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zero trust data security

Data Governance Automation: What It Actually Means in 2026

TL;DR Data governance automation means using AI-powered tools to classify, monitor, and enforce data policies continuously, instead of relying on periodic manual reviews. Platforms like Microsoft Purview, Collibra, Atlan, Alation, and Informatica IDMC each handle this differently depending on your stack. The right starting point is a data estate audit, followed by clearly defined policies, a single pilot domain, and measurable expansion from there. For regulated

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Databricks Photon

Databricks Photon: The Vectorized Engine Behind Lakehouse Performance in 2026

TL;DR Photon is the native C++ vectorized engine built into every Databricks SQL warehouse and serverless cluster. It replaces JVM-based Spark execution at the operator level, processing data in columnar batches using SIMD instructions for 3x to 8x average speedups on SQL and ETL workloads. The catch: Photon clusters cost more per DBU, and Python UDFs, stateful streaming, and some

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Our Informative Video Library

FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika

Kanerika Inc. June 15th

Migrating Legacy QlikView Reporting to Real-Time Power BI Analytics | Case Study

Kanerika Inc. June 3rd

Enhancing Brand Compliance and Approval Workflows with Conversational AI

Kanerika Inc. May 18th

Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

Kanerika Inc. May 13th

Data Accuracy in Premium Reconciliation with Automation for Fortegra | Kanerika's case study

Kanerika Inc. April 14th

Enabling Faster Insights with Informatica to Microsoft Fabric Migration

Kanerika Inc. April 5th

How Microsoft Fabric Improved Sales & Financial KPIs for a Leading Pharma Manufacturer

Kanerika Inc. January 20th

How Microsoft Fabric Helps Reduce Cost & Boost Data Performance: A Case Study

Kanerika Inc. December 14th

Enhancing Decision-Making and Reducing Costs with Power BI.

Kanerika Inc. November 24th

$1.2M

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50%

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30%

Reduction in Project Timelines for Pharmaceutical Firms

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