New data-intensive technologies like data analytics, artificial intelligence (AI) and the Internet of Things (IoT) are driving huge growth in enterprise data. With this growth comes a new set of IT architectural considerations that revolve around the concept of data gravity. Computer Weekly brought this interesting topic to our attention in their article, “Data gravity: What is it and how to manage it.”
When it comes to enterprise applications, access to data is usually a good thing. And the greater the volume of required data held locally to where it is processed, the better for the business, its applications, decision-making and compliance. But the need to store and manage data brings its own problems, including higher costs, lower system performance and management overheads.
Data gravity is a metaphor on the idea that data and applications are attracted to each other, similar to the attraction between objects that is explained by the Law of Gravity. As datasets grow larger and larger, they become harder and harder to move. So, the data stays put. It’s the gravity, and other things that are attracted to the data, like applications and processing power, that moves to where the data resides – even in the cloud.
Making data findable is important. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands. Access Innovations is known as a leader in database production, standards development, and creating and applying taxonomies.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.