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Privacy by Design: PII Detection and Anonymization with PySpark on Microsoft Fabric

  • Headshot of article author juni 12, 2025 door RK Iyer 3.438 Weergaven

Introduction Whether you’re building analytics pipelines or conversational AI systems, the risk of exposing sensitive data is real. AI models trained on unfiltered datasets can inadvertently memorize and regurgitate PII, leading to compliance violations and reputational damage. This blog explores how to build scalable, secure, and compliant data workflows using PySpark, Microsoft Presidio, and Faker—covering … Continue reading “Privacy by Design: PII Detection and Anonymization with PySpark on Microsoft Fabric”

Integrating Fabric with Databricks using private network

Microsoft Fabric and Azure Databricks are widely used data platforms. This article aims to address the requirement of customers who have large data estates in Azure databricks and want to unlock additional use cases in Microsoft Fabric arising out of different business teams. When integrating the two platforms, a crucial security requirement is to ensure … Continue reading “Integrating Fabric with Databricks using private network”

SharePoint files destination the first file-based destination for Dataflows Gen2

The introduction of file-based destinations for Dataflows Gen2 marks a significant step forward in enhancing collaboration, historical tracking, and sharing data for business users. This development begins with SharePoint file destinations in CSV format, offering a streamlined way to share with users on the SharePoint platform. Overview of file-based destinations File-based destinations allow data to … Continue reading “SharePoint files destination the first file-based destination for Dataflows Gen2”

AI-powered development with Copilot for Data pipeline – Boost your productivity in understanding and updating pipeline

Understanding complex data pipelines created by others can often be a challenging task, especially when users must review each activity individually to understand its configurations, settings, and functions. Additionally, manul updates to general settings, such as timeout and retry parameters, across multiple activities can be time-consuming and tedious. Copilot for Data pipeline introduces advanced capabilities … Continue reading “AI-powered development with Copilot for Data pipeline – Boost your productivity in understanding and updating pipeline”