18-05-2023
Glossary - 2nd part: from “F” to “Z” The aim of this post and its first part is to help you understand some of the most common technical terms that frequently appear in the field of data science. Terms included in the 2nd part: Federated data; GIS (Geographic Information System); insights; interoperability; IoT; KPIs; machine learning; metaverse; NFC; UNE standards; use cases; Query and SQL; sandbox; and token. Consult the 1st part of this basic glossary: from "A" to "D" FEDERATED ...
18-05-2023
Glossary - 1st part: from "A" to "D" The aim of this post and its second part is to help you understand some of the most common technical terms that frequently appear in the field of data science. Artificial intelligence; API; beacons; big data; blockchain; business intelligence; csv; data anonymization; data dictionary; data governance; data horizontality; data lake; data mining; data model; data space; data sovereignty; deep learning and digital twins Consult the 2nd part of this basic glossary: from ...
29-03-2023
Basic principles of the data economy Tackling a large-scale data job can be tricky. We review some key principles to consider for the entire process: 1. You don't have to invent the wheel. There is much progress and large investments made in the data economy. Researching previous work and promoting reuse and cooperation will help you reduce the financial and time effort on your project. 2. The benefit may not be obvious or exist in the short term.The benefit of ...