Apache Iceberg is an open-source high-performance format for huge analytic tables that brings the reliability and simplicity of SQL tables to big data. It enables engines like Spark, Trino, Flink, Presto, Hive, and Impala to work with the same tables, simultaneously and safely. Discover how Apache Iceberg can transform the way you store and manage your big data, and take your analytics to the next level.

In this demo, you'll learn how CDP Private Cloud, Cloudera's on-premises private open data lakehouse leverages Kubernetes technology to deliver cloud-native data storage, processing, and analytics capabilities in and air-gapped environment. We also delve into example modern data use cases that can run on CDP Private Cloud today, including large language models for training in-context enterprise AI, running an air-gapped data lakehouse with Apache Iceberg, and all your data can be underpinned by Apache Ozone for object storage akin to cloud storage.

Many financial services institutions have hesitated to move their operations to the cloud, and understandably so. It's an industry with big stakes, big data, and even bigger regulatory considerations. Cloudera has helped several financial service organizations across the globe with a hybrid approach to their data that gives them the flexibility of a cloud-based datalake house, with the security of in-house data storage.

In this demo, we’ll cover Cloudera Operational Database and look at it as a backend for an automotive parts inventory application used by dealers and garages to check availability and allow them to purchase or return parts.

This video demonstrates how we can use Replication Manager with CDP PvC DS to safely and smoothly replicate data in Ozone buckets (FSO/Legacy/OBS) between on-prem clusters. The video consists of two parts: FSO/Legacy demo and OBS demo.

Cloudera CTO, Ram Venkatesh, and SVP of Product Marketing, Luke Roquet, discuss the future of AI-powered data management and AI-empowered enterprises. Ram Venkatesh also hints at what’s to come for enterprise customers looking to leverage the latest advancements in LLMs and generative AI. Check out their full conversation.

In this video, we'll walk through an example of how to use Cloudera Machine Learning to explore, query, and build visualizations for data stored in your data warehouse. After you understand your data, we'll show you how you can connect to that data from CML using Python.

Welcome to the Smart Factory with intelligent operation—using analytics, machine learning, A.I. and other advanced tools in real time to anticipate failures, fix inefficiencies, and optimize maintenance. As the industry's leading hybrid data platform. Cloudera empowers modern data architectures and supports on premises, public and multi-cloud deployments, delivering multi-function analytics on data anywhere with common security, governance and metadata management powered by Cloudera SDX.

In the media and entertainment industry, keeping viewers engaged requires a data strategy that addresses challenges such as increasing customer demands for personalized experiences, unstructured data like videos and images, and changing advertising budgets. Cloudera offers the industry's only hybrid data platform that supports on-premises, public, and multi-cloud deployments concurrently, bringing together real-time analytics, machine learning, and AI capabilities.

This demo video shows how Cloudera Replication Manager provides successful Disaster Recovery solution by cross-region Azure HBase replication.