With a data flow architecture, I/O can be transparently offloaded to I/O processors inserted into the processing pipeline. These processors behave as a seamless extension to the processing pipeline.

Organizations that treat data integration as a strategic business imperative, not just a technical challenge, will be the ...

Durability of streaming messages may seem like a surprising requirement, but it is the key to flow versus state. The stream serves as an immutable log of sequenced event data that can be referenced by ...

The Importance of Data Architecture With robust data architecture in place, everyone in your organization gets access to relevant data, based on which they can make informed decisions. Data ...

The heart of the genome structure is that it makes the case as a living model. A blueprint falls short because it’s a rigid, ...

Data experts recommend an iterative approach, or looking at data architecture on a project or business case basis. Otherwise, the work risks becoming unmanageable and failing to deliver business ...

In his contribution, Gary Lidington, vice president of marketing at Xelerated, Inc., (Burlington, Mass.) discusses how the time has come to shift to a more purely data flow architecture, because ...

Data architecture, however, spans the organization and takes a high-level, holistic view, whereas data modeling focuses on specific systems or business cases. In any case, the architecture or ...

Individual data zones in the lake can be organized by creating internal subzones. For instance, a landing zone can have two or more subzones depending on the data source (batch/streaming).

In May 2022, this roadmap was built upon with a new G7 Action Plan for Promoting Data Free Flow with Trust, which reaffirmed these four areas of cooperation while adding focus to fostering future ...