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Unleash cloud-native analytics and AI on-premises with Cloudera

Unlock the power of your on-premises data with Cloudera for private cloud. Harness cloud-native agility, flexibility, and cost efficiency within your private open data lakehouse for unparalleled access and control over your data. Build a foundation of secure, accurate, and trusted data for precise business insights and of course, trusted AI. Unleash the full potential of your data with Cloudera's Private Cloud Data Services.

Mastering Apache YuniKorn | Kubernetes Resource Scheduling, Deployment, and Beyond

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.

The Hidden Power of Movie Data

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.

Technology Spotlight: Open Data Lakehouse for Private Cloud

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.

Fine-Tuning a Foundation Model for Multiple Tasks

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.

A Hybrid, Open Data Lakehouse That Can Handle it All

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.