Mandatory Prerequisites:
The learner must have attended the following Instructor-Led Workshop:
- o9 Retail Functional Training Workshop

Target Audience:
Analysts, Solution Architects, Configurators/Implementers, Planners

About the Course:
The R2024.06 release introduces a key enhancement to Retail Replenishment focused on leveraging Big Data solutions for improved efficiency. This course will guide you through the updates to the existing features and explain how they utilize the new Big Data framework.

This enhancement provides a robust framework for handling large volumes of data in retail solutions, leading to faster computations and improved performance.

Learning Objectives:
• Understand the need for a Big Data solution in Retail Replenishment to efficiently handle large data volumes.
• Learn how key features have been converted from IBPL/Python to PySpark, enabled by Delta Lake, for faster computations.
• Explore how all features are now written in Spark and are compatible with Delta Lake.

This release's enhancement addresses the challenge of managing large data volumes within Retail solutions. To tackle this, all key features from IBPL/Python have been converted to PySpark, utilizing Delta Lake. This transition enables faster computations and improved efficiency. All features are now written in Spark and are fully compatible with Delta Lake.