Data Preview, Provisioning and Preparation Overview
An effective data catalog enables business intelligence users and data scientists to locate, preview, prepare, and provision data for ad-hoc analysis.
Data provisioning is the process of moving data from a source in the catalog to a target for further processing. You can preview data for table and file asset types, and create provisioning tasks in Enterprise Data Catalog. Preview a sample of the source data before you create a provisioning task.
Data preparation is the process of combining, cleansing, transforming, and structuring data from one or more data assets so that data is ready for analysis.
Note: You can prepare data for assets such as tables and views in relational resources.
Example 5. Business Example
Susan, a Financial Analyst in your organization, performs financial forecasting and reconciliation of internal accounts. She needs to analyze the financial information and create monthly, quarterly, and annual reports in Tableau to ensure that the financial information is recorded accurately. To create and analyze the reports, she wants to use tables that contain financial information from an Oracle source. She uses Enterprise Data Catalog to achieve this goal. In Enterprise Data Catalog, she previews to assess the sample data of tables that she wants to use in the report, and then creates a data provisioning task to move the tables into the Tableau system. After the task is complete, the tables are moved into the Tableau system in the format that she requires for further analysis.