In-depth articles discussing principles, practices, use cases, guides, and models that cover everything from Data Governance policies to Data Mesh architectures
Expand your knowledge below!
Learn how to locally replicate cloud infrastructure using Docker, Dremio, LocalStack, and Spark for testing and experimentation.
Explore a practical FinOps architecture for data products, focusing on cost control, ownership principles, and effective cost attribution models
Understanding the true essence of data products for effective decentralization and ownership.
Learn how to build a Spark Connect client with a console-based tool in Ruby, step-by-step.
Explore how Data Platform Shaper models complex data platforms using flexible metadata catalogs and mapping mechanisms.
Learn how to monitor Neo4j efficiently using Dynatrace and identify performance bottlenecks in a clustered environment.
Discover how to optimize the data value chain for business decisions and navigate an internal data market effectively.
Explore how the convergence of Data Mesh and ESG offers organizations a unique opportunity to drive sustainability and create long-term value.
Discover the evolution of literate programming through a new spin on code documentation, tools, and implementation in this insightful blog post.
Discover the 2 critical steps to achieve domain-oriented ownership and streamline the data value chain for better decision-making in the era of Data...
Explore the importance of prioritizing practices over tools in data engineering projects.
Explore a revolutionary approach to modelling Data Products with the Unified Star Schema, simplifying data consumption and promoting self-service...
Learn how to manage cloud costs effectively within a Data Mesh framework using FinOps principles and best practices.
Learn about the principles of Elite Data Engineering that enhance modern data management practices.
Unlock productivity & reduce cognitive load for data engineers with platform engineering. Streamline processes, enforce best practices, & automate...
This article covers the theory of organizational culture and leadership as a framework to analyze and address cultural actions.
This contribution wants to shed a light on some of the limits that a Data Mesh implementation will experience sooner or later.