Evolve25: Event Intro & Today's Cloudera with our CEO Charles Sansbury

Cloudera CEO Charles Sansbury kicks off Evolve 25 New York by defining the "Era of Convergence" and the rise of Private AI. Discover how Cloudera is managing over 25 exabytes of data to help global leaders move from horizontal AI use cases to business-unit centric ROI. Charles details the strategic acquisitions of Octopai and Taikun, explaining how they bridge the gap between "Command & Control" and "Cloud Convenience." Learn how to operationalize high-fidelity data to drive "Everywhere AI" across hybrid environments without compromising security.

What's New in Confluent Clients for Kafka: Python Async GA, Schema Registry Upgrades

Hey, fellow Apache Kafka developers! It’s time for another update on the Confluent client ecosystem. Following our recent architectural milestones, we’re excited to announce the release of librdkafka 2.13.0, which powers the latest versions of our Python, JavaScript, .NET, Go, and C/C++ clients. In this release, you’ll find numerous improvements to the Python experience as well as critical security and Schema Registry enhancements for everyone.

The Tax Exchange Series

Tax is strategy, risk, technology, and real business impact all rolled into one. Our video series brings together practitioners sharing what’s actually working right now. From transfer pricing pressure and global regulatory shifts to AI, ERP realities, and elevating tax’s voice in business decisions, these conversations focus on practical insight you can actually use. Real perspectives. Straightforward conversations. No fluff.

The Fastest Route to AI-Ready Data - Analyst Studio Demo

Most data teams spend 80% of their time prepping data instead of driving strategy. In the agentic era, that's not just slow—it's a blocker. In this session, Anjali Kumari demonstrates how to go from raw, siloed data to trusted insights in under 10 minutes. This segment shows you how to empower your team with AI-ready data without the pipeline sprawl or surprise cloud bills. In this video, you’ll see a live walkthrough of how to.

Enterprise AI Infrastructure Security Series - 2) Identity Provider Setup, Group Sync & Access Rules

In this video we walk through setting up and testing an identity provider (Azure Entra ID) with ClearML Enterprise, enabling group synchronization to automate user onboarding, and then using platform access rules to secure the resources available to your teams and agents. What we cover: This is Part 2 of our series on enterprise AI infrastructure security.

Why Native Observability is the Heart of Hybrid Cloud

In the current enterprise technology landscape, we’re witnessing an industry-wide scramble. As organizations shift from monolithic architectures to complex environments leveraging heterogeneous infrastructures, cloud-based data platforms are hitting a visibility—i.e., observability—wall. Their response has been a wave of reactive, multi-billion-dollar acquisitions designed to "bolt-on" the observability that they lack natively.

Confluent Intelligence expands real-time business data to enterprise AI

Support for the Agent2Agent protocol helps connect AI agents anywhere in real time so they can collaborate at enterprise scale. Multivariate Anomaly Detection takes anomaly detection to the next level, stopping problems before they start.

Analytics that respond: Inside Yellowfin 9.17

The fun part of data analysis: Chatting with your data Taking BI on-the-go with a Responsive UI Putting you in control of your reports Enterprise scale without the headache Final thoughts Business decisions rarely happen in a straight line. They involve follow-ups, hunches, and "wait, what about...?" moments. Your BI software should be able to keep up. With the release of Yellowfin 9.17, we are making analytics feel more conversational, more flexible, and easier to use in the moments that matter.

What is an Open Table Format in a Lakehouse Architecture? (ft. Apache Iceberg)

In this video, Cloudera's Director of Developers, Dipankar breaks down what an open table format actually is in a Lakehouse architecture. Table formats are not new and Databases have had their own storage formats for decades. But in the lakehouse world, things have changed. In this video, Dipankar walks through.