Difference between revisions of "Fusion Registry Overview"

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The main statistical data engine with an integrated [[SDMX Metadata Registry]].
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'''SDMX statistical data engine and structural metadata registry.'''
  
The Fusion Registry Core is responsible for all data collection, integration, processing and storage. Its optimised query execution engine and SDMX data and metadata REST API make it suitable for a range of use cases including external dissemination, and as a data source for internal analysis purposes.
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This is the main engine at the heart of all Fusion-based SDMX systems providing data collection, integration, processing, storage, query execution and time-series calculation services.<br>
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Its 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>
  
The Fusion Registry Core is a monolithic Java web application which in the Enterprise Edition can be deployed in load-balanced clusters for scalability and resilience.
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==Key Use Cases==
 
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* Statistical data warehouse
[[Category:Components and Modules]]
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* Collecting and integrating data from multiple data providers
==Functionality==
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* Data dissemination - Fusion Registry's SDMX-compliant REST API is suitable for driving a range of dissemination services
The table below summarises the functionality provided by the Fusion Registry Core, for each edition of Fusion Registry.
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* Authoring, maintaining and storing SDMX structural metadata
 
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* Validating SDMX data prior to submission to another organisation
{| class="wikitable"
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* Converting data between different formats (SDMX to SDMX, non-SDMX to SDMX, SDMX to non-SDMX)
|-
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* Transforming the structure of data to different dimensionality and coding schemes using SDMX Structure Mapping (for instance, map a dataset to a simplier DSD with fewer dimensions suitable for publication)
! style="width:200px"| !! style="width:100px" | Community !! style="width:100px" | Data Essentials !! style="width:100px" | Enterprise !! style="width:100px" | Cloud
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* Transforming single-dimension FAME series into multi-dimensional SDMX series
|-
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* Authoring and maintaining reference metadata
| Data Collection || No || Limited || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Data Integration || No || Limited || style="background:#00FF55 | Full || Limited
 
|-
 
| Data Storage || No || Limited || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Data Structural Validation || style="background:#00FF55 | Full|| style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Data Business Rules Validation || Limited || style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Data Structural Transformation || style="background:#00FF55 | Full|| style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
| Calculations || No || No || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Data Conversion || Limited || style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Data Dissemination || No || style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Mapped Datasets || No ||style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Reference Metadata || No || No || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes
 
|-
 
| Audit || No || No || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes
 
|-
 
| Content Security || No || No || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes
 
|-
 
| SDMX REST API || No || No || style="background:#00FF55 | Yes || No
 
|-
 
| Extended REST API || No || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes
 
|-
 
|}
 

Revision as of 11:24, 30 October 2020

SDMX statistical data engine and structural metadata registry.

This is the main engine at the heart of all Fusion-based SDMX systems providing data collection, integration, processing, storage, query execution and time-series calculation services.
Its 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.

Key Use Cases

  • Statistical data warehouse
  • Collecting and integrating data from multiple data providers
  • Data dissemination - Fusion Registry's SDMX-compliant REST API is suitable for driving a range of dissemination services
  • Authoring, maintaining and storing SDMX structural metadata
  • Validating SDMX data prior to submission to another organisation
  • Converting data between different formats (SDMX to SDMX, non-SDMX to SDMX, SDMX to non-SDMX)
  • Transforming the structure of data to different dimensionality and coding schemes using SDMX Structure Mapping (for instance, map a dataset to a simplier DSD with fewer dimensions suitable for publication)
  • Transforming single-dimension FAME series into multi-dimensional SDMX series
  • Authoring and maintaining reference metadata