11 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…
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…
From data strategy to data governance system (part 1)
More and more organisations are deciding to govern their data to ensure that it is relevant, adequate and sufficient for its intended uses, i.e. that it has a certain organisational value.
Although the scenarios are often very diverse, a close look at needs and intentions reveals that many of these…
From data strategy to data governance system (part 2)
In the first part of this article, the concept of data strategy was introduced as the organisation's effort to put the necessary data at the service of its business strategy. In this second part, we will explore some aspects related to the materialisation of such a strategy as part of the design or…
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…
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…
