Caboodle: CDW110v Data Model
Fundamentals TEST BANK
(All Latest Versions Exams Bundled Together)
The CDW110v Caboodle Data Model Fundamentals learning path Overview
The CDW110v Caboodle Data Model Fundamentals learning path provides an
overview of the Caboodle data model, focusing on its architecture (staging
and reporting databases), the ETL processes that load data from source
systems like Epic's Clarity into the data warehouse, and the use of star
schemas for efficient analysis. It covers how to use the Caboodle Dictionary to
find table/column descriptions and data lineage and how to interpret different
values in Caboodle tables, including primary keys such as -2 and -3.
Key Concepts Covered
Caboodle Architecture:
Learn about the two main components—the staging database for importing and
mapping data, and the reporting database containing organized data for analysis.
ETL Processes:
Understand how data is Extracted, Transformed, and Loaded from source systems
into the data warehouse using SQL Server Integration Services (SSIS) packages.
Star Schemas:
Discover how data is structured into fact and dimension tables to simplify data retrieval
and improve query performance for analytical purposes.
Caboodle Dictionary:
Explore how to use this tool to view descriptions of tables and columns, understand
data lineage, and see which ETL packages are used to populate Caboodle tables.
Key Tables and Columns:
Identify the functions of various table types, such as staging and reporting tables, and
understand the meaning of different values within columns.
, Practical Applications
Investigating Data Issues:
Learn how to use the Caboodle Dictionary to determine if a data discrepancy
originates from the source or the ETL process by checking data lineage.
Interpreting Special Values:
Understand that special primary key values like -2 and -3 indicate deleted data or are
placeholders for specific row types within a table.
Customizing Caboodle:
Discover how to create custom SSIS packages to extend Caboodle's functionality and
extract data from sources beyond Clarity.
,CDW110v Caboodle Data Model
Fundamentals exam 2024 with 100% correct
answers
Caboodle Dictionary - CORRECT ANSWER-Basic metadata for tables. Find
Descriptions of tables and columns available in data model. Identify tables that
can be linked together.
Caboodle Dictionary Editor - CORRECT 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.
Caboodle Executions - CORRECT ANSWER-Where Caboodle administrators
can create, edit, run and monitor executions. Can be used to schedule recurring
executions.
Caboodle Workqueues - CORRECT ANSWER-Logs the different types of issues
that can occur during the ETL process that require manual intervention to
resolve.
Caboodle configurations - CORRECT ANSWER-modify settings, perform
customizations such as adding attributes to the data model and view reports
related to Caboodle configuration and operation.
Caboodle BI Developers - CORRECT 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.
Caboodle Administrators - CORRECT ANSWER-have access to all activities on
the Caboodle Console. Administrators monitor executions, troubleshoot work
queue errors and establish system level configurations.
, Caboodle ETL Developers - CORRECT 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.
Why use Caboodle - CORRECT ANSWER-Accessibility, Efficiency and fewer
tables and simpler joins.
SSIS package - CORRECT 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.
DMCs - CORRECT ANSWER-Data Model Components
Data Model Compenents - CORRECT ANSWER-collection of metadata tables
that support the ETL process and reporting views stored in the FullAccess
schema.
DMC type and suffixes - CORRECT 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
Caboodle Star Schema - CORRECT ANSWER-where one central fact table will
join to many associated lookup or dimension tables.
Dimensional Data Model - CORRECT 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.
Caboodle consists of a reporting database and a staging database - CORRECT
ANSWER-
dbo - CORRECT ANSWER-Staging database: import tables and mapping tables
live here. Used by administrators for moving data into Caboodle. Reporting
Fundamentals TEST BANK
(All Latest Versions Exams Bundled Together)
The CDW110v Caboodle Data Model Fundamentals learning path Overview
The CDW110v Caboodle Data Model Fundamentals learning path provides an
overview of the Caboodle data model, focusing on its architecture (staging
and reporting databases), the ETL processes that load data from source
systems like Epic's Clarity into the data warehouse, and the use of star
schemas for efficient analysis. It covers how to use the Caboodle Dictionary to
find table/column descriptions and data lineage and how to interpret different
values in Caboodle tables, including primary keys such as -2 and -3.
Key Concepts Covered
Caboodle Architecture:
Learn about the two main components—the staging database for importing and
mapping data, and the reporting database containing organized data for analysis.
ETL Processes:
Understand how data is Extracted, Transformed, and Loaded from source systems
into the data warehouse using SQL Server Integration Services (SSIS) packages.
Star Schemas:
Discover how data is structured into fact and dimension tables to simplify data retrieval
and improve query performance for analytical purposes.
Caboodle Dictionary:
Explore how to use this tool to view descriptions of tables and columns, understand
data lineage, and see which ETL packages are used to populate Caboodle tables.
Key Tables and Columns:
Identify the functions of various table types, such as staging and reporting tables, and
understand the meaning of different values within columns.
, Practical Applications
Investigating Data Issues:
Learn how to use the Caboodle Dictionary to determine if a data discrepancy
originates from the source or the ETL process by checking data lineage.
Interpreting Special Values:
Understand that special primary key values like -2 and -3 indicate deleted data or are
placeholders for specific row types within a table.
Customizing Caboodle:
Discover how to create custom SSIS packages to extend Caboodle's functionality and
extract data from sources beyond Clarity.
,CDW110v Caboodle Data Model
Fundamentals exam 2024 with 100% correct
answers
Caboodle Dictionary - CORRECT ANSWER-Basic metadata for tables. Find
Descriptions of tables and columns available in data model. Identify tables that
can be linked together.
Caboodle Dictionary Editor - CORRECT 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.
Caboodle Executions - CORRECT ANSWER-Where Caboodle administrators
can create, edit, run and monitor executions. Can be used to schedule recurring
executions.
Caboodle Workqueues - CORRECT ANSWER-Logs the different types of issues
that can occur during the ETL process that require manual intervention to
resolve.
Caboodle configurations - CORRECT ANSWER-modify settings, perform
customizations such as adding attributes to the data model and view reports
related to Caboodle configuration and operation.
Caboodle BI Developers - CORRECT 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.
Caboodle Administrators - CORRECT ANSWER-have access to all activities on
the Caboodle Console. Administrators monitor executions, troubleshoot work
queue errors and establish system level configurations.
, Caboodle ETL Developers - CORRECT 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.
Why use Caboodle - CORRECT ANSWER-Accessibility, Efficiency and fewer
tables and simpler joins.
SSIS package - CORRECT 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.
DMCs - CORRECT ANSWER-Data Model Components
Data Model Compenents - CORRECT ANSWER-collection of metadata tables
that support the ETL process and reporting views stored in the FullAccess
schema.
DMC type and suffixes - CORRECT 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
Caboodle Star Schema - CORRECT ANSWER-where one central fact table will
join to many associated lookup or dimension tables.
Dimensional Data Model - CORRECT 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.
Caboodle consists of a reporting database and a staging database - CORRECT
ANSWER-
dbo - CORRECT ANSWER-Staging database: import tables and mapping tables
live here. Used by administrators for moving data into Caboodle. Reporting
