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(Fusion Registry Core)
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SDMX statistical data engine and structural metadata registry.<br>
 
SDMX statistical data engine and structural metadata registry.<br>
 
The main statistical engine for data collection, integration, processing, storage, query execution and time-series calculations. It provides an SDMX-compliant data and metadata REST API.<br>
 
The main statistical engine for data collection, integration, processing, storage, query execution and time-series calculations. It provides an SDMX-compliant data and metadata REST API.<br>
The integrated SDMX structural metadata registry acts as the central repository, authoring and maintenance tool for all of the structures including Codelists, Concepts and Data Structure Definitions.
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The integrated SDMX structural metadata registry acts as the central repository, authoring and maintenance tool for all of the structures including Codelists, Concepts and Data Structure Definitions.<br>
 
[[Fusion Registry Core|More]]
 
[[Fusion Registry Core|More]]
  

Revision as of 05:25, 14 September 2020


The Fusion Registry Knowledge Base

Statistical data management software for official statistics using SDMX

Fusion Registry 10

Fusion Registry 10 is for central banks, international organisations, national statistics offices, development banks and regional statistics authorities who need to collect, integrate, store, process and publish aggregated official statistics using the SDMX Standard.

Fusion Registry is a metadata-driven system providing closely governed, reliable and automated management of the statistical data supply chain, production process and dissemination service.

Version 10.0 was released in January 2020 and comes in four editions:

  • Community - free to use structural metadata registry without any capability to load, store, process or disseminate data.
  • Data Essentials - a free to use version with data handling capabilities suitable for personal use or simple use cases.
  • Enterprise - a paid-for fully-featured SDMX data and metadata solution suitable for production deployment and sophisticated use cases.
  • Cloud - the Enterprise Edition delivered as a fully-managed cloud service.


FR10.png

Fusion Registry Components and Modules

Fusion Registry 10 consists of a suite of components and modules centred on the Fusion Registry core.

Fusion Registry Core

SDMX statistical data engine and structural metadata registry.
The main statistical engine for data collection, integration, processing, storage, query execution and time-series calculations. It provides an SDMX-compliant data and metadata REST API.
The integrated SDMX structural metadata registry acts as the central repository, authoring and maintenance tool for all of the structures including Codelists, Concepts and Data Structure Definitions.
More

Fusion Edge Server

High-performance data dissemination server.
A light-weight SDMX data and metadata REST API server designed to be deployed in clusters in the DMZ or at the network edge for scalable, fault-tolerant public data dissemination use cases.

Fusion Data Browser

Web tool for data search, visualisation and analysis.
Fusion Data Browser is a web application suitable for both internal and external users to search and explore the catalogue of datasets, select series and cubes of interest, build visualisations using tables and charts, and retrieve selected data in a variety of formats including SDMX, Excel and CSV.
It can connect to either a Fusion Registry Core engine, or a Fusion Edge Server cluster.

Fusion Data Mapper

Web tool for creating and maintaining Fusion Registry FAME to SDMX series mappings.
Web tool for Fusion Registry Core for mapping series with a single dimension to richer multi-dimensional structures using SDMX structure mapping rules.
The main use case is mapping FAME series which typically have a single 'series code' dimension to SDMX multi-dimensional structures including dimensions and attributes like: FREQ, INDICATOR, REF_AREA and UNIT_MULT. However, it will work with source data with a single dimension like 'Indicator'.

Fusion ETL Server

Module for Extracting, Transforming and Loading data into Fusion Registry.
Fusion ETL extracts observation data from one or more local SQL databases and loads them into a Fusion Registry Core data engine, transforming the data into the structure specified for the target SDMX Dataflows. Any number of jobs can be created that can be executed interactively through the web user interface, executed automatically on a defined schedule, or triggered programmatically using the Fusion ETL REST API.

Fusion Registry Command Line

Windows and Linux command line interface.
A command line interface to Fusion Registry's REST API providing utility scripts for loading structures, data and metadata, validating data, exporting content and deleting content.

Fusion Registry Topics

Structural Metadata Detailed explanations of the main SDMX structural metadata artefacts
How To Guidance on specific tasks using Fusion Registry
Behaviours Answers to 'What happens when...?' questions
Components and Modules Components and modules reference
Functions Reference Features and functions reference
Data Formats A description of supported Data Formats
Security Authentication and Authorisation Features
Web Services Registry Web Services
Command Line Structure, data, and metadata publishing from the command line
Glossary of Terms Glossary of SDMX and Fusion Registry terminology

Fusion Data Mapper

Fusion Data Mapper provides a web user Interface to administer Structure Maps in the Fusion Registry, where the maps support a specific use case – mapping from Single Dimension Data Structures to multidimensional Data Structures. This use case is borne out of statistical applications which model time series datasets as a single unique identifier for the Series alongside a Time Dimension. By modelling these dataset as a DSD with one Dimension (and a Time Dimension), it is very easy to overlay SDMX metadata to describe the Time Series as a multidimensional Cube with additional series Attributes to carry richer metadata.

Installation How to Install Fusion Data Mapper
Add Dataset Creating new Mapped Dataflows
Maintaining Rules How to create and maintain mapping rules
Query Forwarding How data queries are forwarded from the Target to Source Dataflow using mappings
Videos Data Mapper in Action

Fusion ETL Server

Fusion ETL is a web application which connects to one or more local databases in order to extract data for publication to a remote Fusion Registry instance via the standard Fusion Registry web services.

Fusion ETL provides the ability to map Dataflows to Database tables and Dimensions to specific database columns. Schedules can be configured for automated extraction, views can be defined allowing for extraction of full updates, sub-cubes and deltas.

Fusion ETL provides a sophisticated auditing, logging and error notification framework to ensure full visibility of data publication history.

Installation How to Install Fusion ETL Server
Configuration Reference Configuration of the Fusion ETL Server
Videos Set up and Configuration

Fusion Edge Server

Fusion Edge Server is a solution for supporting high performance data and metadata dissemination, with high throughput. The Fusion Edge Server serves all data, related metadata, including reference metadata, from its highly optimised in memory store and as such has no reliance on a database. The Fusion Edge Server has been designed to support the use case of high availability of data through load balancing. Fusion Edge Server provides access to its stored data and metadata through SDMX compliant web services, and includes support for non-SDMX data formats such as CSV and Excel. The Fusion Edge Server extends the SDMX web services by providing additional information such as data metrics, and data search.

Fusion Edge Server is compatible with Fusion Data Browser and Fusion XL, providing an off-the-shelf solution for both web based data exploration, and from within Microsoft Excel. Connectivity to statistical software such as R and Matlab can be achieved using third party SDMX Connector libraries such as the SDMX Connectors project.


Installation How to Install Fusion Edge Server
Configuration Reference Configuration of the Fusion Edge Server

Fusion Data Browser Topics

Fusion Data Browser is a HTML and JavaScript client side web application which provides a user interface for querying, graphing, and exporting data from a Fusion Registry or Fusion Edge Server.

Live Demo running against data from the Registry Demo Server.

Installation How to Install/Deploy the Data Browser
Configuration Reference Configuration of the Browser, Charts, and Series
Functions Reference Features and functions reference

Fusion Data Essentials Topics

Data Essentials is free for qualifying organisations and, as well as an SDMX metadata registry, it has all the essential Functions needed to load, store, process and publish aggregated statistical data using the SDMX standard. It contains a subset of the functionality of Fusion Registry and many of the articles you will find on this wiki will apply to Data Essentials as well as Fusion Registry.

Version 10.4.4 is available on request NOW! To learn more and request a copy, please go to our Website

Watch our videos on the Data Essentials You Tube Channel

What is Data Essentials? Overview of Data Essentials
How does Data Essentials Differ from Fusion Registry? Features available in Fusion Registry
Installation Guide Quick Start Guide to installing your Registry
PDF Version of Installation Guide PDF Version
Set up your Data Connection How to create a database connection to store your data

Fusion Metadata Registry Topics

What is Fusion Metadata Registry?

How to Guides Guidance on specific tasks using Fusion Metadata Registry
Configuration Reference Guidance on how to configure Fusion Metadata Registry
Concepts Reference Explanation of useful basic SDMX structural metadata concepts
Structures Reference Guidance of each of the structure types available in Fusion Metadata Registry
Formats Reference Guidance of each of the format types available in Fusion Metadata Registry
REST API Reference Purpose, parameters, request content and response content for each of the published web services together with examples