CDW110v Caboodle Data Model Fundamentals 2023-2024
CDW110v Caboodle Data Model Fundamentals 2023-2024
CDW110v Caboodle Data Model Fundamentals 2023-2024
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CDW110v Caboodle Data Model Fundamentals 2023-
2024 /Questions And Answers Graded (A+)
Quiz :Caboodle Dictionary - Answer :Basic metadata for tables. Find
Descriptions of tables and columns available in data model. Identify tables that
can be linked together.
Quiz :Caboodle Dictionary Editor - Answer :In depth view of Caboodle ETL
packages and data lineage. Shows Clarity tables data that extracted from when
populating tables, which ETL packages are used by Caboodle tables and
dependencies amongst the tables in Caboodle.
Quiz :Caboodle Executions - Answer :Where Caboodle administrators can
create, edit, run and monitor executions. Can be used to schedule recurring
executions.
Quiz :Caboodle Workqueues - Answer :Logs the different types of issues that
can occur during the ETL process that require manual intervention to resolve.
Quiz :Caboodle configurations - Answer :modify settings, perform
customizations such as adding attributes to the data model and view reports
related to Caboodle configuration and operation.
Quiz :Caboodle BI Developers - Answer :write Caboodle reports and should
have access to the Caboodle Dictionary on the Console. Dictionary provides
table descriptions, data lineage for tables and columns and foreign key
information. BI Developers should be familiar with Caboodles dimensional data
model and at least one area of healthcare reportings such as revenue or
clinical reporting.
Quiz :Caboodle Administrators - Answer :have access to all activities on the
Caboodle Console. Administrators monitor executions, troubleshoot work
queue errors and establish system level configurations.
Quiz :Caboodle ETL Developers - Answer :create custom EPIC and n on Epic
content for extraction into the data warehouse, document their work in the
dictionary editor and test their work using the ETL tools available in the
console. Custom development notes and documentation relevant to report
writers will be visible in the dictionary.
, Quiz :Why use Caboodle - Answer :Accessibility, Efficiency and fewer tables
and simpler joins.
Quiz :SSIS package - Answer :SQL Server Integration packages : Data is
extracted from source systems (Clarity) transformed in the staging database
and presented for users in the reporting database.
Quiz :DMCs - Answer :Data Model Components
Quiz :Data Model Compenents - Answer :collection of metadata tables that
support the ETL process and reporting views stored in the FullAccess schema.
Quiz :DMC type and suffixes - Answer :Each DMC gets a type and suffix. Dim
for dimensions, Fact for facts, Bridge for bridges, Datamart for data marts,
AttributeValueDim for EAV tables, X for custom tables
Quiz :Caboodle Star Schema - Answer :where one central fact table will join to
many associated lookup or dimension tables.
Quiz :Dimensional Data Model - Answer :This structure intentionally makes
some compromises to the normalized data model used by Clarity in order to
facilitate report writing. The trade off is that it requires more complicated ETL
process to maintain.
Quiz :Caboodle consists of a reporting database and a staging database -
Answer :
Quiz :dbo - Answer :Staging database: import tables and mapping tables live
here. Used by administrators for moving data into Caboodle. Reporting
Database: dbo schema stores reporting data and acts as the data source for
SlicerDicer. Caboodle Dictionary reflects the contents of the dbo schema
Quiz :EPIC - Answer :Staging Database: Epic schema on the staging database
contains the _IdLookup tables, which map source IDs to system-generated
Caboodle primary keys in the reporting database. Reporting Database: Prior to
Epic 2018 this schema stored the tables used by the SlicerDicer patients data
model.
Quiz :FullAccess - Answer :Staging Database: The FullAccess schema does not
exist on the staging database Reporting Database: The FullAccess schema
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