Presenter: Anton Baranov, Microsoft Azure expert, with expertise from Skype, Microsoft, RangeForce.
In this webinar we will cover components used to build IoT and data analytics: IoT Hub, Azure Stream Analytics, Azure Data Lake Storage, Azure Data Lake Analytics and Azure Functions.
All components are supported by live demo.
IoT Hub - a managed service, hosted in the cloud, that acts as a central message hub for bi-directional communication between your IoT application and the devices it manages. You can use
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.
Azure Data Lake Storage - Eliminate data silos with a single storage platform. Optimize costs with tiered storage and policy management. Authenticate data using Azure Active Directory (Azure AD) and role-based access control (RBAC). And help protect data with security features like encryption at rest and advanced threat protection.
Azure Data Lake Analytics - an on-demand analytics job service that simplifies big data. Instead of deploying, configuring, and tuning hardware, you write queries to transform your data and extract valuable insights. The analytics service can handle jobs of any scale instantly by setting the dial for how much power you need. You only pay for your job when it is running, making it cost-effective.
Azure Functions - a serverless solution that allows you to write less code, maintain less infrastructure, and save on costs. Instead of worrying about deploying and maintaining servers, the cloud infrastructure provides all the up-to-date resources needed to keep your applications running. You focus on the pieces of code that matter most to you, and Azure Functions handles the rest.