iot data analytics
TRANSCRIPT
IOT DATA ANALYTICSBy Unmesh Ballal
THE INTERNET OF THINGS
The Basic Concepts• Interaction with the Internet• Major components if IoT devices
• Sensors• Connectivity • People and processes
Sensors• Machine Vision• Object Acceleration/tilt• Electric, Magnetic• Leaks, Levels• Force, Load, Torque, stream, pressure• Flow• Chemical, Gas• Acoustic sound, Vibration• Humidity, Moisture• Temperature• Motion, Velocity, Displacement• Position, presence, Proximity
CONNECTIVITY TECHNOLOGIES AND PROTOCOLS
• Bluetooth• NFC • RFID• Power line Ethernet• printed• ZigBee
GOOGLE – ARCHITECTURE FOR REAL TIME STREAMING
COMPARISON BETWEEN POPULAR PLATFORMS AND TECHNOLOGY SERVICES
Bosch IOT platform
• Fast application development thanks to integrated IoT middleware that covers rules, process and device management, orchestration, and operation
• State-of-the-art security technology that can be used directly in application development
• Availability of a trusted and secure IoT cloud• Consistent and systematic access to Bosch devices and
third-party devices based on open standards using information models derived from business logic
• Open platform due to the incorporation of numerous open-source software products and consistent standards support
• Flexible and adaptable pricing model (depending on the number of connected devices, users, transactions) that also allows for partner business models with revenue sharing
Cisco IOT platform
• Network as a platform - Cisco 5915 Embedded Service Router
• Unified security operations• Access Control• Video Surveillance• Incident management• Connected Streaming Analytics
COMPARISON BETWEEN POPULAR PLATFORMS AND TECHNOLOGY SERVICES
AWS IOT platform services
• 30 different instance types optimized for RAM, I/O, storage, compute, and graphics chips.
• Protect data in transit, and at rest. Identity and Access Management (IAM) , Secure Token Service (STS)
• Pay as you go• Log and Event Data Collection• Application and Service Alerts• Real-time Analytics• Mobile Data Capture• Social Data Firehose • Build apps not infrastructure
Azure IOT
• Event Hubs and Service Bus• Log millions of events per second in near real time• Connect devices using flexible authorization and throttling• Managed service with elastic scale• Respond to events for application performance counters and
devices that generate events• Stream Analytics
• Real time fraud detection• Azure Stream Analytics Query Language for reports and charts
• Machine Learning• Setting up with only a web browser to using drag-and-drop
gestures • Simple data-flow graphs to set up experiments. • Availability of best-in-class algorithms from Microsoft businesses
like Xbox and Bing. • Machine Learning supports R and Python custom code
• Notification Hubs
STREAM ANALYTICS
• We can use AZURE stream analytics• http://azure.microsoft.com/en-us/services/stream-analytics/
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AZURE STREAM ANALYTICS – HOW IT WORKS
AZURE IOT- SERVICES OVERVIEW
BOSCH IOT SUITE COMPRISES A LARGE NUMBER OF INTEGRATED SERVICES
• Device Management• Business Logic• Process and Integration Logic• Data Mining and Analytics• Identity Management• User Interface Integrator
CONCLUSION - IOT PLATFORM SELECTION DEPENDENCIES
• Manufacture of device and its features available• Services Providers need to consider the following:
• Involving physical parameters and interface for data collection• Protocol Stack and what data, API is made available at device level• Maintenance and repair, transportation and logistics services • Industry considerations such as for real estate and facilities management,
hospitality and waste collection.• What are analytics requirements such as real-time streaming data, geo-
spatial data, volumes. Specifics for analytics algorithms, queries, dashboards and calculations
• IoT infrastructure - servers, data centers, communications, security and admin.