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LIH EAP Data Warehouse Inventory of Data Elements from the LIH EAP Performance Measures Data Form Grantee Survey (Sections I to IV) Data Warehouse Data Field NameDescriptionTotal Program FundingTotal
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01
Identify the sources of data that need to be included in the warehouse, such as databases, files, and applications.
02
Design the data model for the warehouse, including tables, columns, and relationships between them.
03
Extract data from the sources using ETL (Extract, Transform, Load) processes.
04
Transform the data into a format that is suitable for the warehouse, such as cleaning the data, standardizing formats, and resolving inconsistencies.
05
Load the transformed data into the warehouse, maintaining data integrity and consistency.
06
Create indexes and optimize queries for efficient data retrieval and analysis.
07
Regularly update and maintain the warehouse to keep it current and accurate.

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Businesses that want to analyze and report on their operational data to make informed decisions.
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A data warehouse - inventory is a centralized repository of integrated data from one or more disparate sources.
Typically, businesses or organizations that need to manage large amounts of data and analyze it for business intelligence purposes are required to file data warehouse - inventory.
To fill out a data warehouse - inventory, you need to collect and organize all relevant data, input it into a data warehouse system, and ensure it is structured in a way that facilitates analysis and reporting.
The purpose of a data warehouse - inventory is to provide a platform for storing, managing, and analyzing data to support decision-making processes within an organization.
Information such as sales data, customer information, inventory levels, and financial records must be reported on a data warehouse - inventory.
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