Business Intelligence at Scale steps
Learn how to deploy the Broger Foods' inventory management use case in your environment.
You can follow the same steps as a guide to deploy your use case leveraging the Business
Intelligence at Scale pattern.
Downloading the use case artifacts To get you started with the Broger Foods' Business Intelligence at Scale use case, Cloudera has made the required use case artifacts available to you. You can use these artifacts as a starting point to build your own use case. Meeting the prerequisites The Business Intelligence at Scale pattern is designed to run on CDP and leverages various Cloudera Data Services. You must meet the individual prerequisites for Cloudera DataFlow (CDF), Cloudera Data Engineering (CDE), and Cloudera Data Warehouse (CDW) Data Services. All your users must have the necessary roles and permissions to perform their respective tasks. Ingesting data using Streams Messaging You must configure access to the streaming data from a third-party data provider, create Kafka topics, and add schemas to the Schema Registry in the Streams Messaging cluster. Building data pipelines using Cloudera DataFlow You must deploy a ReadyFlow in the Cloudera DataFlow cluster, develop your flow definition, collect flow information, and deploy Nifi flows. Transforming and organizing data using Cloudera Data Engineering You must define the Spark job configurations, resources, and schedule in the Cloudera Data Engineering (CDE) cluster. Analyzing data and visualizing results using Cloudera Data Warehouse To run queries and draw insights, you must add data to the Data Warehouse, create materialized view, create tables to generate reports and dashboards in Cloudera Data Visualization, and render and share dashboards from Cloudera Data Visualization with your stakeholders.