Publication

Recommendations for the MIP Technical Development During SGA3

2020
Reports

Abstract

In the scope of the Human Brain Project (SGA2), this document collects the specific technical recommendations for the future development of the MIP derived from the potential integration of new types of data into the platform. This integration is discussed in detail in the accompanying document “In-depth assessment of potential new data integration into the MIP”, with component ID C2975. Here, we begin with a high-level description of the MIP architecture and of its different software components, and then we analyse the evolution of each of them from a technical perspective.

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2020
Reports

Abstract

Official source

Related concepts (32)

Data integration

Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes.

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Data warehouse

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence. Data warehouses are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. This is beneficial for companies as it enables them to interrogate and draw insights from their data and make decisions.

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Recommendations for the MIP Technical Development During SGA3

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