12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Image management is a process in which a person or company seeks to improve, protect and preserve the image others have of them. This can be achieved through a variety of methods, such as promoting a good reputation, publishing positive information about the person or company, participating in public events, and spreading positive messages. Image management requires a strategic and continuous commitment to maintain and improve the image.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Database administration is the process of managing and maintaining a database. It includes creating, modifying and updating the database structure, ensuring data integrity, managing user groups and monitoring database operation. A database administrator is responsible for creating, maintaining, and ensuring the availability of a database.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A Data Engineer is responsible for creating, managing, and optimizing databases and data storage systems. They write software that captures, processes, transforms, and stores data from various sources. They work closely with Data Scientists and other Data professionals to understand and manage data streams. You will also be able to create data visualizations to make the results descriptive.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data Engineering is a branch of computer science that deals with the development, design, implementation and operation of databases, systems and applications for data processing. It includes the use of technologies such as databases, database queries, database administration, data analysis, data warehousing, data mining, business intelligence, and Big Data. It is a very important part of data science and machine learning.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data warehousing is a technology that enables companies to integrate disparate data sources to collect, analyze, and process data from multiple sources. This allows companies to use the data to make better decisions and improve their business strategies. Data warehousing can also be used to link, visualize and validate data.