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Home / IT News / Why Azure Works Well for Big Data

Why Azure Works Well for Big Data

02/20/20
Categories:
  • Azure Cloud
  • Azure IoT Edge
  • Azure Resource Manager
  • Big Data
  • Cloud Computing
  • Hybrid Cloud
  • Industry 4.0
  • IT Consultant
  • Manufacturing
  • Microsoft Azure
  • Microsoft Gold Partner
  • technology services provider

Microsoft Azure has transformed cloud computing into something we never imagined possible years ago. As the digital transformation continues, we continue to see Microsoft adjusting and creating new features and functionality to ensure they are one step ahead. Industry 4.0 has brought the importance of data to the forefront and Azure was prepared. Microsoft Azure works well for big data.

Azure’s cloud computing services includes built-in backup and security features. Its focus on hybrid cloud networks simplifies the migration process, by enabling simple on-premise-to-cloud migration strategies that allow organizations to keep some of their resources on on-premise while moving the rest to the cloud. By using Azure, you can track big data in multiple repositories and network locations.

Azure is also useful for setting up a big data solution for IoT devices. There are 2 modules available, Azure Resource Manager and Azure IoT Edge, that allow you to configure and manage your big data solution. With the built-in backup in Azure, you’ll have a variety of features to ensure your big data is safely stored and secured. The on-demand pricing mode of Azure services is sophisticated, providing users with payment optimization capabilities that promote growth at scale.

2W Tech is a technology services provider and Epicor consulting firm specializing in solutions for the manufacturing industry. We are a Microsoft Gold Partner and have IT Consultants on staff that specialize in Azure cloud solutions. Give us a call today to learn more about the benefits Azure cloud can bring to your business.

Read More:

Being Innovative with IIoT Technologies

Improving Your Microsoft Azure Cloud Deployment

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