Data flow architectures have an intuitive appeal as a starting point for L2-L4 applications, because unlike RISC architectures, they are very efficient at moving data and the amount of parallelism ...

Network control and management components communicate with one another through flows — information generated and collected in data's passage through the routers, switches, and other network ...

There are a lot of options when developing a data flow and data architecture for your data warehouse. These are just a few examples of ways you can design the architecture to support incremental ...

What exactly is a data architecture? As the Zachman Framework exposed long ago, different people look for different kinds of details and documentation to answer fundamental questions about an ...

Lambda Architecture proposes a simpler, elegant paradigm designed to process large amounts of data. In this article, author discusses Lambda Architecture with the help of a sample Java application.

Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

Networking teams need a say in architecting cloud-based applications from the outset to assure it’s even possible for the network and cloud services to adequately support the apps.

Once the domain of national space agencies and research, satellite data, orbital imagery, and Earth intelligence is now ...

A data lakehouse addresses these typical limitations of a data lake, as well as data warehouse architecture, by combining the best elements of data warehouses and data lakes to deliver significant ...