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!
Discover how MLOps can streamline and scale your machine learning workflows, improve collaboration, and ensure compliance in AI initiatives.
Discover how platform engineering enhances software development by integrating technologies, standardizing workflows, and focusing on user-centric...
Discover 6 immediately implementable LLM optimization techniques to enhance AI performance, reduce resource consumption, and improve inference...
Discover how the Model Context Protocol (MCP) standardizes interactions, enhancing interoperability and automation within enterprise systems.
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.