Systems | Development | Analytics | API | Testing

This video shows how Cloudera Replication Manager easily and smoothly replicates HDFS data from on premises to cloud and from cloud back to on premises.

According to 451 Research, 96% of enterprises are actively pursuing a hybrid IT strategy and 96% of businesses can’t be wrong. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis.

This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.

Cloudera Machine Learning offers a comprehensive solution for the full machine learning lifecycle, from finding and exploring data to hosting custom ML web apps. With nearly 700 enterprise customers using ML in production, it provides a trusted and efficient way to deploy complex models and support a diverse range of AI use cases.

This demo shows how easy it is to get started with the Cloudera Data Warehouse. We’ll cover data ingestion, data security, running queries using our SQL editor, and optimizations for improving query performance using a simple business use case. Learn more at cloudera.com/demos

Cloudera Data Warehouse is a comprehensive data analytics and management solution that offers security and governance policies, automations, and high-speed SQL engines for analyzing data easily, self-service, and quickly. Its open data lakehouse architecture eliminates data silos, making all data accessible without moving it, and due to integration with Apache Iceberg, supports both structured and unstructured, real-time, and batch data.

In this demo, see how platform administrators and data engineers can use Cloudera Data Engineering as an all-inclusive toolset to streamline ETL processes across enterprise analytics teams.

Cloudera Data Engineering is a cloud-native service that provides an all-inclusive toolset for orchestrating and automating complex data pipelines, with built-in visual monitoring. It is fully integrated with the Cloudera Data Platform and enables data to be used by any data engineering team enabling analytics or ML across the business-delivering curated, quality datasets securely and transparently across all use cases.

Cloudera Stream Processing lets developers and analysts build real-time data products using industry-standard SQL. In this demo, you will see SQL Stream Builder quickly transform Kafka topics into tables to be queried and SQL queries transformed into continuous Flink jobs.

Cloudera Data in Motion is designed to enable businesses to respond to critical events in real-time and streamline their data capture, processing, and distribution, while maintaining security and governance. It offers an open architecture for maximum flexibility and control over resources, addressing data in motion challenges.