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) - Answer️️ -Using
descriptors ensures you have unambiguous column references, preventing issues
that can occ...
(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) 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. (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)
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)
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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