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CDW110 TEST Questions and Answers fully solved
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Exam of 15 pages for the course EPIC BRIDGES at EPIC BRIDGES (CDW110 TEST)
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CDW110 TESTCHAPTER 1-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-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-ETL - answer Extract, Transform, Load
CHAPTER 1-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 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 - 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 - 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 - 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 - answer The Caboodle database into which records are loaded by SSIS packages and stored procedures.
CHAPTER 1-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-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-FullAccess Schema - 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 - answer MADE for report writers. · Simpler and more intuitive. · Easily extensible. · More performant..
CHAPTER 1-Identify the benefits of the dimensional data model? - 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 - answer Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
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