CDW110v Caboodle Data Model Fundamentals
2023/68 Questions and Answers/ Verified/ 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 - -
-dbo - -Staging database: import tables and mapping tables live here. Used by
administrators for moving data into Caboodle. Reporting Database: dbo schema stores
2023/68 Questions and Answers/ Verified/ 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 - -
-dbo - -Staging database: import tables and mapping tables live here. Used by
administrators for moving data into Caboodle. Reporting Database: dbo schema stores
