Which Of The Following Is True Of Data-as-a-service (Daas) Platforms?

Data as a Service (DaaS) is an information provision and distribution model in which data files (including text, images, sounds, and videos) are made bachelor to customers over a network, typically the Cyberspace. The model uses a cloud-based underlying engineering that supportsWeb services andSOA (service-oriented compages). DaaS information is stored in the cloud and is accessible through different devices. The service as well offloads the downsides of data management to the cloud provider.

DaaS allows for, only does non require, the separation of data toll and usage fromsoftware or platform cost and usage. Hundreds of DaaS vendors, with various pricing models, exist worldwide. Pricing tin exist volume-based (a fixed cost per megabyte of data in the entire repository) or format-based (for case, a fixed cost per text file and another fixed price per image file).

High-speed Internet service has become increasingly available to support user admission from more than areas around the world, making DaaS an attractive option to a wider audience. Similarly, organizations with an backlog of data may have a difficult and expensive time maintaining that information, making DaaS a popular solution. The development of SOA has greatly reduced the relevance of the particularplatform on which data resides.

Examples of DaaS

DaaS offers convenient and cost-effective solutions for customer- and client-oriented enterprises. For instance, Fidelitone, a supply-concatenation and logistics management company, employed ARI'south DataStream DaaS solution to deploy parts catalogs into the customer aqueduct.

A few other examples of DaaS providers include:

Urban Mapping, a geography information service, provides data for customers to embed into their own websites and applications.
Xignite is a company that makes financial data bachelor to customers.
D&B Hoovers provides customers with business concern information on diverse organizations.

Benefits of DaaS

Benefits of DaaS include the following:

Power to move data hands from i platform to some other.
Abstention of the confusion and conflict that can occur when multiple "versions" of (supposedly) the same data be in different locations.
Outsourcing of the presentation layer, reducing the overall cost of data maintenance and delivery.
Preservation of data integrity by implementing admission control measures such as potent passwords and encryption.
Abstention of "vendor lock-in."
Ease of administration.
Ease of collaboration.
Compatibility amidst various platforms.
Global accessibility.
Automated updates.

Challenges of DaaS

Challenges to DaaS include concerns with privacy, security and data governance. Challenges in privacy circumduct around the fact that the data shared may ofttimes include information pertaining to mission-disquisitional applications. Concerning security, the information for mission-critical applications may be left venerable if the DaaS vendor's security is not up-to-par. Information technology may as well be difficult to ensure data governance among data betwixt a DaaS environment and an organization.

DaaS's future

Information management specialists believe that equally more companies figure out which data avails they can hire for competitive advantage, the DaaS market volition proceed to expand. DaaS is expected to be a launching point for both business concern intelligence and big data analytics markets, co-ordinate to Gartner. Gartner also still sees the DaaS market growing as more than organizations outset seeing DaaS equally a plumbing equipment way to manage mission-critical information.

DaaS is closely related toStorage equally a Service (SaaS) andSoftware as a Service (likewise abbreviated SaaS) and may be integrated with one or both of these provision models. As is the case with these and othercloud computing technologies, DaaS adoption may be hampered by concerns about security, privacy and proprietary issues.

This was terminal updated in May 2019