1 Take the Assessment. Data management is critical for the success of expanding BI and analytics programs. That’s why TDWI created the Data Management Maturity Model and Assessment—to help ...

Data architecture management is crucial for aligning information systems with business objectives. However, existing frameworks often lack comprehensive assessment tools. This study proposes an ...

Data architecture describes the structure of an organization’s logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF).

A poor data architecture can leave your application—and your company—in bad shape. Building a proper data architecture is critical to the long-term success of all modern architectures.

Data architecture is the models, standards and rules that govern how organizations collect, store, transform, distribute and use data. Even today, IT largely controls the flow of data at many ...

The modern data architecture is a pre-integrated, end-to-end solution, delivered in the cloud, with nothing to install. This yields deployment times as much as 40% lower than legacy approaches. But ...

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework, which describes the processes used to plan, specify, ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

In the process of asset status assessment, the power transmission intelligent Internet of Things (IoT) with smart towers as the core IoT nodes faces many problems such as large workload of physical ...