Exam (elaborations)
CDW110v Caboodle Data Model Fundamentals (Cogito Caboodle Data Model Fundamentals)
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CDW110v Caboodle Data Model Fundamentals (Cogito Caboodle Data Model Fundamentals)
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CDW110v Caboodle Data Model Fundamentals(Cogito Caboodle Data Model Fundamentals)
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 -
dbo - 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
EPIC - 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.
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