CDW110 Exam Latest Updated Graded A+

(General Reporting Tips) If a query refers to more than one 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 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) · 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 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