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Expand your knowledge about creating big data analytics solutions on Microsoft Azure | Learn to operationalize end-to-end cloud analytics solutions using the Azure Portal and Azure PowerShell | Work on case studies & projects to build your own cloud analytics solution | Broaden your career opportunities worldwide with up-to-date technical skills & popular Certification Badges.
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The course is exclusively designed to make you understand how to utilize Azure services to build and deploy cloud analytics solutions. Learn about analytics scenarios and how they are addressed when leveraging the Azure cloud platform. Understand the fundamentals underlying infrastructure, services, and components necessary for building and deploying the required cloud analytics solutions.
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Know the complete offerings of our Operationalize Cloud Analytics Solutions with Microsoft Azure Course
Know the complete offerings of our in Operationalize Cloud Analytics Solutions with Microsoft Azure Course
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Stream Analytics
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Azure Analysis Services is a fully managed platform as a service (PaaS) that provides enterprise-grade data models in the cloud. Use advanced mashup and modeling features to combine data from multiple data sources, define metrics, and secure your data in a single, trusted tabular semantic data model.
Azure Stream Analytics supports processing events in CSV, JSON, and Avro data formats. Both JSON and Avro may contain complex types such as nested objects (records) or arrays.
Azure Stream Analytics is a fully managed, real-time analytics service designed to help you analyze and process fast moving streams of data that can be used to get insights, build reports or trigger alerts and actions.
Azure is a cloud computing platform and an online portal that allows you to access and manage cloud services and resources provided by Microsoft. These services and resources include storing your data and transforming it, depending on your requirements.
Most cloud computing services fall into four broad categories: infrastructure as a service (IaaS), platform as a service (PaaS), serverless and software as a service (SaaS). These are sometimes called the cloud computing “stack” because they build on top of one another.
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