Difference between revisions of "Fusion Registry Overview"

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SDMX statistical data engine and structural metadata registry.
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[[Category:FR Core]]
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'''SDMX statistical data engine and structural metadata registry.'''
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Fusion Registry is for central banks, international organisations, national statistics offices, development banks and regional statistics authorities who need an enterprise SDMX statistical data warehouse for storage of aggregated time series, data cataloguing and public dissemination.
  
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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>
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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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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>
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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>
  
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[[Category:Components and Modules]]
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==Key Use Cases==
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==Functionality by Edition==
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* Statistical data warehouse
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{| class="wikitable"
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* Collecting and integrating data from multiple data providers
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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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! style="width:200px"| !! style="width:150px" | Community !! style="width:150px" | Data Essentials !! style="width:150px" | Enterprise !! style="width:150px" | Cloud
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* Authoring, maintaining and storing SDMX structural metadata
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* Validating SDMX data prior to submission to another organisation
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| Structural Metadata Registry || style="background:#00FF55 | Full|| style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
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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)
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| Data Collection || No || One data provider, pull from registered data sources not supported || style="background:#00FF55 | Full || style="background:#00FF55 | Full
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* Transforming single-dimension FAME series into multi-dimensional SDMX series
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* Authoring and maintaining reference metadata
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| Data Integration || No || Registry managed SQL data stores only || style="background:#00FF55 | Full || Registry managed datastores and registered data sources only
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== More Information ==
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| Data Storage || No || Registry managed SQL data stores only || style="background:#00FF55 | Full || style="background:#00FF55 | Full
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[[Fusion_Registry_Core_Software_Stack | Software Stack]]<br>
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| Data Structural Validation || style="background:#00FF55 | Full|| style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
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[[Fusion_Registry_Editions | Editions]]
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| Data Business Rules Validation || Arithmetic rules only || Arithmetric rules only || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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| Data Structural Transformation || style="background:#00FF55 | Full|| style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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| Data Calculations || No || No || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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| Data Conversion || SDMX formats only || style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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| Data Query Execution Engine || No || style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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| Mapped Datasets || No ||style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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| Reference Metadata || No || No || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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| Audit || No || No || style="background:#00FF55 | Full|| style="background:#00FF55 | Full
 
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| Content Security || No || No || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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| SDMX REST API || Structures only || No || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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| Extended REST API || Validation and transformation only || style="background:#00FF55 | Full || style="background:#00FF55 | Full || style="background:#00FF55 | Full
 
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Latest revision as of 01:40, 12 September 2023

SDMX statistical data engine and structural metadata registry. Fusion Registry is for central banks, international organisations, national statistics offices, development banks and regional statistics authorities who need an enterprise SDMX statistical data warehouse for storage of aggregated time series, data cataloguing and public dissemination.

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

More Information

Software Stack

Editions

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