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ETL Conventions for use with Pedant CDM v2.2 MOP V5 The Pedant Common Data Model is an evolving specification, based in structure on the MOP Common Data Model, but expanded to accommodate requirements
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How to fill out etl conventions for use

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How to fill out ETL conventions for use:

01
Familiarize yourself with the ETL process: Before filling out ETL conventions, it is essential to understand the Extract, Transform, Load (ETL) process. Educate yourself on the different stages of ETL and the best practices associated with each stage.
02
Determine the scope of your ETL conventions: Consider the specific needs and requirements of your organization or project. Decide what aspects of ETL you want to cover in your conventions, such as data extraction, data transformation, data loading, error handling, and data quality assurance.
03
Define naming conventions: Establish consistent naming conventions for different components involved in the ETL process, such as source files, destinations, tables, columns, and variables. Clear and consistent naming conventions help in maintaining an organized ETL environment.
04
Design data mapping templates: Create templates for mapping source data to destination tables or databases. These templates should document the mapping rules, transformations, and any specific business logic that needs to be applied during the data transformation phase of ETL.
05
Document ETL workflows: Document the sequence of steps involved in the ETL process, including the order of data extraction, transformation, and loading. This documentation ensures that the ETL process is well-documented and can be easily replicated or modified in the future.
06
Establish error handling protocols: Define how errors will be handled during the ETL process. Document procedures for logging errors, notifying relevant stakeholders, and implementing error recovery mechanisms. Effective error handling is crucial to maintain data integrity and ensure the reliability of the ETL process.
07
Implement data quality checks: Define data quality standards and establish checks to ensure the accuracy, completeness, and consistency of the transformed data. Document the rules and procedures for data validation, data cleansing, and data profiling activities.

Who needs ETL conventions for use?

01
Data analysts: ETL conventions are essential for data analysts who are responsible for extracting, transforming, and analyzing data. Following standardized ETL conventions ensures consistency and accuracy in data processing and analysis.
02
Data engineers: ETL conventions are crucial for data engineers who design and build the ETL pipelines. Following conventions simplifies the development, maintenance, and troubleshooting of ETL workflows.
03
Data scientists: ETL conventions are beneficial for data scientists who rely on clean and organized data for their analytical models and predictions. Consistent ETL conventions help ensure the quality and reliability of the data used in their analyses.
04
Database administrators: ETL conventions are important for database administrators who manage and maintain the databases where the ETL processes run. Following conventions helps ensure the proper functioning and performance of the database systems.
In summary, filling out ETL conventions involves understanding the ETL process, defining naming conventions, designing mapping templates, documenting workflows, establishing error handling protocols, and implementing data quality checks. ETL conventions are relevant to data analysts, data engineers, data scientists, and database administrators who are involved in the ETL process.
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ETL conventions for use are a set of rules and guidelines that determine how data should be extracted, transformed, and loaded in a data warehouse or database.
Data engineers, data analysts, and any other professionals involved in the data integration process are typically required to follow and file ETL conventions for use.
ETL conventions for use can be filled out by documenting the specific rules, standards, and procedures to be followed during the data processing and integration phases.
The purpose of ETL conventions for use is to ensure consistency, accuracy, and efficiency in the ETL process, leading to reliable data for analysis and decision-making.
Information such as data source details, data transformation rules, error handling mechanisms, and data loading procedures should be reported on ETL conventions for use.
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