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!

Data modeling is crucial due to the increased number of data sources, diverse data consumers, and the need for optimization (both speed and cost). Mike Kahan briefly showed different modeling approaches, e.g., Star Schema and Data Vault 2.0. At the end, he delves into hybrid approaches. Have you used hybrid approaches before? If so, which modeling approaches did you mix together and how?

Hi everyone! I'm looking for recommendations on where to learn more about Data Governance, especially from a strategic and requirements perspective, rather than just technical-focused content. Any good courses, training programs, or resources that dive deeper into governance frameworks and best practices? I’d appreciate your insights!

https://www.rnz.co.nz/news/business/527419/inland-revenue-giving-thousands-of-taxpayers-details-to-social-media-platforms-for-ad-campaigns?fbclid=IwY2xjawFLSwJleHRuA2FlbQIxMAABHfiQoZd2lKNuLPKWDo5IrGSrtYtTKNwWBrS0kfJBtccVTTWP9FPKrjY3zg_aem_jp9YxiznNYVeVO5Oo9wqfA

There are so many tools out there, but I found this video on YouTube. It did a good job of breaking down the essentials. Here's a quick list of the tools mentioned: - Basics: SQL, Python, Linux, bash scripting, network understanding - Technical Basics: Git, SFTP, PGP - Databases: PostgreSQL, MySQL, MongoDB - Data Platforms: Snowflake, Databricks, BigQuery, Redshift, Azure Synapse Analytics - Orchestration, ETL & Data Pipelines: Airflow, Dagster, SSAS, Azure Data Factory - Cloud: AWS, Azure, GCP - Others: Docker, Kubernetes, Terraform If you had to give advice on where to start, what would that be? What are your favored tools?