12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data maintenance is the process of keeping data in a dataset up to date. This includes correcting, updating, deleting, and adding data. These activities are required to ensure that the data in a dataset is consistent, current, complete, and accurate.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Natural Language Processing (NLP) is a subfield of Artificial Intelligence that deals with natural language processing. It deals with the analysis, processing and generation of natural language by computers. The goal of NLP is to enable computers to understand and process natural language. For example, they can check text, recognize the meaning of a sentence, or analyze the mood in a text.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data validation is a process that aims to improve the quality of data contained in a dataset. This process verifies that the data is accurate, consistent, and complete, and ensures that the data is fit for its stated purpose. The data validation process can be manual or automated. In the manual process, an expert reviews the data and ensures that it is accurate and complete. In the automated process, special programs or algorithms are used to validate the data.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Database optimization is a process of adjusting a database so that it responds to queries as quickly and efficiently as possible. Optimizations can affect various aspects, including database structure, query syntax, and indexing. The goal is to speed up access to the database while conserving system resources.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data discovery is a form of data analysis in which data from various sources is collected, analyzed and visualized to uncover and understand business information. The goal is to gain insights into the data that can be useful for decisions and processes within an organization. Data discovery tools can help companies better understand how to use data and improve decision making.