CDW110v Caboodle Data Model Fundamentals-Exam Questions and Answers Graded A+
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Course
CDW110v Caboodle Data Model Fundamentals
Institution
CDW110v Caboodle Data Model Fundamentals
CDW110v Caboodle Data Model Fundamentals-Exam
Questions and Answers Graded A+
Caboodle Dictionary - -Basic metadata for tables. Find Descriptions of tables and columns
available in data model. Identify tables that can be linked together.
Caboodle Dictionary Editor - -In depth view of Caboodle E...
CDW110v Caboodle Data Model Fundamentals-Exam
Questions and Answers Graded A+
Caboodle Dictionary - -Basic metadata for tables. Find Descriptions of tables and columns
available in data model. Identify tables that can be linked together.
Caboodle Dictionary Editor - -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.
Caboodle Executions - -Where Caboodle administrators can create, edit, run and monitor
executions. Can be used to schedule recurring executions.
Caboodle Workqueues - -Logs the different types of issues that can occur during the ETL process
that require manual intervention to resolve.
Caboodle configurations - -modify settings, perform customizations such as adding attributes to
the data model and view reports related to Caboodle configuration and operation.
Caboodle BI Developers - -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.
Caboodle Administrators - -have access to all activities on the Caboodle Console. Administrators
monitor executions, troubleshoot work queue errors and establish system level configurations.
, Caboodle ETL Developers - -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.
Why use Caboodle - -Accessibility, Efficiency and fewer tables and simpler joins.
SSIS package - -SQL Server Integration packages : Data is extracted from source systems (Clarity)
transformed in the staging database and presented for users in the reporting database.
DMCs - -Data Model Components
Data Model Compenents - -collection of metadata tables that support the ETL process and
reporting views stored in the FullAccess schema.
DMC type and suffixes - -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
Caboodle Star Schema - -where one central fact table will join to many associated lookup or
dimension tables.
Dimensional Data Model - -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.
Caboodle consists of a reporting database and a staging database - -
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