Tag: #datamanagement
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Governance on AI Agents: Ensuring Control, Transparency, and Safety
What happens when an AI agent makes a decision that negatively impacts your business? According to a recent MIT study, 68% of organisations deploying autonomous AI agents report experiencing at least one significant incident related to misaligned agent behaviour in their first year of deployment. As AI agents become more capable and widespread, the need…
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Power BI Semantic Model Version History – A Game Changer for Data Management
Managing changes in a Power BI semantic model has always been a challenge, especially when working in a self-service environment. Mistakes happen, and without a proper versioning system, rolling back to a previous state was difficult. But with Semantic Model Version History (Preview), Power BI introduces a much-needed solution to track, restore, and manage model versions effortlessly. What is Semantic Model…
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The Power of Timezone Conversion in PySpark: Boost Business Efficiency and Insights by Localizing Timestamps
In today’s increasingly globalized business landscape, data doesn’t operate within a single timezone. Whether you’re tracking e-commerce transactions, customer service interactions, or website activity, timestamps are often recorded in UTC (Coordinated Universal Time). While UTC ensures consistency, businesses need local time zones for accurate, actionable insights. Converting UTC timestamps to local time based on a country’s specific…
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Simplifying Data Governance with UCX: A Practical Guide to Installation and Configuration on Databricks
In today’s data-driven world, effective data governance is paramount to ensure data quality, security, and compliance. Unity Catalog offers a robust solution for organizations seeking to streamline their data management practices. This comprehensive guide will walk you through the process of installing and configuring UCX on Databricks, empowering you to simplify data governance and unlock…