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Conference Series
SDS2024
SDS2023
SDS2022
SDS2021
SDS2020
SDS2019
SDS2018
SDS2017
SDS2016
SDS2015
SDS2014
Conference Series
SDS2024
SDS2023
SDS2022
SDS2021
SDS2020
SDS2019
SDS2018
SDS2017
SDS2016
SDS2015
SDS2014
SDS2023
Keynotes
Program Committee
Sponsors & Partners
Videos & Slides
Workshops
Generative AI in Practice
Successful Adoption of Knowledge Graphs
AI-Powered Medical Image Analysis
An Introduction to Neural Networks
Responsible AI – Transparency and Fairness
Scaling Analytical Data Platforms
Geospatial Data Science
GEOSpatial Business
Data Stories: insights
Data Science Techniques
Forecasting & Meta-learning
Deep Learning for Predictive Maintenance
DataMesh in Action
Creating a Modern Data Lakehouse
Databricks brick-by-brick
Objectives
Participants will
have a clear understanding of the challenges and opportunities of scaling analytical data
platforms.
be introduced to the concept of data as products as a structured and value-driven approach to
building a scalable data architecture.
get hands-on practice in decomposing domains and products, defining single products and
weaving the entire data products into a Data Mesh.
be familiar with the organizational and governance aspects of a Data Mesh implementation.
be equipped with the tools to apply the learned concepts in their own real-life scenarios.
Agenda
13:00 – 13:20
Introduction and Input: Scaling Data Platforms
13:20 – 13:30
Introducing the Example Use Case
13:30 – 14:15
Exercise: Slicing/Defining Domains and Products
14:15 – 14:30
Break
14:30 – 15:15
Exercise: Product Definition
15:15 – 15:45
Exercise: Weaving the Mesh
15:45 – 16:00
Wrap Up
Organizers
Roman Kuczynski, Zühlke
Ivo Colombo, Zühlke
Andrea Perl, Zühlke