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3 Azure Cloud Technologies for Modernizing Legacy Applications

Datavail

Below, we’ll discuss three different Microsoft Azure cloud technologies—Microsoft Flow, Microsoft Power Apps, and Azure Functions—and how you can use them to enact digital transformation within your own organization. Azure Functions. Azure Functions is Microsoft Azure’s serverless computing solution.

Azure 92
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How to prepare for the AZ- 204 Exam: An Articulated Case Study

Cloud That

An Azure account with an active? Azure Subscription? or Azure Pass. Getting Started with Azure Virtual Machines. Creating HTML Website using Azure App Service. Durable Functions for Serverless Computing. Management of APIs through Azure Portal. Durable Functions for Serverless Computing.

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Orchestrating Azure Functions using BPMN and Camunda — a case study

Bernd Rucker

Serverless functions are all the hype at the moment whether it be AWS Lambda or Azure Functions. I am happy that I am allowed to share a case study from NexxBiz to show you how Azure functions and BPMN work together. Business functionality is available as dedicated serverless functions.

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4 Microsoft Azure Services for Software Development and Modernization

Datavail

Below, we’ll go into more detail about the Microsoft Azure cloud, including some of the most important Azure features and services for developing and modernizing applications. Azure Machine Learning. Azure Machine Learning simplifies the process of building, training, and deploying production-ready machine learning models.

Azure 52
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Serverless Security: Building Robust and Resilient Applications in a Cloud-Native Environment

Altexsoft

Serverless security has become a significant player in the B2B tech landscape. billion in 2021, the serverless security market is projected to surge to USD 5.1 Furthermore, as per recent data , 21% of enterprises have already integrated serverless technology and an additional 39% are exploring its potential. Let’s get started.

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Nearshore Cloud Computing and Security: Azure Migration

iTexico

Through the next case study we want to showcase the importance of trusting an experienced cloud development team to guarantee data security and ensure you’re getting the most out of your cloud investments by identifying areas where savings can be made and utilizing the correct tools for your specific needs. What We Did.

Azure 10
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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited “company culture” and “difficulties in identifying appropriate business use cases” among the leading reasons. Forecasting Financial Time Series with Deep Learning on Azure”.

Big Data 108