12 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…
Using Pandas for quality error reduction in data repositories
There is no doubt that data has become the strategic asset for organisations. Today, it is essential to ensure that decisions are based on quality data, regardless of the alignment they follow: data analytics, artificial intelligence or reporting. However, ensuring data repositories with high levels…
Data job offers: The most valued skills on the market
Almost half of European adults lack basic digital skills. According to the latest State of the Digital Decade report, in 2023, only 55.6% of citizens reported having such skills. This percentage rises to 66.2% in the case of Spain, ahead of the European average.
Having basic digital skills is essent…
Importance of data profiling, types and tools
What is data profiling?
Data profiling is the set of activities and processes aimed at determining the metadata about a particular dataset. This process, considered as an indispensable technique during exploratory data analysis, includes the application of different statistics with the main objectiv…
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…
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…
Improving efficiency in the legal sector: LegalTech and data analytics
Digital transformation affects all sectors, from agriculture to tourism and education. Among its objectives is the optimization of processes, the improvement of the customer experience and even the promotion of new business models.
The legal sector is no exception, which is why in recent years…
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…
Edge computing and its importance in real-time data management
Autonomous vehicles, smart waste management services, trainers that monitor how much we exercise... We live in an increasingly digital and connected environment, with greater similarities to the future we dreamed of as children. It is the so-called Internet of Things (IoT), a network of physical obj…
The benefits of publishing open mobility data in cities
Mobility is a key economic driver. Increasing the efficiency and quality of a country's mobility system contributes both to the strength of its economy and to improving the quality of life of its citizens. This is particularly important in the mobility systems of cities and their metropolitan areas,…
