Transaction processing systems (SPT) are the union of software, network equipment, servers, among others, that are used to work with large volumes of data. The inadecuated design of an SPT in one of its processes or the malfunction in one of its components or elements, it can directly impact the performance of an application and the company operation environment or product depending on the system objective, it could cause waste of time in process responses, it could have an impact on the total failure of the service. Failure to provide this service properly could cause economic losses in a company or organization.

The SIG allows us to make an exhaustive analysis of the territory in the most diverse areas. The SIG allows us to make an exhaustive analysis of the territory in the most diverse areas. They are versatile tools, with a wide field of application in any activity that entails a spatial component. The objective of this scientific resource is to perform an analysis of the use of technology for the data collection of geo-referenced points the effect that causes load and visualization time indexes for users under the comparison of two specific technologies, one of them Php and Ajax resulting in the recognition of the best technology and possible failure causes that make the processes much faster and when this does not happen.

In our world, the increase of vehicles in each city has been a constant problem causing an misnamed "vehicular congestion", the same that has been fought for each administrative sector, in this article, noting that they are the best tools for creating software that enables recommend solutions in vehicle descongestion, which is vital to a centralized approach fulfilling tasks, optimizing time resources are used to analyze the parameters that influence the vehicular congestion.

In the following article, we seek to analyze parameters that have an impact on vehicular congestion, such as density, speed and intensity, which allow finding certain indicators that may be related to problems raised on roads or avenues, such as: traffic slowness due to failure in synchronization of the traffic lights, the inconveniences caused during peak hours, etc. Using, information collected from media communication (newspaper), and data displayed by INEC, an analysis will be carried out applying formulas related to the mentioned parameters with certain characteristics found in transit, at a national level, including the most important cities how are Quito and Guayaquil.

In recent years advances in technology have led to the generation of large volumes of data, mainly numerical data, highlighting the interest in processing them to extract knowledge and information from them. The main objective is to make more efficient the systems from which these data have been obtained and help in decision making. The information in a database is implicit in the values that represent the different states of the systems, whereas the knowledge is implicit in the relations between the values of the different attributes or present characteristics. These relationships are identified by groups to be discovered and describe the relationships between the input and output states. One of the main human functions is to classify, differentiate and group different objects according to their attributes. The article investigates how to apply fuzzy grouping algorithms, which allow an element to belong to more than one group by a degree of membership, in order to obtain relevant characteristics or recognize patterns of a set of data. We discuss a study that involved 4 main fuzzy algorithms where each algorithm is explained and how they are related, as well as with each new algorithm solves problems that the previous one did not solve efficiently.