Azure Fundamentals Platform solutions

IoT

IoT Services in Azure

Platform service
Provides the building blocks for:
- Connecting devices to the cloud
- Managing devices
- Ingesting data
Bi-directional communication
Automatic provisioning of device objects
Has SDKs and APIs
Has Simulated devices for development (so you don’t have to have a huge investment in hardware to get started with prototyping and testing)
Support multiple Authentication capabilities
- X.509 certificates
- Shared Access Signatures

Azure IoT Hub

Application platform
- Micro-controller unit
- Linux-based operating system
- Cloud-based security service
Foundation for IoT devices
Component to IoT solutions
Devices also use Azure Sphere service
- Verify security of operating system on start-up
- Microsoft pushes OS updates and security patches

See: /explain/big-data
Ingesting data
- Azure Data Factory
- Event Hubs
- IoT Hubs
- SSIS
- Azure Synapse
- Kafka (HDInsight)
Persisting data
- Data warehouse (Azure Synapse)
- Distributed file systems (Hadoop)
- Persist Azure Blob Storage
Processing data: Azure Stream Analytics
Visualizing data: Power BI, Jupyter notebooks

Azure Synapse Analytics
- Latest and greatest from Microsoft
- Built from ground up
Azure Databricks
- Company outside Microsoft
- Azure has hosted Databricks platform
- Based on Apache Spark platform
- Fully-managed Spark Clusters
- Workspace for visualizing data
- Serverless option
- Notebooks
- Interactive dashboards
- Integration with other Azure services
Azure HDInsight
- Open-source analytics tools
- Apache Hadoop
- Clusters of compute nodes
- On-demand scalability and autoscale
- Integration with Azure services for building Azure pipelines

Azure Synapse

Azure Synapse Analytics

Machine Learning Workspace
- Create workspace: https://portal.azure.com/#create/Microsoft.MachineLearningServices
- Workspace is a resource in Azure
Machine Learning Studio
- Notebooks (Jupyter)
- Automated ML
- Designer

(Cognitive services are exposed by REST end points)

Computer Vision

Process and catalog images
Generate captions for images
Optical character recognition
- Typewriter text
- Handwritten text
- Many languages
Video indexer
Face API (face recognition)
Form Recognizer

Speech API

Speech-to-text
Text-to-speech
Speaker recognition
- Identify speaker by voice
- Train model by providing samples

Language APIs

Decision APIs

Content Moderator (flags potentially offensive/undesirable content in text, image, video etc.)
Personalizer (i.e. product suggessions)
Anomaly API (anomaly detection)

Web Search Service

Azure DevTest Labs enables developers on teams to efficiently self-manage virtual machines (VMs) and PaaS resources without waiting for approvals
Base images for virtual machines
Images pre-configured with tools
Existing VMs in a pool
Constraints on resources that can be created by a developer
- Size of VM
- Number of VMs
Auto-start and auto-stop of VMs

Use Cases for DevTest Labs