Data integration Combining data from different sources and providing a unified view Data integration involves combining data residing in different sources and providing users with a unified view of them.[1] 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, complexity (that is, big data) and the need to share existing data explodes.[2] It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. History[edit] The data warehouse approach is less feasible for data sets that are frequently updated, requiring the extract, transform, load (ETL) process to be continuously re-executed for synchronization. where .
notas varias Chief data officer Top information processor in a corporation A chief data officer (CDO) is a corporate officer responsible for enterprise-wide governance and utilization of information as an asset, via data processing, analysis, data mining, information trading and other means. CDOs usually report to the chief executive officer (CEO), although depending on the area of expertise this can vary. Recently, countries like Canada, Estonia, France, Spain[1] and the United States have established this position of Chief Data Officer. Role definition[edit] The chief data officer title shares its abbreviation with the chief digital officer, but the two are not the same job. History and evolution[edit] The role of manager for data processing was not elevated to that of senior management prior to the 1980s. More recently, with the adoption of data science the chief data officer is sometimes looked upon as the key strategy person either reporting to the chief strategy officer or serving the role of CSO in lieu of one.
Sistema de planificación de recursos empresariales La planificación de recursos empresariales es un término derivado de la planificación de recursos de manufactura (MRPII) y seguido de la planificación de requerimientos de material (MRP); sin embargo los ERP han evolucionado hacia modelos de suscripción por el uso del servicio (SaaS, cloud computing). Los sistemas ERP típicamente manejan la producción, logística, distribución, inventario, envíos, facturas y contabilidad de la compañía de forma modular. Sin embargo, la planificación de recursos empresariales o el software ERP puede intervenir en el control de muchas actividades de negocios como ventas, entregas, pagos, producción, administración de inventarios, calidad de administración y la administración de recursos humanos. Los ERP funcionaban ampliamente en las empresas. Definición[editar] Las aplicaciones ERP son sistemas de gestión global para la empresa. Los objetivos principales de los sistemas ERP son: Modulares. Otras características destacadas de los sistemas ERP son:
Bioinformatics Computational analysis of large, complex sets of biological data Early bioinformatics—computational alignment of experimentally determined sequences of a class of related proteins; see § Sequence analysis for further information. Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidates genes and single nucleotide polymorphisms (SNPs). History[edit] Historically, the term bioinformatics did not mean what it means today. Sequences[edit] Sequences of genetic material are frequently used in bioinformatics and are easier to manage using computers than manually. These are sequences being compared in a MUSCLE multiple sequence alignment (MSA). Goals[edit] The primary goal of bioinformatics is to increase the understanding of biological processes. Relation to other fields[edit]
informacion gubernamental Master data management Practice for controlling corporate data Master data management (MDM) is a discipline in which business and information technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.[1][2] Drivers for master data management [edit] Other problems include (for example) issues with the quality of data, consistent classification and identification of data, and data-reconciliation issues. There are a number of root causes for master data issues in organisations. Business unit and product line segmentationMergers and acquisitions Business unit and product line segmentation As a result of business unit and product line segmentation, the same business entity (such as Customer, Supplier, Product) will be serviced by different product lines; redundant data will be entered about the business entity in order to process the transaction. Mergers and acquisitions People, process and technology
Paginas de compra venta online Service-oriented architecture See also the client-server model, a progenitor concept A Service-Oriented Architecture (SOA) is a design pattern in which software/application components provide services to other software/application components via a protocol, typically over a network and in a loosely-coupled way. The principles of service-orientation are independent of any vendor, product or technology.[1] A service is a self-contained unit of functionality, such as retrieving an online bank statement.[2] By that definition, a service is a discretely invokable operation. However, in the Web Services Definition Language (WSDL), a service is an interface definition that may list several discrete services/operations. And elsewhere, the term service is used for a component that is encapsulated behind an interface. Services can be combined to provide the complete functionality of a large software application.[3] A SOA makes it easier for software components on computers connected over a network to cooperate. Overview[edit]
paginas varias Data science Field of study to extract knowledge from data Data science is an interdisciplinary academic field[1] that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data.[2] Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine).[3] Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession.[4] Data science is often described as a multidisciplinary field because it draws on techniques from diverse areas, such as computer science, statistics, information science, and other subject-specific disciplines. A data scientist is a professional who creates programming code and combines it with statistical knowledge to summarize data.[10] In 2012, technologists Thomas H.
Consumo colaborativo en Chile Chile se está convirtiendo en un referente emprendedor a nivel mundial con programas como StartupChile y una gran concentración de talento. Muchos de estos emprendimientos se mueven en el entorno del consumo colaborativo, ¿los quieres conocer?Dalma Berkovics, OuiShare Connector en Santiago de Chile, ha preparado esta presentación que resume de manera breve y completa el auge del consumo colaborativo en Chile. ¿Sorprendidos? También os puede interesar este artículo de TheEconomist: The lure of Chilecon Valley Imagen de portada de Alobos Life en Flickr con licencia CC-BY-NC-ND Ingeniero multimedia fascinado por aplicar los modelos disruptivos de internet fuera de internet fundó ConsumoColaborativo.com en 2011 y ha formado parte de la vanguardia del movimiento desde entonces, siendo referencia en lengua española, ejerciendo de Conector de OuiShare para España y América Latina y formando parte del equipo de Global Curators de CollaborativeConsumption.com.
Chief strategy officer Today, many CEOs have less time to devote to executing strategy, while at the same time uncertain environments increase the need for professional strategy development.[1][2] As a result, Chairmen, Presidents, and CEOs in academic, nonprofit and corporate organizations are appointing CSOs.[3][4] In recent years, the CSO position increased in popularity, which is reflected by the high number of US companies (nearly 50% of S&P 500 firms) who created CSO positions in their top management teams.[5] The CSO is a consultative role; part leader and part doer, with the responsibility of ensuring that execution of the strategy supports the strategy elements. This unique background takes a multitude of different operating experiences, and must include being both a creative thinker and influential collaborator.[6] CSOs are often executives who have worn many hats at a variety of companies or agencies before taking on the responsibilities and tasks that come with the job title.[7][8] References[edit]
Servicio Nacional de Aduanas - Inicio Estimados usuarios, El Departamento de Infraestructura debe realizar trabajos en su plataforma de servidores. Para tal efecto, se ha programado el corte de todos los servicios informáticos en la siguiente fecha y hora: Inicio: 22:00 horas del jueves 24-04-2014Fin: 06:00 horas del viernes 25-04-2014 Servicios afectados: indisponibilidad total de servicios internos y externos. Esperando su acostumbrada comprensión, se despide atentamente, Departamento de Soporte InformáticoSubdirección de InformáticaServicio Nacional de Aduanas