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

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Losmetadatos onlineo 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 onlineson cruciales para el éxitogeneral de un proyecto Big Data así como para la organización de la arquitectura de datos de la empresa.Créditos fotográficos: AleutieTambién 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.Hay algunas diferencias clave que vamos a ver.Puntos de divergencia entre Big Data y los metadatos onlineIgual 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…

Cómo machine learning impulsa la productividad en la gestión de datos

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Machine learninges una técnica mediante la cual los programas aprenden iterativamente a partir de los datos en lugar de ser estáticos. Los sistemas de machine learningse 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

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What 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 theBig 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 MobilityThe connection between enormous information and portability is a promoter of common development and is proportional from numer…

How to Use Big Data to Your Competitive Advantage in Banking?

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Small Data is not Enough AnymoreThe hyper connected world we live in generates over 2.5 billion gigabytes of data daily. This comes from social media, messaging, video uploads, and data created by sensors from IoT. Only in the US, there are over 700 million credit cards, and the average user makes about 20 transactions a month. When adding debit cards, reward cards, company transactions and overseas customers, it becomes clear that traditional spreadsheet environments are going to have a hard time keeping up. We can say that dealing with this problem using only small data tools is not enough anymore.Bank-specific Uses of Big DataAlthough big data can be useful in many verticals, the banking sector faces particular challenges related to risk management, compliance, and fraud, where big data can prove particularly valuable.Real-time Risk AnalysisThe banking sector is subject to the Basel III framework which aims to protect all banks from capital-related risks, credit risks, and financia…

7 Ways Big Data will increase Conversion Rate on your Site

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Big data is a vast collection of data that is collected from various traditional and digital sources. This data is a gold mine for marketing analysts and is a source of constant discovery and interpretation of consumer behavior. Nowadays, analysts are focusing on social media websites and online activities of customers, to collect big data.But big data can only prove to be valuable once you realize the potential of ‘big-data driven marketing‘. This specific form of marketing can work wonders for your business. If you learn how to tackle big-data effectively, it can show instant results and improve overall customer engagement. E-commerce is a very dynamic way of selling online and you can achieve even more than your expected profits, if you learn to increase conversion rate optimization. This is when big data insights and analysis will come to your rescue and help to increase the conversion rate on your website. Here are some benefits of using big data, that can help you to reach your …

The Important Attributes of Big Data to the Travel Industry

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In this contributed article, Ritesh Mehta, Senior Technical Account Manager for TatvaSoft Australia, discusses the impact big data is having on the global travel industry and offers 5 action points for industry players to adopt in order to capitalize on big data.

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6 razones para implantar soluciones líderes en integración y calidad de datos

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Una buena gestión de la calidad de datos es el principal factor de éxito en un proceso de integración de datos. Podría ser considerado como el primer paso del proceso de integración y la clave para conseguir que los datos generen rentabilidad.Las herramientas de business intelligence se basan en gran medida en paneles de control y herramientas analíticas que necesitan integrar datos desde diversas fuentes. Pero siempre, antes de esta integración necesitamos gestionar la calidad de esos datos para asegurarnos que la salida de la herramienta BI sea fiable y nos proporcione ventajas sobre nuestra competencia.Vista la importancia de un trabajo coordinado y efectivo entre herramientas de integración de datos y de calidad de datos, parece claro que el uso de soluciones líderes puede ser fundamental para garantizar el éxito de estos proyectos.Veamos algunas razones para implantar este tipo de soluciones líderes.3 razones para utilizar una herramienta de Integración de datos líderLos líderes …

El éxito de una empresa impulsada por datos y el peligro de TI no alineado

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Cuando una organización es capaz de ejecutar de manera correcta una estrategia de datos,la agilidad y la capacidad de respuesta de la empresa junto a una clara ventaja competitiva, son los principales beneficios que puedenesperarse.Por el contrario, aquellasempresas que le dan menos importancia estratégica a sus datos, se encuentran con un panorama de menor crecimiento de ingresos y una competitividad más baja.Sin embargo, el aspecto más importante de todo esto es entender quela falta de alineación entre TI con el resto de personal de la empresa, en lo que se refiere a estrategias de datos, puede hacerlas fracasar, minimizando el crecimiento esperado.Las ventajas del uso inteligente de los datosUtilizar los datos de forma inteligente hace que las empresas aumenten sus ingresos. Es lo que se desprende del informe “The data directive”. Según este informe,el 81% de las empresas de gran crecimiento utilizan los datosmientras que entre las de bajo rendimiento solo el 57% utiliza los datos.…

La importancia de la seguridad e integridad en base de datos

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Cuando hablamos de integridad en base de datos nos estamos refiriendo a la completitud, la exactitud y la coherencia del conjunto de datos de una base de datos. Podemos tener una percepción de esta integridad en base de datos cuando vemos que entre dos instancias o entre dos actualizaciones de un registro de datos, no hay ninguna alteración, lo que significa que los datos están intactos y sin cambios.
Créditos fotográficos: JohnDWilliamsSentamos las bases de la integridad en base de datos durante la fase de diseño de la database, a través del uso de procedimientos y reglas estándar. A partir de ahí, podemos seguir manteniendo la integridad en base de datos mediante el uso de métodos de comprobación de errores y procedimientos de validación.El concepto de integridad en base de datos garantiza que todos los datos de una base de datos pueden ser rastreados mediante técnicas de trazabilidad, así como conectarse a otros datos. De esta forma se asegura que todo se puede buscar y recuperar.Te…

5 Aspects of Modern Society Now Using Data Analytics To Their Benefit

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In a world so heavily dependent on technology, it is no surprise that new predictive tech and the ability to finally visualize big data in a fully interactive way are at the forefront of many of our industries today, creating what is fondly referred to as“the analytics bandwagon of 2017”. However, not every one of these industries which are now utilizing big data analytics to their benefit originally seemed to need said data visualization to succeed.In fact, many of these industries may be surprising at first, but the outcome of this use of data analytics has taken them from their original spot in the past and catapulted them into the future of technology in business. With this said, five particular industries have truly grown the most since incorporating data analytics appropriately, and, as data scientists, it is highly important that we recognize this in order to be ahead of the data trends that matter the most. After all, trends are the foundation on whichpredictive data analytics

Using Python to Drive New Insights and Innovation from Big Data

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Data science and machine learning have emerged as the keys to unlocking value in enterprise data assets. Unlike traditional business analytics, which focus on known values and past performance, data science aims to identify hidden patterns in order to drive new innovations. Behind these efforts are  the programming languages used by data science teams to clean up and prepare data, write and test algorithms, build statistical models, and  translate into consumable applications or visualizations. In this regard, Python stands out as the language best suited for all areas of the data science  and machine learning framework.In a recent white paper “Management’s Guide – Unlocking the Power of Data Science & Machine Learning with Python,” ActiveState – the Open Source Language Company – provides a summary of Python’s attributes in a number of important areas, as well as considerations for implementing Python to  drive new insights and innovation from big data.When it comes to which lang…

Scality Launches Zenko, Open Source Software To Assure Data Control In A Multi-Cloud World

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Scality, a leader in object and cloud storage, announced the open source launch of its Scality Zenko, a Multi-Cloud Data Controller. The new solution is free to use and embed into developer applications, opening a new world of multi-cloud storage for developers.Zenko provides a unified interface based on a proven implementation of the Amazon S3 API across clouds. This allows any cloud to be addressed with the same API and access layer, while storing information in their respective native format. For example, any Amazon S3-compliant application can now support Azure Blob Storage without any application modification. Scality’s vision for Zenko is to add data management controls to protect vital business assets, and metadata search to quickly subset large datasets based on simple business descriptors.We believe that everyone should be in control of their data,” said Giorgio Regni, CTO at Scality. “Our vision for Zenko is simple—bring control and freedom to the developer to unleash a new …

AI Suggests Recipes Based on Food Photos

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There are few things social media users love more than flooding their feeds with photos of food. Yet we seldom use these images for much more than a quick scroll on our cellphones. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) believe that analyzing photos like these could help us learn recipes and better understand people’s eating habits. In a new paper the team trained an AI system to look at images of food and be able to predict the ingredients and suggest similar recipes. In experiments the system retrieved the correct recipe 65 percent of the time.In computer vision, food is mostly neglected because we don’t have the large-scale data sets needed to make predictions,” says Yusuf Aytar, a postdoctoral associate who co-wrote a paper about the system with MIT professor Antonio Torralba. “But seemingly useless photos on social media can actually provide valuable insight into health habits and dietary preferences.”The paper will be presented lat…

Why Businesses Can No Longer Ignore IoT Security

In this special guest feature, Srikant Menon, Practice Director of Internet of Things (IoT) at Happiest Minds Technologies, discusses how it is imperative for businesses to balance the massive benefits of IoT along with the security risks it poses. While millions of “things” are simple in nature, IoT security is an absolute must and should require an end-to-end approach.

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What Is Artificial Intelligence?

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Here is a question I was asked to discuss at a conference last month: what is Artifical Intelligence (AI)?  Instead of trying to answer it, which could take days, I decided to focus on how AI has been defined over the years.  Nowadays, most people probably equate AI with deep learning.  This has not always been the case as we shall see.Most people say that AI was first defined as a research field in a 1956 workshop at Dartmouth College.  Reality is that is has been defined 6 years earlier by Alan Turing in 1950.  Let me cite Wikipedia here:The Turing test, developed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation is a machine, and all participants would be s…

Business Intelligence as a Competitive Advantage in the Retail Industry

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Compared to other sectors, like finance and technology, retail can be considered a late adopter of the advantages offered by business intelligence to daily processes. This is a paradox, as the operations in retail are some of the most well adjusted for the insight provided by digital dashboards.Questions like: “Who is your ideal client?”, “What are the products you should promote?” and “Which items should you sell as a bundle?”, “What is the preferred way of paying?” and “How do your clients engage with your brand?”, can all be answered through a BI platform that integrates point of sale data with demographics and interactions from online interfaces.Why is Business Intelligence a solution for retail?The value of BI comes from the evolution of retail companies from organizations based on operations to companies built on innovation. The intermediate stages are consolidation, integration, and optimization. This is a journey from ad-hoc to automation, from naïve to well-defined processes …

How Big Data Analytics Can Help Your Business

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We all like to feel as if we have an intuitive sense of what our businesses need to succeed, but the reality is that successful companies rely on big data analytics to continuously understand, measure and improve. With powerful computing available via the cloud, and more tools and services for data collection and analysis than ever before, you can gain the edge over your competition, streamline your operations, connect with the right customers and even develop or refine the right products, using the unprecedented insights from big data. Refine your business strategy by integrating big data analytics into these five business areas:Process improvement – work smarterThis is often one of the first areas businesses target and think of when it comes to big data analytics. Collecting data on your business process or production invariably exposes inefficiencies and opportunities. While there are often financial gains, resource use or reuse, scheduling and fulfillment/delivery are all areas th…