Introduction

Effective data management requires strong automation and data quality support. This involves codifying interconnections and transcoding data between models as it moves through the system. SDMX offers these essential capabilities.

This module aims to provide you with the knowledge and skills to transcode data from one data model to another using structure maps to support various use cases.

What you’ll learn

By the end of this module, you’ll be equipped with the skills and knowledge to use structure maps for transcoding data between different models, supporting a variety of use cases.

Learning Objectives

In this module, you will learn to:

• Examine the common use cases for transcoding codelists and reshaping data structures.
• Identify the SDMX standards capabilities to address these use cases.
• Describe how to solve these use cases using the Fusion Metadata Registry (FMR).
• Demonstrate how to create the necessary constructs using the FMR User Interface.
• Explain how to transcode data in an automated manner using the FMR registry API.

Units in this module

• Unit 1: Introduction to Transcoding Data
• Unit 2: Review of Transcoding Data
• Unit 3: FMR Data Processing Services: Data Mapping
• Unit 4: Use Case #1 – One-to-One Mapping
• Unit 5: Use Case #2 – One-to-Many Mapping
• Unit 6: Use Case #3 – Many-to-One Mapping
• Unit 7: Use Case #4 – Many-to-Many Mapping
• Unit 8: Testing
• Summary