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CDW110 EXAM (2025 updated) QUESTIONS AND
ANSWERS (DETAILED & ELABORATED) fully
solved
Save
Terms in this set (132)
(General Reporting Tips) If Using descriptors ensures you have unambiguous
a query refers to more column references, preventing issues that can occur
than one table, all when two tables contain columns with the same name.
columns should be
prefixed by a descriptor
(table name or alias)
The Caboodle Console is a web application housed
on the Caboodle server. It includes the following:
Chapter 1. (Study Dictionary
Checklist) Caboodle Dictionary Editor
Console Executions
Work Queue
Configuration
In a data warehouse, multiple sources may load data
pertaining to a single entity. This means that more than
Chapter 1. (Study
one package may populate a given row in a
Checklist) Data
Caboodle table. As a result, there may be multiple
Warehouse
business key values associated with a single entity in a
Caboodle table.
Chapter 1. (Study Extract, Transform, Load
Checklist) ETL
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The architecture of Caboodle includes a staging
database and a reporting database. Data is extracted
from source systems (like Clarity), transformed in the
Chapter 1. (Study
staging database, and presented for users in the
Checklist) SSIS Package
reporting database. This movement of data is realized
via a set of SQL Server Integration Services (SSIS)
packages.
Generally, data lineage refers to the process of
Chapter 1. (Study identifying the source of a specific piece of
Checklist) Data Lineage information. In Caboodle, data lineage is defined at
the package level.
The standard schema for a dimensional data model.
The name refers to the image of a fact table
surrounded by many linked dimension tables, which
loosely resembles a star.
Chapter 1. (Study
The Caboodle data model structure is based on a
Checklist) Star Schema
"star schema" ‐ where one central fact table will join to
many associated lookup or dimension tables. This
structure provides the foundation of the Caboodle
data model.
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DATA MODEL COMPONENT
No table in Caboodle "stands alone." Each is
considered part of a Data Model Component, which
refers to the collection of metadata tables that
support the ETL process and reporting views stored in
the FullAccess schema.
Each DMC gets a type. Strict table naming
conventions are followed in Caboodle, so that a
table's suffix provides information about its structure
Chapter 1. (Study
and purpose.
Checklist) DMC
These suffixes are:
· Dim for dimensions (e.g. PatientDim)
· Fact for facts (e.g. EncounterFact)
· Bridge for bridges (e.g. DiagnosisBridge)
· DataMart for data marts (e.g.
HospitalReadmissionDataMart)
· AttributeValueDim for EAV tables (e.g.
PatientAttributeValueDim)
· X for custom tables (e.g. CustomFactX)
Chapter 1. (Study The Caboodle database into which records are
Checklist) Staging loaded by SSIS packages and stored procedures.
Database
The architecture of Caboodle includes a staging
database and a reporting database. Data is extracted
Chapter 1. (Study from source systems (like Clarity), transformed in the
Checklist) Reporting staging database, and presented for users in the
Database reporting database. This movement of data is realized
via a set of SQL Server Integration Services (SSIS)
packages.
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STAGING DATABASE
Import tables and Mapping tables live here. This is
primarily used by administrators for moving data into
Caboodle.
Chapter 1. (Study
Checklist) Dbo Schema
REPORTING DATABASE
The dbo schema stores reporting data and acts as the
data source for SlicerDicer. The Caboodle Dictionary
reflects the contents of the dbo schema.
STAGING DATABASE
The FullAccess schema does not exist on the Staging
database.
Chapter 1. (Study
Checklist) FullAccess
REPORTING DATABASE
Schema
The FullAccess schema houses views that simplify
reporting. FullAccess should be your default schema
when reporting.
An execution is the process that extracts data from a
source system using packages, transforms the data in
(ETL Terms) Execution the staging database, and loads it to Caboodle for
reporting. You create and run executions in the
Caboodle Console.
Extracts to Caboodle from Clarity can be either
backfill or incremental. Backfill extracts load or reload
(ETL Terms) Extract every row in a table from Clarity, whereas incremental
extracts load only changed rows. Existing data is
available while extracts are in progress.
A package is a definition of an extract of data from
one specific source to a specific import table. For
example, a fact might have packages for Epic
(ETL Terms)package
inpatient data, Epic outpatient data, and several non-
Epic data sources. Packages are defined in SSIS .dtsx
files.
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CDW110 EXAM (2025 updated) QUESTIONS AND
ANSWERS (DETAILED & ELABORATED) fully
solved
Save
Terms in this set (132)
(General Reporting Tips) If Using descriptors ensures you have unambiguous
a query refers to more column references, preventing issues that can occur
than one table, all when two tables contain columns with the same name.
columns should be
prefixed by a descriptor
(table name or alias)
The Caboodle Console is a web application housed
on the Caboodle server. It includes the following:
Chapter 1. (Study Dictionary
Checklist) Caboodle Dictionary Editor
Console Executions
Work Queue
Configuration
In a data warehouse, multiple sources may load data
pertaining to a single entity. This means that more than
Chapter 1. (Study
one package may populate a given row in a
Checklist) Data
Caboodle table. As a result, there may be multiple
Warehouse
business key values associated with a single entity in a
Caboodle table.
Chapter 1. (Study Extract, Transform, Load
Checklist) ETL
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The architecture of Caboodle includes a staging
database and a reporting database. Data is extracted
from source systems (like Clarity), transformed in the
Chapter 1. (Study
staging database, and presented for users in the
Checklist) SSIS Package
reporting database. This movement of data is realized
via a set of SQL Server Integration Services (SSIS)
packages.
Generally, data lineage refers to the process of
Chapter 1. (Study identifying the source of a specific piece of
Checklist) Data Lineage information. In Caboodle, data lineage is defined at
the package level.
The standard schema for a dimensional data model.
The name refers to the image of a fact table
surrounded by many linked dimension tables, which
loosely resembles a star.
Chapter 1. (Study
The Caboodle data model structure is based on a
Checklist) Star Schema
"star schema" ‐ where one central fact table will join to
many associated lookup or dimension tables. This
structure provides the foundation of the Caboodle
data model.
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DATA MODEL COMPONENT
No table in Caboodle "stands alone." Each is
considered part of a Data Model Component, which
refers to the collection of metadata tables that
support the ETL process and reporting views stored in
the FullAccess schema.
Each DMC gets a type. Strict table naming
conventions are followed in Caboodle, so that a
table's suffix provides information about its structure
Chapter 1. (Study
and purpose.
Checklist) DMC
These suffixes are:
· Dim for dimensions (e.g. PatientDim)
· Fact for facts (e.g. EncounterFact)
· Bridge for bridges (e.g. DiagnosisBridge)
· DataMart for data marts (e.g.
HospitalReadmissionDataMart)
· AttributeValueDim for EAV tables (e.g.
PatientAttributeValueDim)
· X for custom tables (e.g. CustomFactX)
Chapter 1. (Study The Caboodle database into which records are
Checklist) Staging loaded by SSIS packages and stored procedures.
Database
The architecture of Caboodle includes a staging
database and a reporting database. Data is extracted
Chapter 1. (Study from source systems (like Clarity), transformed in the
Checklist) Reporting staging database, and presented for users in the
Database reporting database. This movement of data is realized
via a set of SQL Server Integration Services (SSIS)
packages.
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, 6/26/25, 2:21 PM CDW110 EXAM (2025 updated) QUESTIONS AND ANSWERS (DETAILED & ELABORATED) fully solved Flashcards | Quizlet
STAGING DATABASE
Import tables and Mapping tables live here. This is
primarily used by administrators for moving data into
Caboodle.
Chapter 1. (Study
Checklist) Dbo Schema
REPORTING DATABASE
The dbo schema stores reporting data and acts as the
data source for SlicerDicer. The Caboodle Dictionary
reflects the contents of the dbo schema.
STAGING DATABASE
The FullAccess schema does not exist on the Staging
database.
Chapter 1. (Study
Checklist) FullAccess
REPORTING DATABASE
Schema
The FullAccess schema houses views that simplify
reporting. FullAccess should be your default schema
when reporting.
An execution is the process that extracts data from a
source system using packages, transforms the data in
(ETL Terms) Execution the staging database, and loads it to Caboodle for
reporting. You create and run executions in the
Caboodle Console.
Extracts to Caboodle from Clarity can be either
backfill or incremental. Backfill extracts load or reload
(ETL Terms) Extract every row in a table from Clarity, whereas incremental
extracts load only changed rows. Existing data is
available while extracts are in progress.
A package is a definition of an extract of data from
one specific source to a specific import table. For
example, a fact might have packages for Epic
(ETL Terms)package
inpatient data, Epic outpatient data, and several non-
Epic data sources. Packages are defined in SSIS .dtsx
files.
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