Data Orchestration Trends: The Shift From Data Pipelines to Data Products
Let us briefly touch on the concepts of data science and data engineering. If we go back to the DIKW triangle, we can say that data science focuses on extracting knowledge and wisdom from the information we have. Data scientists combine tools from mathematics and statistics to analyze information to arrive at insights. Exponentially increasing amou
... See morePierre Pureur • Continuous Architecture in Practice: Software Architecture in the Age of Agility and DevOps (Addison-Wesley Signature Series (Vernon))
Koheesio
CI/CD
Package
Meta
Koheesio, named after the Finnish word for cohesion, is a robust Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
The framework is versatile, aiming to support multiple implementations and working sea... See more
CI/CD
Package
Meta
Koheesio, named after the Finnish word for cohesion, is a robust Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
The framework is versatile, aiming to support multiple implementations and working sea... See more
GitHub - Nike-Inc/koheesio: Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
