Search result for: "Blueprints"

Related Nuggets

Linked Data Integration and Publication Pipeline pattern from DataBio R&D Project

Example of a Linked Data Pipeline pattern. This information can be found in the DataBench deliverable D5.4.In the DataBio project,  and some other agri-food projects, Linked Data has been extensively used as a federated layer to support large scale harmonization and integration ...

Agriculture Architectural Blueprints

In this nugget the architecture blueprints for Crops monitoring, Equipment and machines optimization and Precision Agriculture are showed. This information can be found in DataBench deliverable D5.4.Crops Monitoring The use of IoT for crops monitoring in agriculture has been proposed in the late 8...

DataBench Generic Data Pipeline (4 steps data value chain)

The DataBench Framework is following three main dimensions: Pipeline steps, Processing types and Data types. There are also other dimensions like computing continuum – edge, premise, fog, cloud, HPC etc – and others. In addition, we have the Business dimensions: Application domains etc.We are prese...

Earth Observation and Geospatial Pipeline pattern from DataBio R&D Project

Example of a Geospatial EO Pipeline pattern. This information can be found in the DataBench deliverable D5.4.The pipeline for Earth Observation and Geospatial data processing, developed in the DataBio project, depicts the common data flow among six project pilots, four of which are from the agricul...

Financial services - Fraud detection Architectural Blueprints

A sample IT architecture for dealing with Fraud detection.This information can be found in DataBench deliverable D5.4.A major problem faced by banks and insurance services is the risk of frauds: frauds have a major impact in costs for companies, because in most of the cases refunding is the only av...

Generic Big Data Analytics Blueprint and mappings to standards

The DataBench Framework is following three main dimensions: Pipeline steps, Processing types and Data types. There are also other dimensions like computing continuum – edge, premise, fog, cloud, HPC etc – and others. In addition, we have the Business dimensions: Application domains etc.In this nugg...

Genomic Pipeline pattern

Example of a Genomic Pipeline pattern

Healthcare - Patient monitoring Blueprint

A sample IT architecture for dealing with patient monitoring.

IoT Pipeline pattern from the DataBio R&D project

Example of IoT pipeline pattern napped to the Data Value Chain pipeline. This information can be found in the DataBench deliverable D5.4.The “Pipeline for IoT data real-time processing and decision making” has been applied to three pilots in the DataBio project,  from the agriculture...

Mapping technologies on architectural blueprints

To use benchmarks, companies must select benchmarks first. Our goal is to associate technologies with the components of the blueprints discussed in the previous sections and, then, benchmarks to technologies. In this way, companies are supported from the selection of a use case and corresponding bl...

Practical example of creating a blueprint and derived cost-effectiveness analysis: Targeting the Telecommunications Industry

As an example, let us apply the proposed methodology to an industrial scenario: the targeting use case in telecommunications. Targeting deals with choosing the right set of customers for a promotion or offer, with the goal of minimizing the number of contacts (and related “customer fatigue&rd...

Privacy aware analytics pipeline

Example of a typical privacy-aware analytics pipeline

R&D Project Blueprint - Mapping CLASS architecture to the DataBench Pipeline

The CLASS H2020 project has been described in this nugget.The results of the mapping exercise to the DataBench generic pipeline are the following;Mapping to the DataBench generic pipeline: The CLASS architecture has been mapped to the 4 steps of the DataBench generic pipeline , as shown in this fig...

R&D Project Blueprint - Mapping DeepHealth architecture to the DataBench Pipeline

The DeepHealth H2020 project, described in this nugget, provides machine learning and deep learning framework to deal with health data and images. Therefore, the mapping to the 4 steps of the DataBench generic pipeline is mainly focused on the analytical aspects. The results of this mappi...

R&D Project Blueprint - Mapping I-BiDaaS architecture to the DataBench Pipeline

The I-BiDaaS H2020 project, described in this nugget, supports Big Data as a self-service and provides a safe experimentation environment for the methodical development of new Big Data products, services, and tools. The I-BiDaaS system has been applied in a number of industrial use cases in the tel...

R&D Project Blueprint - Mapping MARVEL architecture to the DataBench Pipeline

The MARVEL H2020 project has been described in this nugget. The results of the mapping exercise to the DataBench generic pipeline are the following; Mapping to the DataBench generic pipeline: The MARVEL architecture has been mapped to the 4 steps of the DataBench generic pipeline , as shown in ...

R&D Project Blueprint - Mapping TheyBuyForYou (TBFY) architecture to the DataBench Pipeline

The TheyBuyForYou (TBFY) H2020 project, described in this nugget, defined the TBFY platform. TBFY platform architectureIn TBFY we have been working on a layered architecture of data services, ontologies, core APIs and tools that allows different levels of access and use of our procurement kno...

R&D Project Blueprint - Mapping Track & Know architecture to the DataBench Pipeline

The Track & Know H2020 project has been described in this nugget.The results of the mapping exercise to the DataBench generic pipeline are the following; Mapping to the DataBench generic pipeline: The Track & Know architecture has been mapped to the 4 steps of the DataBench generi...

Retail - price optimization and customized promotions Blueprint

A sample IT architecture for dealing with price optimization and customize promotions. This information can be found in the DataBench deliverable D5.4.Pricing mechanisms optimization and generation of customer-based promotions have been joined in a unique architecture, since a very similar framewor...

Sizing BDA architecture and cost-assessment methodology

Let us provide a description of the steps of the sizing and cost assessment procedure, in order to understand the input needed and the output generated at each step.  At the end of the procedure, we can obtain several results: A sketch of a working architecture, modelled through the bluepr...

Telecommunication - Churn prediction and custom promotions Blueprint

A sample IT architecture for dealing with churn prediction and custom promotions Blueprint

Telecommunications - Network resource and capacity optimization Architectural Blueprints

A sample IT architecture for dealing with network resource and capacity optimization.

The DataBench Framework and the BDV Reference Model

The DataBench Framework is following three main dimensions: Pipeline steps, Processing types and Data types. There are also other dimensions like computing continuum – edge, premise, fog, cloud, HPC etc – and others. In addition, we have the Business dimensions: Application domains etc.The DataBenc...

Transports and logistics - Fleet management and path optimization

A sample IT architecture for Fleet management and path optimization

Use case independent blueprints - Data Processing and Exploitation Systems

Data processing and exploitation systems building blocks can be divided into three logically distinct areas: storage, exploitation and outcome. • Storage. The last phase of data management building blocks is the first one of data processing and exploitatio...

Use case independent blueprints - Data Processing and Exploitation Systems - Data analytics and machine learning architecture

Advanced data analytics require the involvement of artificial intelligence and machine learning. This exploitation architecture is becoming more and more popular since it is the basis of data mining. The output of this architectural building block is or a machine learning model to be used by anothe...

Use case independent blueprints - Data Management Systems

Data management systems building blocks can be divided into three logically distinct areas: ingestion, processing and storage. • Ingestion: Data is transported from assorted resources (internal or external) to the processing function. • ...

Use case independent blueprints - Data Management Systems - Real-time Stream Storage Architecture

Data coming from different streaming sources is acquired, processed and stored. Streaming data is ingested by a message broker and it is made available to a streaming processing platform (defined as lambda function in the figure) to make it storable. Processed data is then stored or into a data la...

Use case independent blueprints - Data Management Systems - IoT backend architecture

The most complex data management system architecture. IoT devices are provided with backend data access while transmitting new data streams. Authentication is managed by a synchronous interface that has access to a NoSQL database in which credentials are stored. Data streams are ingested by a messa...

Use case independent blueprints - Data Management Systems - Extract-Transform-Load storage architecture

Data coming from different sources is extracted, transformed and loaded through an ETL system that is run periodically. Data is then stored or into a SQL storage, or into a NoSQL one. Both the frequency of ETL running and the type of database in which to store transformed data depend on the specif...

Use case independent blueprints - Data Management Systems - Real-time File Storage Architecture

The functionality of this architecture is very similar to the one of the previous building block but it is more suitable whenever the data to ingest, process and store consists of big files (e.g. images, videos, etc.). Data is firstly stored without any processing done into a data lake, here a m...

Use case independent blueprints - Data processing and exploitation systems - Complex event processing (CEP)

Complex event processing (CEP) building block is all about query streaming of data. A stream processor receives data coming from a SQL or NoSQL storage giving as an output detection of some event patterns, event abstraction or event filtering. In this case, storage is not strictly needed but it is ...

Use case independent blueprints - Data processing and exploitation systems - Data visualization and business intelligence architecture

Data visualization & BI is by far the most adopted exploitation architecture. Data stored in a SQL or NoSQL storage is exploited by a processing sub-system that gives as an outcome interactive dashboards, email reports, visual workflows or predictive analytics. In most of data visualization &am...

Use case independent blueprints - Data processing and exploitation systems - Real-time analytics architecture

This architectural building block strictly relies on the usage of machine learning and artificial intelligence thus it is connected in pipeline with the data analytics and machine learning architecture explained here. A trained model, that is usually stored in a NoSQL database receives data co...