2024-05-17 13:24:46

Azure Stream Analytics

Serverless real-time analytics, from the cloud to the edge


  • Company Name : Microsoft Azure



  • About Solution :

    Azure Stream Analytics

     

    Serverless real-time analytics, from the cloud to the edge

     

    Deliver powerful insights from your streaming data with ease, in real time

     

    Discover Azure Stream Analytics, the easy-to-use, real-time analytics service that is designed for mission-critical workloads. Build an end-to-end serverless streaming pipeline with just a few clicks. Go from zero to production in minutes using SQL—easily extensible with custom code and built-in machine learning capabilities for more advanced scenarios. Run your most demanding workloads with the confidence of a financially backed SLA.

     

    Build streaming pipelines in minutes

    Run complex analytics with no need to learn new processing frameworks or provision virtual machines (VMs) or clusters. Use familiar SQL language that is extensible with JavaScript and C# custom code for more advanced use cases. Easily enable scenarios like low-latency dashboarding, streaming ETL, and real-time alerting with one-click integration across sources and sinks.

     

    Run mission-critical workloads with subsecond latencies

    Get guaranteed, “exactly once” event processing with 99.9% availability and built-in recovery capabilities. Easily set up a continuous integration and continuous delivery (CI-CD) pipeline and achieve subsecond latencies on your most demanding workloads.

     

    Deploy in the cloud and on the edge

    Bring real-time insights and analytics capabilities closer to where your data originates. Enable new scenarios with true hybrid architectures for stream processing and run the same query in the cloud or on the edge.

     

    Power real-time analytics with artificial intelligence

    Take advantage of built-in machine learning (ML) models to shorten time to insights. Use ML-based capabilities to perform anomaly detection directly in your streaming jobs with Azure Stream Analytics.

     

     

  1. Feature 1 : End-to-end analytics pipeline that is production-ready in minutes with familiar SQL syntax and extensible with JavaScript and C# custom code
  2. Feature 2 : Rapid scalability with elastic capacity to build robust streaming data pipelines and analyze millions of events at subsecond latencies
  3. Feature 3 : Hybrid architectures for stream processing with the ability to run the same queries in the cloud and on the edge
  1. USP 1 : Enterprise-grade reliability with built-in recovery and built-in machine learning capabilities for advanced scenarios
  1. Price 1 : 0.11/hour
  1. Feedback 1 : "Azure Analytics for Enterprise in Cloud"
  2. Feedback 2 : "Great for querying in real time"
  3. Feedback 3 : "System Works "
  1. Story 1 : Over the coming decade, we plan to drill thousands of new wells and build dozens of new facilities. It’s challenging to keep up with that pace, but with Azure, we have the digital technology to help support our growth in a manageable and sustainable way. Staale Gjervik: President XTO Energy
  2. Story 2 : By moving to Azure and consolidating data into a single source of truth using Azure SQL Data Warehouse, we’ve got visibility across our global business. This has helped us drive operational changes and efficiencies. Jay Emery: Senior Director of Global IT Enterprise Architecture Anheuser-Busch InBev
  3. Story 3 : Getting into smart products has forced us to move faster, and we couldn’t move this fast without Azure. Fei Shen: Associate Director of IoT Engineering Kohler

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