Module 1: Introduction to Data Ingestion - Duration: 1/2 Hour

• • • Overview of Data Ingestion
    • Importance and Applications
    • Key Concepts and Terminology

Module 2: Sourcing Pipeline - Duration: 1/2 Hour

• • • Understanding Business Requirements 
    • Identifying Data Sources and Formats
    • Determining Data Volume and Velocity
    • Selecting data connectors and extraction mechanisms

Module 3: Ingestion Pipeline - Duration: 1/2 Hour

• • • Understanding data standardization and data transformation (sourcing) queries
    • Identifying data sanity steps and role of QC Bot
    • Understanding product and store hierarchies and attributes

Module 4: Derived tables Pipeline - Duration: 1/2 Hour

• • • Understanding flow of data into different applications
    • Understanding derived table transformations queries and its related SPs
    • Understanding Backsync jobs and its dependencies

Module 5: Modeling Pipeline - Duration: 1/2 Hour

1. 1. • Understanding flow of data into ADA/modeling pipelines
      • Introduction to clustering and Loss sale imputation
      • FMT - Modeling data preparation