Figure 1: Centralized model for data & analytics management. In practice, however, there’s a few big problems with this approach. First, the data has to be so carefully curated and loaded, ...

Organizations should embrace a centralized strategy for data policies, access patterns, ... (AI)–based workloads that thrive on a decentralized data model.

The federated model avoids the risks involved in creating a centralized database, which, if compromised, can expose a huge amount of data, says Mark Savage, senior attorney at Consumers Union. In the ...

For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

• Centralized data is easier on marketing budgets. When a business runs on a data-centric model, it’s easier and quicker to pinpoint initiatives that aren’t producing results.

How centralized trust works. Here’s how centralized trust works: As security threats are noted, the central security policy repository is updated, and those updates are sent to all subscribing ...