Difference between revisions of "Fusion Registry Overview"

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(Core Functionality Provided in the Editions)
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The main statistical data engine which incorporates the [[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. It also includes an optimised query execution engine and SDMX data and metadata REST API allowing it to be used on its own for applications like internal statistical data warehouses.
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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>
  
In Version 10, the Fusion Registry Core is a monolithic Java web application. For users of the Enterprise Edition, the Core web application 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
==Core Functionality Provided in the Editions==
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* Collecting and integrating data from multiple data providers
{| class="wikitable"
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* Data dissemination - Fusion Registry's SDMX-compliant REST API is suitable for driving a range of dissemination services
|-
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* Authoring, maintaining and storing SDMX structural metadata
! style="width:200px"| !! style="width:100px" | Community !! style="width:100px" | Data Essentials !! style="width:100px" | Enterprise !! style="width:100px" | Cloud
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* Validating SDMX data prior to submission to another organisation
|-
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* Converting data between different formats (SDMX to SDMX, non-SDMX to SDMX, SDMX to non-SDMX)
| Data Collection || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes
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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)
|-
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* Transforming single-dimension FAME series into multi-dimensional SDMX series
| Data Integration || No || No || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes
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* Authoring and maintaining reference metadata
|-
 
| Data Storage || No || No || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes
 
|-
 
| Data Structural Validation || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes
 
|-
 
| Data Transformation || Partial || Partial || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Data Conversion || Partial || Partial || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
|-
 
| Data Dissemination || No || No || style="background:#00FF55 | Yes || style="background:#00FF55 | Yes
 
|-
 
| 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