Systems | Development | Analytics | API | Testing

Part of the Visibility and Transparency series this video walks you through building an end-to-end data ingestion NiFi Flow for the Impala Critical Query Failure Monitoring use case.

Our Chief Data & Analytics Officer, Shayde Christian, sits down for a buzzworthy conversation with Chief Digital Officer Raymond L. Kunik Jr. to discuss the “other” CDO role, the science behind work-life integration, the impact and applications of #AI, and its correlation with a pretty sweet hobby.

Brief demo on how to create and use webhook notification in SQL Stream Builder.

Applied Machine Learning Prototypes or AMPs, are pre-built applications that can be used as a starting point for your next machine learning project. These prototypes are designed to save time and resources by providing a tested and reliable solution to common machine learning problems. Cloudera + Dell + AMD.

Highlights for OCBC + Cloudera: LLM End User Meetup
Learn how Cloudera can help you trust your enterprise AI at https://www.cloudera.com/why-cloudera/enterprise-ai.html

Explore the captivating world of Data Stewardship with a focus on Cloudera's Data Catalog. In this friendly and professional session, our esteemed speaker, Hemanth, will share his expertise and knowledge to foster collaboration and discussion among participants, as we delve into the intricacies of Data Lakes and GDPR compliance within the Pharma industry. During this interactive session, Hemanth will expertly guide participants through key concepts related to Cloudera Data Catalog, including.

This video show how Cloudera Data Platform gives you the ability to recover your Hive Acid tables in the event of a cluster failure.

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.