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Curriculum

6 Sections
22 Lessons
Lifetime

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Module 1: High-Level View
After completing this module, you will be able to understand the .Stat Suite high-level architecture and technical stack.
4
Module 2: Javascript Services
After completing this module, you will be able to understand each of the Javascript services and their purpose.
14
Module 3: .NET Services
After completing this module, you will be able to understand each of the .NET services and their purpose.
5
Module 4: Continuous Integration & Delivery
After completing this module, you will be able to understand the .Stat Suite delivery mechanisms (CI and CD).
4
Module 5: Dependencies & Versioning
After completing this module, you will be able to understand the different dependencies and versioning practice for .Stat Suite core services.
4
Final Assessment
This module has an assessment to test what you have learnt in this course. Attempt the assessment to get your certificate of completion.
1
- 7.1
  Final Assessment
  10 Questions

High-Level Technical Architecture

The .Stat Suite is a standard-based, componentised, open source platform for the efficient production and dissemination of high-quality statistical data. The product is based on the General Statistical Business Process Model (GSBPM) and the Statistical Data and Metadata eXchange (SDMX) standards and is driven by the Statistical Information System Collaboration Community (SIS-CC).

The .Stat Suite has three main modules:

.Stat Core
.Stat Data Lifecycle Manager
.Stat Data Explorer

Each main module (and their components) can be used together or separately. The diagram below shows a high-level technical architecture for the .Stat Suite:

.Stat Suite Technical Stack

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Creating and applying mappings for the .Stat Suite

Creating and applying mappings for the .Stat Suite

In this course you will learn about creating and applying mappings for the .Stat Suite.

Take your data management skills to the next level with the newly launched “Creating and Applying Mappings for the .Stat Suite” course.

Designed for data professionals across the SDMX community, this course provides the foundation you need to leverage mappings for seamless data integration and improved workflows.

In this course you will:

Understand the main scenarios for using mappings.
Describe how mappings are managed in SDMX.
Use Fusion Metadata Registry to manage SDMX mappings between two structures with different dimensionality and/or code list representation.
Apply mappings to data files using Fusion Metadata Registry and upload mapped data files to the .Stat Suite.