CDW110 Exam Study Guide with Complete Solutions

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CDW110 Exam Study Guide with Complete Solutions

(General Reporting Tips) If a query refers to more thanone table, all columns
should be prefixed by a descriptor (table name or alias) - Answer✔️✔️-Using
descriptors ensures you have unambiguous column references, preventing issues
that can occur when two tables contain columns with the same name.

Chapter 1. (Study Checklist) Caboodle Console - 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. (Study Checklist) Data Warehouse - 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. (Study Checklist) ETL - Answer✔️✔️-Extract, Transform, Load

Chapter 1. (Study Checklist) SSIS Package - 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



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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. (Study Checklist) Data Lineage - 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. (Study Checklist) Star Schema - 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. (Study Checklist) DMC - 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)



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· X for custom tables (e.g. CustomFactX)

Chapter 1. (Study Checklist) Staging Database - Answer✔️✔️-The Caboodle
database into which records are loaded by SSIS packages and stored procedures.

Chapter 1. (Study Checklist) Reporting Database - 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. (Study Checklist) Dbo Schema - 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. (Study Checklist) FullAccess Schema - Answer✔️✔️-STAGING
DATABASE

The FullAccess schema does not exist on the Staging database.



REPORTING DATABASE




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The FullAccess schema houses views that simplify reporting. FullAccess should be
your default schema when reporting.

(ETL Terms) Execution - Answer✔️✔️-An execution is the process that extracts
data from a source system using packages, transforms the data in the staging
database, and loads it to Caboodle for reporting. You create and run executions in
the Caboodle Console.

(ETL Terms) Extract - Answer✔️✔️-Extracts to Caboodle from Clarity can be either
backfill or incremental. Backfill extracts load or reload every row in a table from
Clarity, whereas incremental extracts load only changed rows. Existing data is
available while extracts are in progress.

(ETL Terms)package - Answer✔️✔️-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 inpatient data, Epic outpatient data, and several non-Epic data
sources. Packages are defined in SSIS .dtsx files.

Chapter 1. (Study Checklist) Identify key characteristics of the dimensional data
model. - Answer✔️✔️-MADE for report writers.

· Simpler and more intuitive.

· Easily extensible.

· More performant..

Chapter 1. (Study Checklist) Identify documentation resources for reporting out of
Caboodle - Answer✔️✔️-Caboodle Dictionary

Reporting with Caboodle document

Caboodle ER diagram




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