Azure Deployment Environments: Self-Service Infrastructure for Developers
Deployment Environments enables platform engineering teams to provide governed self-service infrastructure to developers. Tomorrow, I will cover Azure…
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
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Deployment Environments enables platform engineering teams to provide governed self-service infrastructure to developers. Tomorrow, I will cover Azure…
Dev Box simplifies developer onboarding and ensures consistent development environments. Tomorrow, I will cover Azure Deployment Environments.
Hybrid retrieval improves RAG quality by combining the strengths of different search approaches. Tomorrow, I will cover Azure Dev Box and development…
At Microsoft Build 2023 on May 23, Satya Nadella announced Microsoft Fabric with the phrase "perhaps the biggest launch of a data product from Microsoft…
Vector search enables powerful semantic search capabilities. Tomorrow, I will cover hybrid retrieval patterns in more detail.
All in ONE cohesive experience with ONE security model and ONE business model. At the heart of Fabric is OneLake - think of it as "OneDrive for data." It's…
Responsible AI is not optional - it is essential for building AI systems that users and organizations can trust. Tomorrow, I will cover the Azure Content…
Azure ML continues to evolve as a comprehensive platform for both traditional ML and GenAI workloads. Tomorrow, I will cover Responsible AI improvements in…
Prompt Flow provides the foundation for building production-grade LLM applications. Tomorrow, I will cover Azure Machine Learning updates from Build 2023.
Azure AI Studio provides a comprehensive environment for building, testing, and deploying AI applications. Tomorrow, I will cover Prompt Flow in more detail.
Function calling transforms GPT models into powerful agents that can interact with the real world. Tomorrow, I will cover Azure AI Studio in more detail.
ChatGPT plugins extend AI capabilities with real-time data and actions. Tomorrow, I will cover function calling patterns in more depth.
Azure OpenAI is becoming the enterprise-grade platform for building generative AI applications. Tomorrow, I will cover building plugins for ChatGPT.
The fastest approach uses OneLake shortcuts to reference existing data without copying. Run Fabric alongside existing platform during transition.
Both Synapse and Fabric are excellent platforms. The choice depends on your specific requirements, existing investments, and organizational priorities.
A Fabric workspace is the collaboration boundary in Microsoft Fabric—the container where Fabric items (Lakehouses, Warehouses, Notebooks, Pipelines, KQL…
Understanding Fabric licensing helps you plan costs and ensure users have appropriate access. Tomorrow, I will cover Fabric Workspace configuration and…
A Fabric Capacity is a pool of compute resources that powers all Fabric workloads in assigned workspaces. Unlike traditional Azure services where you…
Power BI in Fabric provides seamless BI capabilities that connect directly to your unified data layer. Tomorrow, I will cover Fabric Capacities and pricing.
Real-Time Analytics in Fabric provides powerful streaming capabilities for time-sensitive workloads. Tomorrow, I will cover Power BI integration in Fabric.
The Fabric Data Warehouse provides enterprise SQL analytics without infrastructure management. Tomorrow, I will cover Synapse Real-Time Analytics for…
Fabric's Data Science experience integrates seamlessly with the rest of the platform, allowing you to go from raw data in Lakehouse to deployed models in a…
Synapse Data Engineering in Fabric provides a managed Spark experience that removes infrastructure concerns while delivering the full power of Apache Spark.…
Data Pipelines in Fabric are similar to Azure Data Factory pipelines but with deeper Fabric integration.