10 posts found
GeoPackage in INSPIRE: efficiency and usability for geospatial data geospatial data.
In the field of geospatial data, encoding and standardisation play a key role in ensuring interoperability between systems and improving accessibility to information.
The INSPIRE Directive (Infrastructure for Spatial Information in Europe) determines the general rules for the establishment of an Inf…
What can we find in the CRUE report "Data Analytics at the University"?
Last November 2023, Crue Spanish Universities published the report TIC360 "Data Analytics in the University". The report is an initiative of the Crue-Digitalisation IT Management working group and aims to show how the optimisation of data extraction and processing processes is key to the generation…
Progress on the state of open data globally
It is now almost five years since the publication of the study on the first decade of open data by the Open Data for Development (OD4D) network and more than 60 expert authors from around the world. This first edition of the study highlighted the importance of open data in socio-economic development…
A common language to enable interoperability between open dataset catalogs
Open data plays a relevant role in technological development for many reasons. For example, it is a fundamental component in informed decision making, in process evaluation or even in driving technological innovation. Provided they are of the highest quality, up-to-date and ethically sound, data can…
When to use each programming language in data science?
Python, R, SQL, JavaScript, C++, HTML... Nowadays we can find a multitude of programming languages that allow us to develop software programmes, applications, web pages, etc. Each one has unique characteristics that differentiate it from the rest and make it more appropriate for certain tasks. But h…
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 role of universities in the dissemination of open data
Spanish universities have numerous quality data that have great economic and social potential. For this reason, for some time now we have been witnessing a data opening movement by universities in our country, with the aim of promoting the use and reuse of the information they generate, as well as i…
Why should you use Parquet files if you process a lot of data?
It's been a long time since we first heard about the Apache Hadoop ecosystem for distributed data processing. Things have changed a lot since then, and we now use higher-level tools to build solutions based on big data payloads. However, it is important to highlight some best practices related to ou…
