Level Up Your Column-level Security: Using IAM Data Governance Tags in BigQuery
Learn how to manage column-level access controls in BigQuery using IAM data governance tags, ensuring secure, scalable data classification and protection.
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Modern Software Development For Today's Systems & Applications
The Reason Behind Stalled AI Projects
As enterprises race to adopt AI, weak data foundations are preventing more than half (58%) of organizations in the United States and Canada from realizing value and contributing to an estimated $108 billion in wasted global AI investment each year, according to a report from Hitachi Vantara. The reason is rarely bad models or lack of ambition.
How Cloudera Powers Agentic Workflows? #DataInMotion #Cloudera
Ready to eliminate data delays and fuel your AI models with trusted, real-time insights? In this video, we break down how Cloudera Data in Motion allows organizations to unlock the full potential of their data fabric. Whether your corporate datasets are scattered across diverse storage systems, multiple cloud vendors, or on-premises data centers, Cloudera provides the scalable, engine-agnostic data services required to stream and process information instantly—without needing to redesign or refactor your existing pipelines.
Bridging the gap between SQL and Python with BigQuery and the %%bqsql magic
Seamlessly chain Python and SQL in Jupyter notebooks using BigQuery DataFrames and the %%bqsql cell magic. Learn how in this step-by-step guide.
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.
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.