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As Snowflake becomes more and more feature rich, we’ve become surrounded by all manner of suffixes to the word “Snow.” In this post, I’ll summarise the tools available and what their intended use is. This is only meant to be a brief overview, so I’ve...

Welcome back to our journey in maturing analytics. In Part 3, we discussed why user adoption stumbles and explored different delivery paths for analytics. Now, in Part 4, we will talk about product management. I know — you’re in analytics and data. What does that have...

Being an avid music lover, I always wondered about various factors that make up an entire song. This project provided me an opportunity to do so. I stumbled upon an amazing data source in Kaggle that had authentic Spotify data with a lot of key...

Over the last couple of years, there has been a lot of interest in the data mesh architecture first proposed back in 2018 by Zhamak Dehghani. It offers a practical alternative to the previously dominant notion of a single centralised data warehouse. Trying to gather...

Welcome back to our journey in maturing analytics. In Part 1, we looked at our job to be done and why it wasn’t building dashboards. In Part 2, we dove into the details of how dashboards can be a mismatch to users’ needs. Now, we’ll...

File formats are database objects used by snowflake to ingest flat files. Consider file formats as your way of giving snowflake information about the file so it knows how to ingest those flat files in an optimal fashion. You specify the type of file along...

You may have the job title of data analyst, or you may work in HR or sales. Regardless, the versatility of modern data visualization tools allows everyone access to self-serve analytics. If you already have Tableau experience but are interested in Power BI, this is...

Customer Question: "When I’m using filters on my map visualization, if the filter returns null values for any state, that state disappears from the map. How can I make a map that will show state outlines even when there’s no data?" There are, as with many...

In this six-part series, we’ve discussed the adoption history, planning a BI Rollout, decentralizing ownership of data workflows and operational definitions of key terms like data governance, data lineage and data provenance. We discussed change management and ideas for spreading data literacy throughout your company...

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