Content by AnaviNahar (8)

AnaviNahar walks through a near-real-time ingestion and transformation setup on Azure Databricks using Lakeflow (Connect, Spark Declarative Pipelines, and Jobs), covering CDC from SQL Server, streaming telemetry ingestion, Bronze/Silver/Gold modeling, Unity Catalog governance, and monitoring via system tables.

AnaviNahar introduces Azure Databricks Lakebase, now generally available, highlighting its serverless architecture and AI-native features for building real-time, intelligent applications on Azure.

AnaviNahar introduces the general availability of Serverless Workspaces in Azure Databricks, detailing their architecture and guidance for when to choose Serverless or Classic models.

AnaviNahar announces the public preview of Serverless workspaces in Azure Databricks, describing how this feature streamlines setup for analytics and AI projects by automating infrastructure management and governance.

AnaviNahar, in collaboration with Toussaint Webb, outlines how teams can easily integrate Azure Databricks Genie spaces with Copilot Studio and Microsoft Foundry agents, unlocking scalable conversational analytics across Microsoft platforms.

AnaviNahar announces the general availability of SAP Business Data Cloud Connect for Azure Databricks, enabling unified, secure, and compliant live data sharing and analytics integration on Azure.

AnaviNahar announces the general availability of Automatic Identity Management (AIM) for seamless integration between Entra ID and Azure Databricks, eliminating manual user management and enabling enterprise-scale automation.

Anavi Nahar shares a detailed walkthrough of how the new Azure Databricks connector for Power Platform allows Power BI users to write data back to Azure Databricks in real time, creating actionable analytics workflows.