{Blog}

The Modern Data Stack with dbt Framework

The Modern Data Stack with dbt Framework

The Modern Data Stack with dbt Framework In today's data-driven world, businesses rely on accurate and timely insights to make informed decisions and gain a competitive edge. However, the path from raw data to actionable insights can be challenging, requiring a robust...

The Journey from Traditional Ops to NoOps

The Journey from Traditional Ops to NoOps

The Journey from Traditional Ops to NoOps In the fast-changing software development landscape, organisations strive to improve their operational processes. Market studies project a 23.95% growth in the global DevOps market, with an estimated value of USD 56.2 Billion...

The Importance of Feature Engineering in ML Modelling

The Importance of Feature Engineering in ML Modelling

The Importance of Feature Engineering in ML Modelling When building Machine Learning (ML) models, we often encounter unorganised and chaotic data. In order to transform this data into explainable features, we rely on the process of feature engineering. Feature...