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CDW 110 LATEST 2023 WITH SATISFIED SOLUTIONS

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CDW 110 LATEST 2023 WITH SATISFIED SOLUTIONS CHAPTER 1-Caboodle Console - The Caboodle Console is a webapplicationhousedon the Caboodle server. It includes the following: Dictionary Dictionary EditorExecutions Work Queue Configuration -Data Warehouse - In a data warehouse, multiple source...

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  • August 31, 2023
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  • 2023/2024
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CDW 110 LATEST 2023 WITH SATISFIED SOLUTIONS


CHAPTER 1-Caboodle Console - The Caboodle Console is a web application housedon the Caboodle server. It includes the
following:
Dictionary Dictionary
EditorExecutions Work
Queue Configuration

-Data Warehouse - In a data warehouse, multiple sources may load datapertaining 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
valuesassociated with a single entity in a Caboodle table.

-ETL - Extract, Transform, Load

-SSIS Package - The architecture of Caboodle includes a staging databaseand 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.

-Data Lineage - Generally, data lineage refers to the process of identifying the source of a specific piece of information. In
Caboodle, data lineage is defined at thepackage level.

-Star Schema - 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 centralfact table will join to many
associated lookup or dimension tables. This structure provides the foundation of the Caboodle data model.

-DMC - 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 ETLprocess and reporting views stored in the FullAccess schema.
Each DMC gets a type. Strict table naming conventions are followed in Caboodle, sothat 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)

-Staging Database - The Caboodle database into which records are loadedby SSIS packages and stored procedures.

-Reporting Database - 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.

-Dbo Schema - 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 dboschema.

-FullAccess Schema - 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 yourdefault schema when reporting.

-Identify key characteristics of the dimensional data model - MADE forreport writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..

-Identify the benefits of the dimensional data model? - It centralizes its structure around more flexible fact and
dimension tables, and the joins between theseare more intuitive.

-Identify documentation resources for reporting out of Caboodle - CaboodleDictionary
Reporting with Caboodle documentCaboodle ER
diagram

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