Getting Started with Data Cube
You can use Data Cube to collect, organize, and mine the data residing in various repositories across your enterprise.
Step 1: Configure an Analytics Engine
Data Cube uses an Analytics Engine to index the data in your repositories.
Data Cube can use an existing Analytics Engine if one is already configured in your CommCell environment. You do not need to configure a separate Analytics Engine for Data Cube.
If you need to configure an Analytics Engine in your CommCell environment, see Configuring the Analytics Engine for Data Cube.
Step 2: Assign User Permissions
Users must have access to the Web Console and must also be assigned the Data Connectors permission. See Configure End-User Permissions for Data Cube.
Step 3: Connect to a Data Source
Log in to the Web Console, connect to your data sources, and start collecting and organizing your data. See Data Cube Data Connectors.
Step 4: Crawl Your Data Sources
To collect the information from your connected data sources, you must crawl the data sources. Crawling indexes the data from the source to enable structured searches and data mining. See Crawling Data Sources in Data Cube.
Step 5: Put Your Data to Use
After crawling your various data sources, you can repurpose the information in your data sources for a variety of uses:
- Analyze and Restructure your Data:
Use the search views interface provided with Data Cube to restructure your data, analyze the information, and gain valuable insights about your data. For more information, see Search Views for Data Cube.
- Create Your Own Applications
Use the RESTful APIs for your data sources to supply the business intelligence residing in your information to your applications. For more information, see RESTful APIs for Data Sources in Data Cube.
- Integrate Data Connections with External Services
Connect your data sources to external software to integrate your data with your existing corporate platforms and services. For more information, see Integrate Data Cube Sources with External Services.