When it comes to managing data pipelines, testing is the unsung hero that prevents you from inheriting headaches caused by bad data downstream. While DBT offers built-in tests like unique, not_null, and relationships, real-world scenarios often demand more sophisticated testing strategies to handle complex data validation. This blog dives into custom DBT tests that can … Continue reading DBT Testing Beyond Basics
Category: Data Warehouse
The SCD’s – Slowly Changing Dimensions
Slowly Changing Dimensions (SCDs) are an essential concept in data warehousing and business intelligence. They refer to how data that changes slowly over time is managed within a data warehouse to ensure historical accuracy and consistency. Let's dive into the different types of SCDs and illustrate each with an example. Types of Slowly Changing Dimensions … Continue reading The SCD’s – Slowly Changing Dimensions
ETL vs ELT : Finding the Best Fit for Your Data Strategy
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two approaches to data integration and processing, particularly in the context of building data warehouses or data lakes. Here's a comparison of ETL and ELT: Sequence of Operations: ETL: In ETL, data is first extracted from the source systems, then transformed according to the business … Continue reading ETL vs ELT : Finding the Best Fit for Your Data Strategy
Data Warehouse
What is a Data Warehouse? Imagine having a business and accessing tons of available information from different data sources. Tiring, right? That's where the data warehousing comes into picture. It basically aggregates data from many different sources to single destination. It helps businesses streamline their workflow and stay on top of their game. Think of it as a giant organized office achieve specially designed … Continue reading Data Warehouse
The Analytics Clan 