Real-Time Data Access Across Highly Distributed Environments
The goal is straightforward, but getting there has proven to be a challenge: how to offer real- or near real-time access to data that is continually refreshed on an as-needed basis across a number of different distributed environments. Consequently, as different systems of data and their locations can proliferate across different network environments — including multiclouds and on-premises and, in many cases, geographic zones — organizations can struggle to maintain low-latency connections to the data their applications require. The challenges are especially manifest when users require and increasingly demand that their experiences, which are often transactional-based, are met in near- or real-time that require data-intensive backend support. Many organizations continue to struggle with the challenges of maintaining and relying on data streaming and other ways, such as through so-called “speed layers” with cached memory, to maintain low-latency connections between multicloud and on-premises environments. In this article, we describe the different components necessary to maintain asynchronously updated data sources consisting of different systems of record for which real-time access is essential for the end-user experience. For the CIO, the challenges consist of the ability for applications to have low-latency access to data, often dispersed across a number of often highly distributed Continue reading
