The digitalization of human activities, from social interactions to industrial processes, has led to unprecedented levels of data collection. New data is constantly being produced, driven by the rise of user-generated content, the digitalization of industries and services, and the improvement of both machine to machine communication and data storage. As recognized in the Commission’s Communication “Towards a data-driven economy”, this trend “holds enormous potential in various fields, ranging from health, food security, energy efficiency to intelligent transport systems and smart cities”. Indeed, data has become an essential resource for societal improvement.
Have you ever tried to navigate complex data structures within Ansible playbooks using awkward looping constructs and convoluted map filters?
It might be easier to munge the data structure into a more appropriate format first and then use the munged data in subsequent tasks. Wondering how to do it?
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HPE lends a hand to AT&T as it works to reach its goal of virtualizing its network.