With data distributed across multiple systems and applications, it can be challenging to provide diversified data to different business applications and consumers with consistent quality and security. Providing real-time data streams and unstructured data to business applications/partners is also challenging.
To address these challenges, Data as a Service (DaaS) has emerged as a solution to power all these applications. Business stakeholders use a single source for accessing real-time data and analytics in a consistent and decoupled semantic way.
DaaS provides a standard integration layer that allows businesses to access quality, secure, on-demand, and real-time data streams without the constraints of traditional, siloed data stores. The goal is to enable businesses to focus more on data-driven actions and monetise data through different business opportunities and applications. Practitioners face the challenge of defining a robust solution to power all these applications. By enabling access to any data within or outside the organisation, allowing the right access to the right data with security and governance, and providing real-time access to data via APIs, DaaS enables businesses to democratise data, enable ecosystem access, and obtain better insights, and analytics.
Managing and maintaining Big Data can be complex and costly for businesses that traditionally store and manage their data in-house. Data as a Service (DaaS) offers a solution by allowing customers to build a data access layer on top of data sources and warehouses to readily access business-critical data, images, and videos through various provisioning mechanisms in a timely, safe, and cost-effective manner.
DaaS is powered by a data access layer that connects customers to their database and provides data for business applications in a format that suits them. The data interfaces enabled by DaaS allow business and consuming applications to communicate with data sources without knowing how they are implemented.
The data access layer allows applications to receive and share data on demand from any device and any time. The common integration layer aggregates data across a wide range of topics and sources, delivering relevant curated content that provides consuming applications with the right data and insights needed to drive business growth.
To make the most of DaaS, it is essential to consider provisioning data across multiple channels, enabling self-service consumption through real-time and batch interfaces, decoupling consumers from producers, enabling data streaming to power analytics, provisioning of unstructured data, and maintaining a flexible and maintainable architecture. Businesses can leverage DaaS to improve their data management capabilities and support their growth.
