The harsh truth about the analytics industry is that “simple doesn’t sell”. It’s challenging to advocate for simplicity in data architecture because simple solutions often appear effortless, and who wants to invest in something that looks easy? While everyone claims…
Rule engines have the potential to streamline decision-making processes by separating business logic from the application code, allowing for greater flexibility and adaptability. However, despite these benefits, the adoption of rule engines often faces significant hurdles. In this article, I’ll…
In Snowflake, databases are similar to virtual hard drives where you store data, while warehouses are the virtual compute resources you use to run analytical queries. In today’s data-driven world, having a robust and efficient data management system is crucial…
Overview: What is dbt and what can it do for your data pipeline? One tool that we recommend and often use is dbt (data build tool), which focuses on simplifying and accelerating the process of data transformation. In this blog,…
When people in analytics talk about data modelling, they usually dive right into the technical aspects. Into the pros and cons of data vault vs star schema modelling, for example. Providing a broad definition can provide some context to avoid getting stuck in the details.
Introduction In today’s data-driven world, businesses are constantly seeking ways to leverage the power of data for insights and decision-making. One popular approach is building a dashboard, a visual representation of key metrics and data points that provides a quick…
Data Build Tool (dbt) is a command line tool that helps data analysts and engineers transform, analyze, and visualize data in their warehouse. It is designed to work with popular warehouses such as Snowflake, Redshift, and BigQuery, and integrates with…
Most businesses today are data-driven, and to make sound decisions, they need access to accurate and timely data. However, setting up and maintaining a data warehouse can be costly and time-consuming. Apache Superset is an open-source tool that makes it…
Building a data warehouse can be a costly endeavor, with several factors impacting the final price tag. Factors such as the size and complexity of the data, the tools and technologies used, the number of users, and the level of…
In today’s data-driven world, companies are constantly on the lookout for new and innovative ways to extract value from the vast amounts of data they generate and collect. To meet this demand, there are three key approaches that have emerged…