Inteligencia de Negocios

Un artículo que algunas ideas en torno a los llamados científicos de datos, la cultura que los rodea y el como escoger entre ellos en función del perfil con que vienen.

Naturalmente que todos en todas las materias que se dictan, desean y requieren del pensamiento critico. Sin embargo, enseñar como pensar correctamente no es parte de ninguna materia en concreto... aunque no por eso debemos limitarnos a la hora de plantear un posible curso sobre el tema.

En el artículo, se explora el engranaje de cuatro puntos para enseñar a pensar críticamente. Estos son:

Argumentación

Lógica

Psicología

Filosofía de la Ciencia

Are you good at math? Like, really good at math? Do you also know Python and, oh yeah, have deep knowledge of a particular industry?

On the off chance that you possess this agglomeration of skills, you might have what it takes to be a data scientist. If so, these are good times. LinkedIn just voted "statistical analysis and data mining" the top skill that got people hired in 2014.

In this white paper, we describe the rapidly evolving landscape for designing an enterprise data warehouse (EDW) to support business analytics in the era of "big data.” We describe the scope and challenges of building and evolving a very stable and successful EDW architecture to meet new business requirements. These include extreme integration, semi- and un-structured data sources, petabytes of behavioral and image data accessed through MapReduce/Hadoop as well as massively parallel relational databases, and then structuring the EDW to support advanced analytics. This paper provides detailed guidance for designing and administering the necessary processes for deployment. This white paper has been written in response to a lack of specific guidance in the industry as to how the EDW needs to respond to the big data analytics challenge, and what necessary design elements are needed to support these new requirements.

The Kimball Group is a focused team of senior consultants specializing in the design of effective data warehouses to deliver enhanced business intelligence. Through consulting, education, and writing, we help organizations leverage the information that’s collected by their operational systems to make better business decisions. We pioneered this industry. Although what we do is no longer unique, how we go about doing it most definitely is.

Averaging over 25 years of experience in the field, our vendor-independent team has the know-how to relate to a broad range of client situations, and the insight to react to the elements that make each distinct. Plus the aptitude and attitude to look out for our clients’ best interests at all times. We wrote the best-selling books on dimensional modeling and DW/BI methodology. And every day, we surround our clients with more ways to make smarter decisions.

That’s why we’re the industry leader in DW/BI methodology, design and education, especially when it comes to dimensional modeling. Although many of our competitors are larger, none are more experienced or relentlessly practical.

Entity Relationship Diagrams (ERDs) illustrate the logical structure of databases.

Esto es un flowchart bien hecho. Divertido, se deja entender, y por qué no, quizás ayude a alguien a llegar al espacio.

Learn about the differences between modern and traditional flowcharts and more in this article from the SmartDraw Flowchart site. The Flowchart site contains useful information about this type of diagram.

Esta es una excelente guía para crear diagramas de flujo (flowchart en inglés). Define apropiadamente cada simbolo y lo que es más importante, discute en una forma entendible el uso de un diagrama de flujo en diversas situaciones reales.

Jugando un poco con LucidChart, he creado el diagrama aquí visto. Pretende ilustrar un poco como es el proceso de obtener calificación en una materia.

Relational databases have been in use for a long time. They became popular thanks to management systems that implement the relational model extremely well, which has proven to be a great way to work with data [especially for mission-critical applications].

In this DigitalOcean article, we are going to try to understand the core differences of some of the most commonly used and popular relational database management systems (RDBMS). We will explore their fundamental differences in terms of features and functionality, how they work, and when one excels over the other in order to help developers with choosing a RDBMS.