Data Management

Data Management

Data management
 
Data management
 
Innovative approaches to DevSecOps include mimicking the real development space to anticipate problems.

ThunderCat Technology CTO Kurt Steege and NetApp Office of Technology and Strategy Deputy CTO Michael Johnson discuss the importance for federal government agencies to consider a DevOps and DevSecOps modernization approaches. Plus, the concept of a digital twin can allow DevOps to thrive by creating test environments that are as close to the production environment as possible.

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Getting a handle on data strategies in cloud and multi-cloud environments can ensure efficient automation.

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Mobility, unified architecture and governance are among the important topics covered in this handy tool
 
Recent Articles

Innovative approaches to DevSecOps include mimicking the real development space to anticipate problems.

Using a digital twin increases development velocity while breaking down silos.

Easing data sharing across health care holds potential for all stakeholders, from day-to-day care to public health crises.

Krista Kinnard discusses the group's guidance on AI and RPA while dispelling myths about the technology.

The agency is considering human-centered design in its solutions that cut down manual labor and time.

Data management and skilling the workforce are part of a multi-pronged approach to AI.

The agency is following DIB's recommendations for the technology.

The agency is thinking through how to modernize while sustaining core functions managed under legacy systems.

Cloud innovators are enabling companies and federal agencies to fully leverage artificial intelligence and complex analytics in…

A multi-cloud environment can help government achieve greater efficiencies in data management practices.

Automation processes first need a solid foundation for the management of data.