The document describes a data model for agricultural and aquaculture facilities that is compliant with INSPIRE and ISO standards. The data model includes entities like holdings, sites, plots, treatments, crops, products, soils and more. Relationships between entities are also described. The data model is open and scalable.
Caso de exito de Como hacer un plan de marketing Online para una tienda Online desarrollado por Sergio Vazquez en Desguace París http://www.sergiovazquez.es
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FOODIE project aims at building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. In particular, the integration focuses on existing open datasets as well as their publication in Linked data format in order to maximize their reusability and enable the exploitation of the extra knowledge derived from the generated links. Based on such data, for instance, FOODIE platform aims at providing high-value applications and services supporting the planning and decision-making processes of different stakeholders related to the agricultural domain. The keystone for data integration is FOODIE data model, which has been defined by reusing and extending current standards and best practices, including data specifications from the INSPIRE directive which are in turn based on the ISO/OGC standards for geographical information. However, as these data specifications are available as XML documents, the first step to publish Linked Data required transforming or lifting FOODIE data model into semantic format. In this paper, we describe this process, which was conducted semi-automatically by reusing existing tools, and adhering to the mapping rules for transforming geographic information UML models to OWL ontologies defined by the ISO 19150-2 standard. We describe the challenges associated to this transformation, and finally, we describe the generated ontology, providing an INSPIRE-based vocabulary for the publication of Agricultural Linked Data.
Practice Fusion & MongoDB: Transitioning a 4 TB Audit Log from SQL Server to ...MongoDB
Presented by Michael Poremba, Director of Data Architecture, Practice Fusion.
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Practice Fusion decided to move the primary audit system for their Electronic Health Record (EHR) from SQL Server to MongoDB. The goal was to provide a scale-out data store for a system that was under IO pressure. The project required moving 4 TB of production data from a traditional database schema into a document data store while the system was in operation with a peak transaction throughput of up to 1,000 writes per second. The audit system is a tier-1 component mandated by law, and any interruption in the availability of the audit system would result in a system outage.
BIO:
Michael Poremba is Director of Data Architecture at Practice Fusion, a cloud-based electronic health records (EHR) service used by over 100,000 health care providers. He has over 20 years of experience in software engineering with expertise in architecture, performance, and scalability of transactional database applications.
FIWARE Developers Week_ Introduction to Managing Context Information at Large...FIWARE
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www.fiware.org
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Michael Poremba, Director, Data Architecture at Practice FusionMongoDB
Practice Fusion, the largest cloud-based electronic health records (EHR) system in the US, used by more than 100,000 health care providers managing over 100 million patient medical records, faced the need to move their four terabyte HIPAA audit reporting system off of a relational database. Practice Fusion selected MongoDB for their new HIPAA audit reporting system. Learn how the team designed and implemented a highly scalable system for storing protected health information in the cloud. This case study covers the move from a relational database to a document database; data modeling in JSON; sharding strategies; indexing; sharded cluster design supporting high availability and disaster recovery; performance testing; and data migration of billions of historical audit records.
Caso de exito de Como hacer un plan de marketing Online para una tienda Online desarrollado por Sergio Vazquez en Desguace París http://www.sergiovazquez.es
An INSPIRE-based vocabulary for the publication of Agricultural Linked DataRaul Palma
FOODIE project aims at building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. In particular, the integration focuses on existing open datasets as well as their publication in Linked data format in order to maximize their reusability and enable the exploitation of the extra knowledge derived from the generated links. Based on such data, for instance, FOODIE platform aims at providing high-value applications and services supporting the planning and decision-making processes of different stakeholders related to the agricultural domain. The keystone for data integration is FOODIE data model, which has been defined by reusing and extending current standards and best practices, including data specifications from the INSPIRE directive which are in turn based on the ISO/OGC standards for geographical information. However, as these data specifications are available as XML documents, the first step to publish Linked Data required transforming or lifting FOODIE data model into semantic format. In this paper, we describe this process, which was conducted semi-automatically by reusing existing tools, and adhering to the mapping rules for transforming geographic information UML models to OWL ontologies defined by the ISO 19150-2 standard. We describe the challenges associated to this transformation, and finally, we describe the generated ontology, providing an INSPIRE-based vocabulary for the publication of Agricultural Linked Data.
Practice Fusion & MongoDB: Transitioning a 4 TB Audit Log from SQL Server to ...MongoDB
Presented by Michael Poremba, Director of Data Architecture, Practice Fusion.
Michael will share technical insights and key lessons learned by the Practice Fusion audit team, which can be leveraged for your own MongoDB projects. Key topics include: security, schema design, scalability, data migration, disaster recovery, and organizing the team of technical experts.
Practice Fusion decided to move the primary audit system for their Electronic Health Record (EHR) from SQL Server to MongoDB. The goal was to provide a scale-out data store for a system that was under IO pressure. The project required moving 4 TB of production data from a traditional database schema into a document data store while the system was in operation with a peak transaction throughput of up to 1,000 writes per second. The audit system is a tier-1 component mandated by law, and any interruption in the availability of the audit system would result in a system outage.
BIO:
Michael Poremba is Director of Data Architecture at Practice Fusion, a cloud-based electronic health records (EHR) service used by over 100,000 health care providers. He has over 20 years of experience in software engineering with expertise in architecture, performance, and scalability of transactional database applications.
FIWARE Developers Week_ Introduction to Managing Context Information at Large...FIWARE
Introduction to Managing Context Information at Large Scale by Fermín Galán and Leandro Gullén (@leandrogullen @fermingalan) for Developers Week
www.fiware.org
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SubScript - это расширение языка Scala, добавляющее поддержку конструкций и синтаксиса аглебры общающихся процессов (Algebra of Communicating Processes, ACP). SubScript является перспективным расширением, применимым как для разработки высоконагруженных параллельных систем, так и для простых персональных приложений.
Michael Poremba, Director, Data Architecture at Practice FusionMongoDB
Practice Fusion, the largest cloud-based electronic health records (EHR) system in the US, used by more than 100,000 health care providers managing over 100 million patient medical records, faced the need to move their four terabyte HIPAA audit reporting system off of a relational database. Practice Fusion selected MongoDB for their new HIPAA audit reporting system. Learn how the team designed and implemented a highly scalable system for storing protected health information in the cloud. This case study covers the move from a relational database to a document database; data modeling in JSON; sharding strategies; indexing; sharded cluster design supporting high availability and disaster recovery; performance testing; and data migration of billions of historical audit records.
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Hotel management involves overseeing all aspects of a hotel's operations to ensure smooth functioning and exceptional guest experiences. This multifaceted role includes tasks such as managing staff, handling reservations, maintaining facilities, overseeing finances, and implementing marketing strategies to attract guests. Effective hotel management requires strong leadership, communication, organizational, and problem-solving skills to navigate the complexities of the hospitality industry and ensure guest satisfaction while maximizing profitability.
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5. 5www.foodie-project.eu
“Site” level is the lowest INSPIRE-defined one
• However, differently defined within various INSPIRE spatial data
themes (issue addressed by the INSPIRE clusters)
Key for the integration to a Land Parcel Identification System
(LPIS)
• Typically managing Ministry of Agriculture of each Member
State
• 45 LPIS’ within 28 European Member States
• Some countries have LPIS connected to the cadaster, some not
• Basic level for subsidies
Successful integration of the Czech LPIS within the Pilot 3 of
the FOODIE project
Core Data Model – Site