13 posts found
Data Mesh and Data Fabric: New Perspectives in Enterprise Data Architectures
Over the last decade, the amount of data that organisations generate and need to manage has grown exponentially. With the rise of the cloud, Internet of Things (IoT), edge computing and artificial intelligence (AI), enterprises face the challenge of integrating and governing data from multiple sourc…
Open geographic data applications of the National Centre for Geographic Information (NICHD)
The National Centre for Geographic Information publishes open geospatial data from the National Cartographic System, the National Geographic Institute and other organisations through web applications and mobile applications to facilitate access to and consultation of geographic data by citizens.
Geo…
What is the value of open geographic data?
Geographic data allow us to learn about the world around us. From locating optimal travel routes to monitoring natural ecosystems, from urban planning and development to emergency management, geographic data has great potential to drive development and efficiency in multiple economic and social area…
Our first digital navigation. Open source alternatives to Google Maps
In the vast technological landscape, few tools have made as deep a mark as Google Maps. Since its inception, this application has become the standard for finding and navigating points of interest on maps. But what happens when we look for options beyond the ubiquitous map application? In this post w…
Emerging Trends in Geospatial Data and AI
On September 8, the webinar \"Geospatial Trends 2023: Opportunities for data.europa.eu\" was held, organized by the Data Europa Academy and focused on emerging trends in the geospatial field. Specifically, the online conference addressed the concept of GeoAI (Geospatial Artificial Intelligence), whi…
MAMD Methodology: The Alarcos Model of Data Improvement
There is such a close relationship between data management, data quality management and data governance that the terms are often used interchangeably or confused. However, there are important nuances.
The overall objective of data management is to ensure that data meets the business requirements tha…
10 Popular natural language processing libraries
The advance of supercomputing and data analytics in fields as diverse as social networks or customer service is encouraging a part of artificial intelligence (AI) to focus on developing algorithms capable of processing and generating natural language.
To be able to carry out this task in the current…
10 Popular Data Analytics and Machine Learning Libraries
Programming libraries refer to the sets of code files that have been created to develop software in a simple way . Thanks to them, developers can avoid code duplication and minimize errors with greater agility and lower cost. There are many bookstores, focused on different activities. A few weeks ag…
11 libraries for creating data visualisations
Programming libraries are sets of code files that are used to develop software. Their purpose is to facilitate programming by providing common functionalities that have already been solved by other programmers.
Libraries are an essential component for developers to be able to program in a simple way…
The Spatial Data Infrastructure of Spain (IDEE), a benchmark for geospatial information
Throughout history, geospatial data have allowed humankind to better understand its environment. When we talk about geographic or spatial data, we refer to data "that implicitly or explicitly refer to a location relative to the Earth", according to the Spanish Standard UNE 148004:2018. Generally, th…
