Business Intelligence at Scale
Introduction to Business Intelligence at Scale
Understanding the use case
Business Intelligence at Scale use case
Setting up your CDP pattern infrastructure
Giving access to users and groups
Giving access to Streams Messaging users
Giving access to DataFlow users
Giving access to Data Engineering users
Giving access to Data Warehouse users
Creating and assiging Ranger policies
Setting up the Streams Messaging cluster
Creating a Streams Messaging cluster
Setting up the Cloudera DataFlow service
Enabling DataFlow for an environment
Setting up the Cloudera Data Engineering service
Creating Data Hub cluster with Data Engineering cluster definition
Enabling Cloudera Data Engineering
Creating a virtual cluster
Setting up Cloudera Data Warehouse
Activating features under entitlement
Activating an AWS Environment for CDW
Adding an Impala Virtual Warehouse
Business Intelligence at Scale steps
Downloading the use case artifacts
Meeting the prerequisites
Ingesting data using Streams Messaging
Setting up the streaming data source
Adding schemas to the Schema Registry
Creating Kafka Topics
Building data pipelines using Cloudera DataFlow
Adding a ReadyFlow to the Catalog
Importing the custom NiFi flow definition
Collecting configuration information for ReadyFlow
Deploying the NiFi flows
Transforming and organizing data using Cloudera Data Engineering
Analyzing data and visualizing results using Cloudera Data Warehouse
About adding data to Data Warehouse
Creating tables and inserting data
Creating a materialized view
Creating a Data Visualization dashboard by importing visual artifacts