From Data Mesh to Data-as-a-Service
Posted: Mon Jan 27, 2025 4:29 am
Distributed applications require decentralized data structures. The discussions about new storage models such as data mesh or multi-tenancy can be reduced to this simple denominator. There is a very simple principle behind it, but the pitfalls lie in the implementation.
Modern storage models are based on the approach of no longer storing and providing data in central storage systems and databases, but in decentralized data and database architectures. It is pointless to think about whether this promotes the introduction of native cloud afghanistan telegram screening and cloud platform technologies or is not rather a logical consequence of the structure of these increasingly popular IT provision models. The fact is that hybrid and multi-cloud environments in particular rely on flexible, distributed storage structures. And that does not even take into account the topic of edge computing with its peripheral data sources and storage systems.
Beyond the hype terms, there is a principle behind these data models that has already been adopted at all levels of the cloud layer model. Cloud infrastructures are usually provided as infrastructure-as-a-service (IaaS) , platforms as platform-as-a-service (PaaS) and applications as software-as-a-service (SaaS) . So what could be more natural than the idea that in this context the data is also made available as a service ( DaaS )?
Modern storage models are based on the approach of no longer storing and providing data in central storage systems and databases, but in decentralized data and database architectures. It is pointless to think about whether this promotes the introduction of native cloud afghanistan telegram screening and cloud platform technologies or is not rather a logical consequence of the structure of these increasingly popular IT provision models. The fact is that hybrid and multi-cloud environments in particular rely on flexible, distributed storage structures. And that does not even take into account the topic of edge computing with its peripheral data sources and storage systems.
Beyond the hype terms, there is a principle behind these data models that has already been adopted at all levels of the cloud layer model. Cloud infrastructures are usually provided as infrastructure-as-a-service (IaaS) , platforms as platform-as-a-service (PaaS) and applications as software-as-a-service (SaaS) . So what could be more natural than the idea that in this context the data is also made available as a service ( DaaS )?