One Big Cluster Stuck: Data Asset Standardization
Data asset standardization is the purposeful and carefully planned consolidation of redundant, contradictory reports, processes, and databases into enterprise standards.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Cloudera
LLM ChatBot Augmented with Enterprise Data
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.
Run predictions with your data using Cloudera Machine Learning
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.
Accelerate analytics with Cloudera Data Warehouse
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
Visibility and Transparency
Out of the box Cloudera Data platform (CDP) performs superbly but over time, if data architecture, data engineering, and DevOps best practices are not maintained, you can get stuck maintaining the wild, wild west. In this six-part series, we’re focused on improving the health of your environment.
Analyze your data with Cloudera Data Warehouse
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.
Getting Started With Cloudera Data Engineering
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.
Projects in SQL Stream Builder
Businesses everywhere have engaged in modernization projects with the goal of making their data and application infrastructure more nimble and dynamic. By breaking down monolithic apps into microservices architectures, for example, or making modularized data products, organizations do their best to enable more rapid iterative cycles of design, build, test, and deployment of innovative solutions.
Prepare your data with Cloudera Data Engineering
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.
Brief overview of Cloudera Stream Processing
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.