). So, this could be used as the basis. when using column-level lineage you could figure out where the data is coming from (in case you have a PSA) and where the data goes to (Business Vault - Information Mart). Based on this, a procedure can do the delete/masking/NULLing ... What do you think about this and do you have a tool/mechanism which does that? btw. what would you prefer? 1) NULL the values, 2) remove the whole row in the personal Satellite (but then you have to consider to re-create the PITs as some pointers to the Satellites do not exist anymore) or 3) mask it with a static value (not simple hashing of course), also to see that there was something before and to differentiate to "normal" NULLs? Thanks for your thoughts!
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New comment Oct 11
2 likes • Oct 10
This is a really interesting topic, and I’m actually looking for solutions myself at the moment. The "where" aspect is certainly a significant part of the challenge, but I believe it can be managed with the right tools, such as data lineage systems and others mentioned. One difficulty is determining, often in collaboration with legal or governance teams, what needs to be done with associated data, such as contracts, when a person requests deletion. Understanding the legal requirements in these cases is essential. I recently heard of an interesting idea: using Consent Data from websites, email forms, and similar sources as a starting point. This approach provides a concrete data source for handling deletion requests, potentially streamlining the process. Last but not least i did not go really into detail yet but just first thought option three sounds really appeling to me. What are your thought on this?
Webinar Invitation: Successful Patterns of AI for Business​
Hear insights from Kieran Hagan, IBM Data & AI Segment Leader for Australia/New Zealand Wednesday, 25th September | 3pm-3:45pm AEST Register Link: https://info.techdatacloud.com.au/ibm-ai-webinar-series-successful-patterns-of-ai-for-business-sept24 AI fatigue is increasingly becoming a topic of interest, and many are facing challenges in selling AI and finding real-world implementations with great ROI. Join our webinar with IBM's Data & AI Sales Leader for ANZ, where we will discuss successful strategies for selling AI.​ This month we will cover:​ - AI for Business​ - The Latest Updates on IBM Data & AI​ - Practical Advice for Selling AI
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New comment Oct 10
0 likes • Oct 10
Do you know if there is a recoding to this one? @Sheng Lan
Data Innovator Community Meetups
To all Data Innovators, Where do you want to see the next Data innovator events? Due to the huge success of the community meetups in London and Munich we want to keep them coming. In these events we got very good feedback on the focus of the workshops, so we are going to keep the focus on them and stay with the 1 day format with: - Success story - 2 Workshops - Panel discussion The team currently is brainstorming locations and would love to hear your thoughts on this 🙂 So please let us know in the comments where you want a Data Innovators Event to take place and we will give our best to make it happen 🙂 Thank you for your input!
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New comment Oct 10
1 like • Oct 10
I think Prague or Vegas sound both like cool Ideas! Or maybe Budapest?
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Lorenz Kindling
5
277points to level up
@lorenz-kindling-9486
Senior BI Consultant. Expert in Data Warehousing, Data Vault 2.0, and automation. Based in Cologne, I love traveling.

Active 8d ago
Joined Jul 1, 2024
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