Managing and forecasting cluster resource consumption costs is a complex task. Inefficient resource allocations and usage can lead to budget overruns and unexpected expenses. The challenge lies in gaining comprehensive insights into your resource consumption across different regions, departments, and user groups. It's also crucial for accurate financial planning. Cloudera Observability provides powerful financial governance capabilities to tackle these challenges effectively by providing unparalleled insight and control over your resource consumption and costs.

Firas Yasin, Global Alliance Manager of AI/ML at RedHat, introduces the RedHat and Cloudera partnership. Firas shares that customers are often missing the combination of security, scalability and support when deploying open-source solutions for their end-to-end data lifecycles. In this video, Firas highlights that together with RedHat OpenShift and Cloudera Data Platform, customers can achieve security and scalability through the joint solution, in addition to catalyzing on RedHat and Cloudera’s unrivaled support offerings.

Cloudera Observability provides the ability to define system rules and automate the appropriate action when those rules are broken through Auto Actions. This prevents for example that any one , query or job monopolizes the system, thereby impacting overall system performance.

Introduction to Apache Airflow: A brief overview for both beginners and enthusiasts. Best Practices and Use Cases: Learn from industry experts about optimizing your workflows and real-world use cases.

Unlock data potential with Cloudera's Open Data Lakehouse powered by Apache Iceberg. Break silos, centralize security, and accelerate AI, BI, and machine learning projects. Collaboration made efficient. Learn more at cloudera.com.

Ozone enables ingest, processing, exploration, efficient iterative training, and fine-tuning of LLMs that rely on huge structured and unstructured datasets. This demo illustrates that. We have deployed a CML AMP chatbot that uses an LLM, augmented with an existing knowledge base. The knowledge base is stored in Ozone and retrieved over S3.