In the final blog post of the data architecture series, we’ll take a look at how Daltix can provide everyone who requires their data access in a way that suits them. To answer that, we’ll examine our two data setups and explain our experiences and how they fit into our data architecture.
In this blog post we’ll zoom in on the different parts in our data architecture giving more details around how everything’s set up, and why. We’ll discuss what happens to the data when it first arrives in our data lake: the raw and extracted layers.
We analysed price and promotion evolutions on grocery retail data in Belgium and recorded two 5 minute videos on insights and key conclusions. Listen in!
In the largest independent analysis to date of price data from the supermarkets Edeka and Rewe and the delivery service Flink, Daltix compared the price structure from the supermarkets to Germany’s currently largest delivery service.
Discover how Daltix makes it happen with Snowflake’s data cloud. Daltix’s product data aggregation platform blends multiple datasets to give its clients up-to-date regional and competitor insights through a single dashboard.