The Future of Data Management: Effective Governance and Democratization

We are excited to invite you to another evening of exploration and learning with Data Council Amsterdam! Join us at our beautiful office in Wibautstraat for an insightful meetup on Data Management. We’ll dive into key topics in data governance and democratization through two engaging talks from our speakers. Connect with fellow data enthusiasts and enhance your understanding of effective data management practices. Don’t miss out!

📅 Agenda:
17:45 - 18:30h 🍕 Walk-in + Snacks & Drinks
18:30 - 20:00h 🎙️ 1st talk, short break, 🎙️2nd talk
20:00 - 20:30h ☕️ Networking

📍 Location:
Xebia Data
Wibautstraat 202, Amsterdam

Sign-up instructions:

• Sign up via meetup.com
• Let us know if you have any strict dietary restrictions (e.g. vegan🌱)
• We are looking for speakers for the next events. If you would like to give a talk, let us know the topic and a contact information.

🎤 Topics:
👉 1st talk: Knowledge graphs & metadata, your main ingredients to for data democratization and data governance in a distributed model
By Peter Kromhout (Xebia Data)
Agile, distributed data teams and robust data governance policies are often seen as opposing forces, yet, they contribute equally to scaling data democratization and generating value. At NIBC, we leverage the features of modern data tools to enable a Hub-and-Spoke model while adhering to advanced data management strategies. We do that by implemeting a knowledge graph based data management framework, and leveraging metadata. A knowledge graph helps to capture the semantics and quality of your data and unravels the complexity of the data landscape. This enables you to make better-informed decisions about the use of data and the necessary (governance) actions. During this talk, we will explain what a knowledge graph for data management consists of and how to iteratively build it using a use case-driven approach. We will zoom in on a specific area of metadata and show how it is implemented using dbt.

👉 2nd talk: Databricks Unity Catalog: Unified Data Governance for Data and AI
By Anestis Pontikakis (Databricks)
The fundamental principles of governance – accountability, compliance, quality, and transparency – that are essential for data management have now become equally imperative for AI. Databricks took a pioneering approach with Unity Catalog by releasing the industry's only unified solution for data and AI governance across clouds and data platforms.
Organizations can use Unity Catalog to securely discover, access, monitor and collaborate on files, tables, ML models, notebooks and dashboards across any data platform or cloud, while also leveraging AI to boost productivity and unlock the full potential of the lakehouse environment.