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Discussion items
| Item | Who | Notes | Review Data Lake JIRA Tickets | |||
|---|---|---|---|---|---|---|
| Data Structure for SQL Reporting | Data analysts expect to be able to use tools such as Tableau and BIRT to access data in the Data Lake using SQL -What steps need to be taken to ensure SQL access | Data Integrity | Data analysts expect the data structure in the Data Lake to have referential integrity -What steps need to be taken to ensure referential | - Review, discuss, and detail JIRA tickets supporting Data Lake development and document additional considerations -Establish expectations for data lake reporting (i.e., what types of reports do we expect the data lake to support or not support?) -Document important features for data lake/warehouse design. Establish timeframe for standing up a Data Lake test environment -Outline and document dependencies for meeting this target -Approach for comprehensive report repository, report templates."WolfCon Updates and Impressions | WolfCon Attendees | "Criticality of Reporting for All SIGs/Domains" Presentation Data Lake session Data Confidence session Other sessions? |
| Data Elements | All | Reporting data elements gap analysis due by June 11 -data elements to be included in FOLIO V1 -steps to complete this work -connections with Inventory app, MM SIG, and Data Migration Subgroup | ||||