Architecture Definition Scalability Systems Review 
CIO
MARCH 24, 2023
Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.
CIO
FEBRUARY 14, 2024
Data due diligence Generative AI especially has particular implications for data security, Mann says. Feed in your entire Slack or Teams history and you may end up with responses like, “I’ll work on that tomorrow,” which would be perfectly appropriate from human employees but aren’t what you expect from a gen AI system.
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CIO
AUGUST 25, 2022
Therefore, it’s up to CIOs to do due diligence about what sort of security controls are in place and to ensure data is well protected in an [as-a-service] operating model. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”.
Apiumhub
JUNE 17, 2020
Evolutionary architecture is something every software architect thinks about. To support this evolution, fitness functions can help in finding how well a system meets specified architecture goals and constraints in an automated way. And today’s post is about architectural fitness functions. . Atomic vs Holistic .
CIO
MARCH 8, 2023
Therefore, it’s up to CIOs to do due diligence about what sort of security controls are in place and to ensure data is well protected in an [as-a-service] operating model. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”
Dzone - DevOps
APRIL 27, 2023
Microservices architecture has become increasingly popular in recent years due to its ability to enable flexibility, scalability, and rapid deployment of applications. However, designing and implementing microservices can be complex, and it requires careful planning and architecture to ensure the success of the system.
Xebia
JANUARY 19, 2023
The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The data engineer is also expected to create agile data architectures that evolve as new trends emerge. The audience is very broad when described that way.
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