In the previous post, we briefly introduced the three main data modelling approaches— Inmon , Kimball , and Data Vault —using a fun and...

When it comes to modelling data for data warehouses, there are several approaches, but the three most prominent ones you're likely to...

Cultural habits and practices Recently, I’ve been exploring Fundamentals of Data Engineering  by Joe Reis and Matt Housley, which...

Choosing the right tools In the previous post, we explored a framework for translating data requirements into a robust data...

I recently completed the DeepLearning.ai Data Engineering Professional Certificate , and one topic that stood out to me was the...

Overview I collaborated with a multi-cloud data consulting firm to implement this project, leveraging existing Azure Databricks...

As part of my annual 'learn-unlearn-relearn' practice, I’ve focused on developing a deeper, more comprehensive understanding of Data...

Overview This proof-of-concept project, developed during the COVID-19 pandemic, showcases an end-to-end Natural Language Processing...

Overview While creating an AWS Lambda function deployment package (zip file) for one of my ETL projects, we encountered the frustrating...