Content by Rafia_Aqil (8)

Rafia Aqil and co-authors present a comprehensive technical guide to disaster recovery for Azure Databricks and Microsoft Fabric, focusing on automation, cloud resiliency, and best practices for DR in analytics platforms.

Rafia Aqil and colleagues deliver an in-depth migration playbook for cloud architects and BI developers, detailing how to approach Tableau to Power BI migration using a semantic layer-first methodology on Microsoft Fabric.

Rafia Aqil, along with co-authors Amudha Palani and Peter Lo, provides a deep dive into end-to-end observability practices for Azure Databricks. This guide covers best practices for infrastructure and application logging across cloud-scale analytics workloads.

Rafia Aqil and a team of Microsoft experts deliver a comprehensive technical guide to designing, securing, and deploying Azure Databricks environments, spotlighting best practices for robust architecture and effective governance.

Rafia_Aqil and Sanjeev Nair provide a detailed, technical roadmap for optimizing Azure Databricks costs, covering discovery, configuration, data engineering, code improvements, and actionable team strategies.

Rafia Aqil, with Daya Ram, offers a thorough walkthrough on optimizing Microsoft Fabric capacity and Spark analytics, outlining practical steps for diagnostics, cluster and data best practices, and cost management.

Rafia_Aqil demonstrates secure Delta table sharing between Azure Databricks workspaces, covering NCC setup and private endpoint approval for robust data connectivity and protection.

Rafia_Aqil provides an in-depth guide comparing approaches to integrate Azure Databricks with Microsoft Fabric, helping technical teams select the best method for unified data analytics and governance.