The rest of this ecosystem doesn’t exist without the data to run it. Broadly speaking, there are three very different kinds of data sources: databases, applications and third-party data.

Data ecosystems are interconnected, seamless networks that represent the next phase of data management. They allow companies with common interests to securely and dynamically collaborate around ...

Given the example of digital twins, data ecosystems serve as the backbone of their strategy and extend operational efficiency across the power plant.

For example, data ecosystems are helping organizations run analytics on logistics partner data to better optimize supply chains, build a real end-to-end view of the sustainability impact of new ...

Data ecosystems are in evolution, but by taking a long-term, strategic approach to their design, ... Now a Tesla, for example, can use ...

Advocates are simultaneously trying to rescue datasets and data programs while also envisioning something greater.

Phillip Marangella, Chief Marketing and Product Officer at EdgeConneX, highlights one example of how a data center in ...

For example, many database systems and data tools have started supporting Apache Arrow to leverage its performance benefits and become part of the community. Some notable databases and tools in ...

It also integrates with data transformation tools and ETL (extract, transform, load) processes, ensuring that data is consistently modelled and prepared. Key functions of a semantic layer ...