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cloudera

Now is the Time for Higher Education Institutions to Master Data Lineage

Mar 16, 2026 By Jeremiah Morrow In Cloudera
In today's state, local, and education (SLED) environments—especially higher education—budgets are under constant scrutiny, and the demand for data excellence is constant. That means doing more with fewer resources. One high-impact change to your data workflows that can transform the quality of your data and AI while lowering costs is automating and documenting data lineage.
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Evolve25: Fueling the AI Future Data, Deployment and Tangible Outcomes

Mar 16, 2026 By Cloudera, Inc. In Cloudera
Discover why "Hybrid-Multi-Cloud" has moved from a theory to a regulatory necessity and how a unified data fabric overcomes the "Data Gravity" challenge. Learn the four success factors for moving beyond "Pilot Purgatory," including the role of acquisitions like Octopai and Taikun in building a frictionless consumption model. Moorhead shares insights from his global meetings with CEOs on closing the AI skills gap and achieving tangible outcomes in 2025.
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Unlock Your Data's Potential with Cloudera's Unified Data Fabric #Cloudera #AI #Tech #Shorts

Mar 16, 2026 By Cloudera, Inc. In Cloudera
Stop hunting for data and start using it. Most businesses struggle to see their complete data picture, but Cloudera’s unified data fabric changes the game. Our solution provides a comprehensive view across your entire data estate—whether it's in the cloud, on-premises, legacy systems, or third-party sources. By automating discovery, lineage, and governance, Cloudera ensures you know exactly what data exists, its origin, how it’s being utilized, and if it's being used correctly.
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dreamfactory

Zero-ETL Database APIs: Live Data Without Data Movement | DreamFactory

Mar 16, 2026 By Kevin Hood In DreamFactory
Zero-ETL Database APIs let you access live data instantly without needing traditional ETL processes. Instead of extracting, transforming, and loading data, these APIs query databases directly in real-time, significantly reducing delays that can span hours. Key features include federated querying (accessing multiple data sources simultaneously) and schema-on-read (applying schemas dynamically during queries).
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ClearML

ClearML + NVIDIA Cosmos: ClearML Launches One Platform for NVIDIA Cosmos Deployment and the NVIDIA Video Search & Summarization Blueprint

Mar 16, 2026 By ClearML In ClearML
ClearML’s out-of-the-box NVIDIA NIM integration brings NVIDIA Cosmos Reason 2 into production in minutes, providing the complete infrastructure, orchestration, vector database, and security stack to run NVIDIA Video Search & Summarization blueprint at enterprise scale.
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confluent

The Rise of the Open Security Lake: Why CISOs Are Betting on Open Table Formats

Mar 16, 2026 By William LaForest In Confluent
As we head into the RSA Conference this year, the conversation on the show floor is going to be different. Yes, artificial intelligence (AI) will be everywhere. But if you listen closely to the C-suite discussions happening behind closed doors, the real buzz isn't just about the newest detection algorithm. It’s about data gravity and the unprecedented data explosion driven by AI-fueled bad actors.
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alphabin

Complete Guide to Testing LLM-Powered Applications

Mar 16, 2026 By Pratik Patel In Alphabin
Your AI chatbot might give a customer the wrong price. A RAG-based support agent might cite a document that doesn’t exist. An AI coding assistant might suggest code with a security problem. These issues are common for teams releasing LLM features without proper testing. The reality is that many teams using GPT, Claude, or Gemini don’t have a strong testing strategy. They usually do a few manual checks or simple prompt tests and assume it’s enough.
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