Spark SQL: Catalyst Optimizer
In previous blog posts, we made an introduction to the Apache Spark distributed processing framework. The purpose of this entry is to present the advantages of using the Spark SQL…
File formats in Hadoop
As mentioned in previous articles, Hadoop is an application ecosystem that allows the implementation of distributed, functional and scalable Big Data platforms. The Hadoop ecosystem is designed to process large…
Blockchain: Introduction
In recent years there has been a clear trend towards investment in Fintechs companies, where many of them make use blockchain technology, proposing new business models that were previously unimaginable.…
BI Architecture (Part IV): Comparison between Inmon and Kimball
As you may have observed after exposing in previous posts the approaches of Inmon and Kimball, their principles are so different that not only their internal structure and scope vary, but also their intention and purpose are affected.
BI Architecture (Part III): Ralph Kimball’s approach
After having explained Bill Inmon’s point of view on what the premises and foundations should be when building a datawarehouse, it is now time to study Ralph Kimball’s approach, a somewhat different view from start to finish.
BI Architecture (Part II): The William H. Inmon approach
In the previous blog post, Introduction to DataWarehouse & DataMart, we provided a first approach to the concepts of DataWarehouse and DataMart where, as an introduction, I presented a basic definition of these two fundamental components in the architecture of every BI project.
What is Business Intelligence?
Today the term BI, Business Intelligence, is one of the most commonly used at business level when talking about data management and the search for systems which allow us to make sense of them. BI is the set of processes that transform a company’s data into information and knowledge to support decision-making.