In-depth articles discussing principles, practices, use cases, guides, and models that cover everything from Data Governance policies to Data Mesh architectures
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Navigating data privacy with large language models: Learn about risks and challenges for secure and compliant implementation in the age of AI.
Explore the distinctions between AI agents and tools, their real-world applications, and their future implications for businesses and technology.
Discover how Agentic AI is revolutionizing business operations with autonomous decision-making, personalized customer experiences, and enhanced...
Discover data catalogs' critical role in successful data platform initiatives, in this first part of the series.
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.