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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. What is Azure Synapse Analytics? What is Azure Key Vault Secret?

Azure 91
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Mastering Azure management: A comparative analysis of leading cloud platforms

CIO

Azures growing adoption among companies leveraging cloud platforms highlights the increasing need for effective cloud resource management. Enterprises must focus on resource provisioning, automation, and monitoring to optimize cloud environments. As Azure environments grow, managing and optimizing costs becomes paramount.

Azure 88
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Google’s AI innovations at Cloud Next 2025: What CIOs need to know

CIO

At Cloud Next 2025, Google announced several updates that could help CIOs adopt and scale agents while reducing integration complexity and costs. While Microsoft offers agent-building capabilities via Copilot Studio and Azure Studio inside Azure AI Foundry, AWS offers agent-building capabilities via Amazon Bedrock.

Cloud 139
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Trade routes of the digital age: How data gravity shapes cloud strategy

CIO

However, trade along the Silk Road was not just a matter of distance; it was shaped by numerous constraints much like todays data movement in cloud environments. Merchants had to navigate complex toll systems imposed by regional rulers, much as cloud providers impose egress fees that make it costly to move data between platforms.

Strategy 164
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The Practical Guide to Using a Semantic Layer for Data & Analytics

How to enable data teams to model and deliver a semantic layer on data in the cloud. Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. You’ll learn how a semantic layer delivers massive ROI with streamlined query performance, concurrency, cost management, and ease of use.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO

Re-platforming to reduce friction Marsh McLennan had been running several strategic data centers globally, with some workloads on the cloud that had sprung up organically. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

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The future of data: A 5-pillar approach to modern data management

CIO

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. The choice of vendors should align with the broader cloud or on-premises strategy.

Data 167