CDW110
CHAPTER 1-Caboodle Console - CORRECT ANSWER-The Caboodle Console
is a web application housed on the Caboodle server. It includes the following:
Dictionary
Dictionary Editor
Executions
Work Queue
Configuration
CHAPTER 1-Data Warehouse - CORRECT ANSWER-In a data warehouse,
multiple sources may load data pertaining to a single entity. This means that
more than one package may populate a given row in a Caboodle table. As a
result, there may be multiple business key values associated with a single entity
in a Caboodle table.
CHAPTER 1-ETL - CORRECT ANSWER-Extract, Transform, Load
CHAPTER 1-SSIS Package - CORRECT ANSWER-The architecture of
Caboodle includes a staging database and a reporting database. Data is
extracted from source systems (like Clarity), transformed in the staging database,
and presented for users in the reporting database. This movement of data is
realized via a set of SQL Server Integration Services (SSIS) packages.
CHAPTER 1-Data Lineage - CORRECT ANSWER-Generally, data lineage refers
to the process of identifying the source of a specific piece of information. In
Caboodle, data lineage is defined at the package level.
CHAPTER 1-Star Schema - CORRECT ANSWER-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.
The Caboodle data model structure is based on a "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.
CHAPTER 1-DMC - CORRECT ANSWER-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 and
purpose.
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-Staging Database - CORRECT ANSWER-The Caboodle database
into which records are loaded by SSIS packages and stored procedures.
CHAPTER 1-Reporting Database - CORRECT ANSWER-The architecture of
Caboodle includes a staging database and a reporting database. Data is
extracted from source systems (like Clarity), transformed in the staging database,
and presented for users in the reporting database. This movement of data is
realized via a set of SQL Server Integration Services (SSIS)
packages.
CHAPTER 1-Dbo Schema - CORRECT ANSWER-STAGING DATABASE
Import tables and Mapping tables live here. This is
primarily used by administrators for moving data into Caboodle.
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.
CHAPTER 1-FullAccess Schema - CORRECT ANSWER-STAGING DATABASE
The FullAccess schema does not exist on the Staging database.
REPORTING DATABASE
, The FullAccess schema houses views that simplify reporting. FullAccess should
be your default schema when reporting.
CHAPTER 1-Identify key characteristics of the dimensional data model -
CORRECT ANSWER-MADE for report writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..
CHAPTER 1-Identify the benefits of the dimensional data model? - CORRECT
ANSWER-It centralizes its structure around more flexible fact and dimension
tables, and the joins between these are more intuitive.
CHAPTER 1-Identify documentation resources for reporting out of Caboodle -
CORRECT ANSWER-Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
CHAPTER 1-Identify reporting needs that best fit Caboodle - CORRECT
ANSWER-Custom data packages can be written by Caboodle developers to
accommodate your organization's reporting needs.
CHAPTER 1-How does Epic data flow into Caboodle - CORRECT
ANSWER-Epic data moves between several databases before it gets to
Caboodle.
CHRONICLES flows into CLARITY via ETL. After transformation, the data is
stored in a relational database on a separate server. Even though the structure of
the Chronicles and Clarity databases differ significantly, the ETL process
preserves the relationships mapped in Chronicles.
CLARITY flows into Caboodle data is extracted
from Clarity, transformed in the staging database, and presented for users in the
reporting database. This movement of data is realized via a set of SQL Server
Integration Services (SSIS) packages.
CHAPTER 1-Caboodle Console - CORRECT ANSWER-The Caboodle Console
is a web application housed on the Caboodle server. It includes the following:
Dictionary
Dictionary Editor
Executions
Work Queue
Configuration
CHAPTER 1-Data Warehouse - CORRECT ANSWER-In a data warehouse,
multiple sources may load data pertaining to a single entity. This means that
more than one package may populate a given row in a Caboodle table. As a
result, there may be multiple business key values associated with a single entity
in a Caboodle table.
CHAPTER 1-ETL - CORRECT ANSWER-Extract, Transform, Load
CHAPTER 1-SSIS Package - CORRECT ANSWER-The architecture of
Caboodle includes a staging database and a reporting database. Data is
extracted from source systems (like Clarity), transformed in the staging database,
and presented for users in the reporting database. This movement of data is
realized via a set of SQL Server Integration Services (SSIS) packages.
CHAPTER 1-Data Lineage - CORRECT ANSWER-Generally, data lineage refers
to the process of identifying the source of a specific piece of information. In
Caboodle, data lineage is defined at the package level.
CHAPTER 1-Star Schema - CORRECT ANSWER-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.
The Caboodle data model structure is based on a "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.
CHAPTER 1-DMC - CORRECT ANSWER-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 and
purpose.
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-Staging Database - CORRECT ANSWER-The Caboodle database
into which records are loaded by SSIS packages and stored procedures.
CHAPTER 1-Reporting Database - CORRECT ANSWER-The architecture of
Caboodle includes a staging database and a reporting database. Data is
extracted from source systems (like Clarity), transformed in the staging database,
and presented for users in the reporting database. This movement of data is
realized via a set of SQL Server Integration Services (SSIS)
packages.
CHAPTER 1-Dbo Schema - CORRECT ANSWER-STAGING DATABASE
Import tables and Mapping tables live here. This is
primarily used by administrators for moving data into Caboodle.
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.
CHAPTER 1-FullAccess Schema - CORRECT ANSWER-STAGING DATABASE
The FullAccess schema does not exist on the Staging database.
REPORTING DATABASE
, The FullAccess schema houses views that simplify reporting. FullAccess should
be your default schema when reporting.
CHAPTER 1-Identify key characteristics of the dimensional data model -
CORRECT ANSWER-MADE for report writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..
CHAPTER 1-Identify the benefits of the dimensional data model? - CORRECT
ANSWER-It centralizes its structure around more flexible fact and dimension
tables, and the joins between these are more intuitive.
CHAPTER 1-Identify documentation resources for reporting out of Caboodle -
CORRECT ANSWER-Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
CHAPTER 1-Identify reporting needs that best fit Caboodle - CORRECT
ANSWER-Custom data packages can be written by Caboodle developers to
accommodate your organization's reporting needs.
CHAPTER 1-How does Epic data flow into Caboodle - CORRECT
ANSWER-Epic data moves between several databases before it gets to
Caboodle.
CHRONICLES flows into CLARITY via ETL. After transformation, the data is
stored in a relational database on a separate server. Even though the structure of
the Chronicles and Clarity databases differ significantly, the ETL process
preserves the relationships mapped in Chronicles.
CLARITY flows into Caboodle data is extracted
from Clarity, transformed in the staging database, and presented for users in the
reporting database. This movement of data is realized via a set of SQL Server
Integration Services (SSIS) packages.
