Excited to have Krishna Birla, a Senior Software Engineer at Cloudera, as our expert speaker. Krishna specializes in Resource Management and Multitenancy in Kubernetes for the Compute Platform team. With his diverse experience in Cloud Computing, Kubernetes, and open-source contributions, Krishna is eager to share his knowledge on Apache YuniKorn.

Ever wonder how your favorite movie went from script to screen? You might just be surprised by the answer because lights, camera and action aren't the only ingredients that go into a blockbuster today. Lots of data does too. Learn how Traci Hainsworth helped pioneer a data-driven greenlighting process at one of Hollywood's biggest studio and how data has reshaped the way movies are made.

In this lively and interactive session, our distinguished speaker, Pierre Villard, Director of Product Management - Data in Motion at Cloudera, guided through the essentials of Apache NiFi, an innovative platform that streamlines and automates the flow of data between systems.

Prepare your company for a dynamic future with Cloudera. Your teams can run any application, any data, on any infrastructure and move freely between them while maintaining security and governance. It's the open data lakehouse for trusted AI, and for whatever innovation comes next. Stay agile, stay ahead with Cloudera.

Cloudera emphasizes the importance of trusted data for reliable AI. We've introduced Open Data Lakehouse for private cloud, incorporating Apache Iceberg for enhanced data management and security. This empowers analysts and data scientists with direct access to all data, including real-time streaming. Iceberg's capabilities reduce silos, lower storage costs, and mitigate business risks. We also focus on scalability, introducing features like snapshots and user quotas in Apache Ozone. Cloudera prioritizes enterprise readiness with Zero Downtime Upgrades and broader hardware and software support.

In this video we discuss the reasons why fine-tuning is needed to create mroe contextual accurate LLMs, and the methods that you can do to accomplish this. We also give a demo of our newest Applied ML Prototype (AMP) which demonstrates how to implement LLM fine-tuning jobs that make use of the QLoRA and Accelerate implementations available in the PEFT open-source library from Huggingface and an example application that swaps the fine-tuned adapters in real time for inference targetting different tasks. Learn more at cloudera.com#ai #ml.

Open more possibilities with an open data lakehouse. As the industry’s first open data lakehouse, Cloudera Data Platform delivers scalable performance and efficiency to enable smarter business decisions—paving the safest, fastest path from data to AI. Cloudera, together with Intel and HPE, can power analytics and AI at scale across any CSP or private cloud infrastructure.

Red Hat and Cloudera have joined forces to enable customers to take advantage of the cloud with full confidence, especially in the financial services industry, where data protection is critical. Red Hat Payment Industry Lead, Ramon Villarreal describes how collaborating with Cloudera provides leading financial services organizations with data resiliency, performance and expedited time to market as they leverage the cloud to move and manipulate massive amounts of data.

This collaborative meetup was designed to bring together individuals interested in exploring the basics of Apache Ozone. Expert Ozone developer Nandakumar Vadivelu will guide you through the basics of setting up and configuring Ozone, as well as highlighting its key features and benefits. Begining with an overview of Apache Ozone's fundamentals, diving into its architecture and core components. This session is perfect for those who are new to Ozone or want to explore its potential as a highly scalable and efficient storage solution.

This video walks you through one of the new features coming with Edge Flow Manager 1.6.0: the one-line installer command. Did you ever think that installing a MiNiFi (C++ or Java) agent was complicated? Did you ever struggle with generating and configuring the certificates for mTLS communication between the agents and Edge Flow Manager?