Dirty Data between Errors and Their Handling—A Firsthand Experience in Solving Dirty Data from Within

Managing large amounts of data is becoming part of everyday life in most organizations. Handling, analyzing, searching, and making predictions from big data is becoming the norm for many organizations of many interests. Big data provides the foundations for more benefits and higher values to be extracted from big data. As big data comes with countless benefits, it also comes with many challenges to fulfilling its expectations. Some of those problems haunting big data banks are being termed dirty data. This paper focuses on dirty data while working on an organization’s natural live information system. The author was responsible for studying and analyzing a faltering information system and planning and carrying out the required solutions and fixes. The importance of the work carried out lies in the high level of dirty data observed in the system. Therefore, this paper is based on the part of dirty data—the paper focuses on how the team suffered from dirty data and how it was dealt with.

Constructing a Simple Verbal Compiler

The paper’s purpose is to design and program the four operation-calculators that receives voice instructions and runs them as either a voice or text phase. The Calculator simulates the work of the Compiler. The paper is a practical example programmed to support that it is possible to construct a verbal Compiler.

Biometrics as a Matrix: The Short Distance between Crime and Security Systems, Prompting an Artificial Intelligence to Invent Electronic Biometrics ID!

This paper reviews the essential biometrics and develops a way to combine them with the Computer and User Information, giving us an Electronic Biometrics ID. This way, distributed databases contain imperative data from much helpful information that supports more security. We reviewed examples of what these databases would look like, which any responsible party could design to be global. As will be mentioned later, we obtain common international databases whose data are modified according to factors such as the owner of the device, the location of the device, and so on. This is very useful for tracking, and it combines biometrics with data set to give us a comprehensive electronic identification.