3 Tasks

To use Essbase on Autonomous AI Lakehouse, these are the tasks you'll need to accomplish.

• Model Relational Data as a Cube
  With Essbase on Autonomous AI Lakehouse, you can organize relational data as a multidimensional cube that reflects how your business analyzes information.
• Shape Business Views with Dimensions and Hierarchies
  Dimensions and hierarchies in Essbase let you organize business data in ways that reflect how different users need to analyze it.
• Plan an Application and Cube
  Decide what kind of an Essbase application is best suited for your business data in the Lakehouse.
• Apply Business Logic with Calculations
  After planning your application and cube, consider how Essbase needs to derive, aggregate, and transform the business data in your model.
• Prepare Data for Analysis
  Prepare the business data that will populate the dimensions, members, and measures in your Essbase cube.
• Manage Access to Applications and Data
  Control who can use Essbase applications, what operations they can perform, and what business data they can access.
• Validate and Operate Cubes
  Validate your Essbase cube with representative business queries and calculations, and monitor the operations that keep the application working as expected.