10/11/17

Metadatos online y big data. Diferencias y ventajas cuando se complementan

Los metadatos online o in house son ignorados constantemente en los proyectos Big Data, y eso va en perjuicio del propio proyecto. Son ignorados porque muchas veces se da por sentado que la gestión de Big Data ya lo contempla. Pero esto no siempre es así y los metadatos online son cruciales para el éxito general de un proyecto Big Data así como para la organización de la arquitectura de datos de la empresa.

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Créditos fotográficos: Aleutie

También ocurre que algunas veces los metadatos online son confundidos con el Big Data. Es importante conocer la diferencia entre metadatos online y Big Data para determinar si el Big Data los contiene, si Big Data en realidad es solo una gran colección de metadatos o si es más que eso.

 

Descárgate aquí la guía

 

Hay algunas diferencias clave que vamos a ver.

 

Puntos de divergencia entre Big Data y los metadatos online

Igual que sucede con la aguja y el pajar, al comparar los metadatos online con Big Data se aprecia la diferencia, no sólo en cuanto a volumen, sino en cuanto a granularidad.

Los grandes datos son una colección de información de dimensiones incalculables que evolucionan a gran velocidad, esto dificulta su análisis y procesamiento, algo que requiere del uso de tecnología avanzada para descubrir tendencias y patrones. Por su parte, los metadatos son los detalles descriptivos de un activo digital individual. Gracias a su especificidad consiguen proporcionar información granular sobre un único archivo.

Sin embargo, hay que tener en cuenta que, cuando se crea un activo digital, también se están generando metadatos online sobre su origen, hora de creación, fecha y formato, entre otros. Y no basta con disponer de ellos para mantenerse organizado en la era digital, sino que, estos datos sobre los datos:

  • Deben estar debidamente nombrados, etiquetados, almacenados y archivados en un lenguaje consistente con otros activos de la colección. El principal beneficio de la consistencia en la administración de los metadatos online es que elimina la necesidad de tener una persona encargada de saber dónde está todo ya que, cuando la taxonomía es la misma el trabajo se simplifica y se puede hacer un aprovechamiento más eficiente de los recursos.
  • Necesitan que se lleve a cabo una gestión de activos adecuada, en base a una metodología que permita encontrar y distribuir los activos, permitiendo aprovechar todo su valor.
  • Hay que comprender los metadatos online, de igual forma que es preciso conocer la diferencia entre datos estructurados y no estructurados.

El entorno Big Data continúa expandiéndose rápidamente y, por eso, es crucial invertir el tiempo necesario en asegurarse de que los metadatos online del negocio están bien gestionados, ordenados y listos para su consumo.

Sólo de esta forma, estos datos descriptivos, administrativos y estructurales que definen los activos informacionales de la empresa podrán proporcionar el valor y el propósito del contenido de los datos, convirtiéndose así en una herramienta eficaz para localizar rápidamente la información, algo imprescindible para los análisis de Big Data y los informes de los usuarios empresariales.

 

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Cómo machine learning impulsa la productividad en la gestión de datos

Cómo machine learning impulsa la productividad en la gestión de datos

Machine learning es una técnica mediante la cual los programas aprenden iterativamente a partir de los datos en lugar de ser estáticos. Los sistemas de machine learning se utilizan para crear un modelo basado en aportación continua que se puede utilizar para hacer predicciones o tomar decisiones.



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Big Data’s Role in Marketing and Sales

big data roiWhat are significant regions of promoting and deals getting the vast majority of the assistance from Big Data information investigation? For Customer Analytics, 48% of the enormous information utilize cases exist while for the Operational Analytics, 21% of the Big Data information utilize cases are available according to the Forbes report. In a similar report, it was expressed that the Big Data utilize cases for Optimization of Enterprise Data Warehouse is 10%, New administration and item advancement is 10% and Compliance and Fraud are 12%. This examination uncovers that various are keen on using enormous information for client esteem investigation. There is no compelling reason to state that portable applications are assuming a noteworthy part in capitalizing on the enormous information to drive promoting and deals.

The Relationship between Big Data and Mobility

The connection between enormous information and portability is a promoter of common development and is proportional from numerous points of view. One needs to begin with the fundamentals to comprehend the profundity in this relationship. The rising significance of versatile applications advanced the exponential development of Big Data information both in assortment and volume and this supported the portable application examination to find out about the clients and customers.The same client information acquired from investigation and gadget sensors is encouraging the key basic leadership and investigation with more commonsense bits of knowledge. This is the motivation behind why portable is exceedingly suited for the entire Big Data information direction.

The versatility’s anyplace whenever nature helped the organizations secure more experiences on the client information in view of info, utilization designs, and the client conduct. Notwithstanding enabling the immediate access to information of the client, the applications that are running out of sight additionally grab a whole cluster of use examples and client information that permits additionally an incentive for examination with regards to the zone of promoting. This surge of fluctuated information comprising of client activities and conduct give versatile applications every one of the materials for more viable experiences to control the showcasing activities. At the point when clients are staying dormant without utilizing any versatile application, the gadget is proceeding to grab the profitable client information.

This immense save of portable client information is utilized further for motivation behind enhancing the versatile client encounters, to drive and additionally assemble the portable movement, to drive more client communication and engagement and to push the business transformation. The landing of progressive client investigation like Flurry’s examination is a fine case of how the application engineers can really take assistance from this information to guide client engagement and maintenance. Step by step the portable application promoting is winding up progressively subject to the significant examination offered by client bits of knowledge and information and in this regard, the estimation of Big Data information investigation is exceedingly developing.

With respect to versatile promoting and portable publicizing, the over the top measure of information driven bits of knowledge has a noteworthy part to play. Each versatile application gains area based notices and area sensors nowadays. Grabbing the client’s area information is constantly a major and pivotal piece of versatile Big Data information which empowers logical and very much focused on promoting approach. The continuous and especially focused on hyper-nearby notices and messages that don’t consider ‘where’ and ‘when’ component of the client circumstance in its extent of impact. The particular client information combined with area information can control more personalisation in advertising by means of portable applications.

Increasing Competitive Advantage with Real-Time Analytics Through Big Data

The significant investigation is really getting things going progressively in the current circumstances. The portable advertisers today are defenseless against the estimation of ongoing. With high volumes of information giving investigation more control than any time in recent memory, the constant examination can offer more focal points to the organizations. In this regard, the capacity of the progressed Big Data information innovation can assume a conclusive part. The Hadoop announcing empowers inspecting the information continuously. The organizations today can give speedy choices and react to changes in the immediate showcasing activities with the continuous investigation. Today, a business can acclimate to the adjustments amidst any crusade, on account of this constant preferred standpoint.

Basic Components in a Productive Data-Driven Marketing Strategy

As the centrality of information driven promoting started pushing numerous organizations to embrace to enormous information investigation and devices, there are some basic features that organizations need to remember. An information driven way to deal with promoting must be cross-disciplinary in any case thus you should support the cooperation among different groups and colleagues. In the second place, the attention must be on the privilege KPIs and significance must be given to the bits of knowledge between lines than just numbers. Every now and then, survey your purchaser personas on the premise of information driven bits of knowledge. The purchaser persona on which your business centers must be assessed and if necessary, more trademark subtle elements must be annexed to it.

Numerous organizations are using information driven promoting way to deal with contact their clients. An enormous 44% of purchaser showcasing organizations and organizations are utilizing Big Data information to make their promoting more client engaged and responsive. Every one of these measurements and information help us in thinking about the enormous importance of Big Data information in deals and showcasing. For any business now, while versatility is the inside phase of an advanced system, enormous information pushes the advantages of portability with more customized, hyper-nearby and continuous showcasing approaches.

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