How to Analyze and Govern Gemini Enterprise App Usage at Scale with BigQuery
Learn how to use BigQuery to analyze Gemini Enterprise usage logs, audit compliance, and build Looker dashboards at scale for your organization.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Extracting and Harvesting Metadata for Cloudera Data Lineage
This is a comprehensive walkthrough of the metadata extraction process for Cloudera Data Lineage. Learn how to utilize the harvesting agent to set up a new metadata source, such as Informatica Oracle, and perform a local extraction. The video demonstrates how the agent securely reads metadata from databases, ETL tools, and reporting systems, staging it as local XML files to ensure data does not leave the network without explicit action.
Cloudera Agent Studio & Iceberg MCP to Monitor Table Health
In this video, Cloudera’s Dipankar demonstrates how to build an AI agent in Cloudera Agent Studio powered by an open-source Apache Iceberg MCP Server. As a real-world use case, the agent monitors Apache Iceberg table health by analyzing metadata for issues such as small files, partition skew, snapshot history, and other operational signals. Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.
The Gap Between AI-Capable and AI-Ready
Most enterprises are spending on AI faster than they’re becoming ready to run it. Over the next two years, IT leaders plan to grow their AI investment by 70%, according to our 2025 State of Data Infrastructure Global Report. The capability keeps arriving. The readiness to operate it does not keep pace.
How Agentic AI and Cloudera are Transforming Crisis Response
Can AI actually save lives? In this video, see how Cloudera and Mercy Corps have partnered to put people—not just technology—at the heart of humanitarian aid. Through a two-and-a-half-year collaboration, we’ve worked side-by-side with analysts to map real-world workflows and co-create AI solutions that solve their most pressing daily challenges.
Jet Analytics Flyover
See Jet Analytics in Action Watch how Jet Analytics helps Microsoft Dynamics organizations connect to modern cloud platforms in hours — not months — while eliminating the fragmented data stack that slows teams down and drives up costs. This flyover demo shows how a unified, zero-access platform delivers the governed, AI-ready data foundation your organization needs, without rebuilding pipelines from scratch or starting over.
Decoding the Data Fabric: From Regulation to Runtime
Spend enough time in the data management world, and you’ll quickly encounter a flood of terminology: semantic layers, knowledge graphs, unified metadata, governance fabrics, data meshes, and, of course, agentic AI. Most organizations know these aspects matter, yet many still struggle to understand how they fit together. The problem with traditional data architecture is that it is often treated as purely technical.
Proving ROI on On-Premises BI: Quantify Data Security Value for CFOs and CIOs
Most teams can explain why sensitive BI data should stay on-premises. Far fewer can explain what that decision is worth in dollars. That gap matters. IT can see the control benefits. Finance wants numbers. Executives want a simple answer: what risk drops, what costs change, and what value shows up over 3 to 5 years? This is where a business case beats a technical pitch. On-premises BI can protect sensitive data, support compliance, and give teams direct control over hosting.
Stop Saying "Data Governance." Say This Instead.
Stop saying "Data Governance." Start saying Data Enablement. If your team thinks governance is just red tape, you’re doing it wrong. True governance is a foundation of accountability that ensures high-quality data flows everywhere. Bring your team along on the journey. Show them that a little bit of process right now means they get to make decisions faster and better tomorrow. Trust the data. Speed up the business. Learn more from Swire Coca-Cola's Bharathi Rajan on podcast.
Why Cloudera Data in Motion? #RealTimeAI #DataInMotion
Unlock the full potential of your data fabric and accelerate your AI journey with Cloudera Data in Motion. Many organizations struggle with massive amounts of diverse data spread across different formats, vendors, and locations—whether in the cloud or on-premises data centers. Cloudera provides the scalable, performant data services needed to move and process this information in real-time. Discover how Cloudera’s open-source approach can help you unlock the power of your data anywhere.