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Relational Schemas, Data Cleansing & Low-Code Preparation
Module 1
Analytical Requirements & User Story Formulation
Operational Requirements Elicitation and Business Problem Framing
Agile Story Formulation and Verifiable Acceptance Criteria in Data Projects
Operational Friction at Great Northern Logistics: Translating Dispatch Latency into Technical User Stories
Drafting Analytical User Stories and Verifiable Acceptance Criteria
Translating Retail Fulfillment Friction into Agile Analytical Specifications
Formulating Verifiable Acceptance Criteria for Cross-Functional Process KPIs
Analytical Requirements & User Story Formulation
Module 2
Relational Schema Literacy & Business Glossary Auditing
Auditing Relational Schemas, Referential Integrity, and Technical Data Dictionaries
Enterprise Data Catalogs, Business Glossaries, and Metric Disambiguation
Cross-Departmental Schema Audit and Metric Governance in Regional Healthcare Networks
Systematic Inspection of Relational Database Schemas and System Data Dictionaries
Auditing Enterprise Data Catalogs and Reconciling Business Glossary Discrepancies
Reconciling Cross-Departmental Metric Calculation Discrepancies Using Enterprise Glossaries
Auditing Relational Database Schemas and Referential Integrity Constraints
Relational Schema Literacy & Business Glossary Auditing
Module 3
Transactional Data Cleansing & Low-Code ETL Transformation
Architecting Transactional Hygiene: Intercepting Nulls, Duplicates, and Type Anomalies
Modern Low-Code ETL: Declarative Transformation, Reshaping, and Blending
Consolidating Multi-Source Regional Logistics Payloads for SLA Auditing
Executing Transactional Data Hygiene in Operational Payloads
Building Automated Low-Code ETL Pipelines for Multi-Source Operational Data
Executing Transactional Data Cleansing, Deduplication, and Type Casting
Transactional Data Cleansing & Low-Code ETL Transformation
