Five days inside Snowflake Data Governance – Know your Data

Snowflake Data Governance - Know your Data

Know your Data

This aspect of Snowflake’s Data Governance Framework is all about understanding your data and its quality, lineage, and usage. It answers questions about the What & the Where (Classification & Object Tagging) and the Who (Account Usage and Access History) of your data.

Five days inside Snowflake Data Governance – Intro

Five Days inside - Snowflake Data Governance

Next to being a Snowflake Data Cloud enthusiast and part of the Snowflake ❄️ Data Superheroes 2023, I am General Manager at Pong. We provide Professional Services where we help organizations solve data related challenges. We believe building data products with e.g. Snowflake, can only succeed when the fundament is in place. For us this fundament can be achieved by applying Data Governance. That’s why I am really interested which elements of Data Governance are supported by Snowflake.

Introducing Snowflake Worksheets for Python

Introducing Snowflake Worksheets for Python

Recently Snowflake made working with Python from within Snowflake a little bit better. ‘Snowflake Worksheets for Python’ is in Public Preview, available for use for everybody. Time to find out how it works. Generate Faker Data I am planning a series of blogpost regarding Snowflake Data Governance in combination with Alation. Therefore I need some […]

Data Quality Framework in Snowflake & Streamlit

Data is one of the most important assets in organizations today. If you cannot trust the Data, decision making based on this Data is impossible. Measuring Data Quality is therefor essential. Inspired by the blogpost; “Data Quality Framework in Snowflake” of Divya Rajesh Surana, I decided to take it one step further by including Streamlit.

Plotting F1 Circuit Locations into a map on Streamlit using Folium

Plotting F1 Circuit Locations into a map on Streamlit using Folium

In my last blogpost I showed how to plot F1 Circuit Locations into a map using Folium. This was a very static way to plot the F1 Circuit Locations either for the World, Europe or France. These options were hardcoded in the notebook and showed after each other.

Next step would be to make the solution more interactive, using Streamlit. The idea is to switch between the World, a possible Continent and a possible Country.

BUILD.local – Building an Interactive Data App with Snowflake & Streamlit

BUILD.local Building an Interactive Data App with Snowflake & Streamlit

During this meeting Dutch local Data Superhero, Daan Bakboord, will give an overview and demo of building a data app with Snowflake and Streamlit. Daan will begin by showing you how you can interact with Snowflake from Python, and then demonstrate how easy it is to make an interactive data application in Streamlit.