KiZAN IoT Workshop - Memphis

1. + Cincinnati + Louisville + Nashville + Columbus + Detroit + Indianapolis David Buckingham – Practice Lead, Custom App Development Mike Branstein – Director, Application Development Internet of Things (IoT) Workshop

2. 2 Welcome

3. 3 • You rarely get the chance to practice for practice’s sake • IoT and cloud architecture/development patterns can be confusing and are frankly “new” to many of us • It’s not what’s going to change, it’s when – and the answer is likely yesterday • Today • The Internet of Things (IoT) • Cloud architecture • See an end-to-end solution • Hands-on practice • Get excited or inspired Practice Makes Perfect

4. 4 IoT: The Internet of Toasters Things

5. Source: Oxford Ditionary 5 Internet of things noun A proposed development of the Internet in which everyday objects have network connectivity, allowing them to send and receive data. What is the Internet of Things?

6. Source: Cisco & Internet World Stats, sourced and created by Nick Landry 10 How Big?

7. Source: Cisco, sourced and stats created by Nick Landry 11 You Want What? More?

8. Source: Nick Landry 12 The Enablers

9. 13 The cool stuff.

10. 14 Common IoT Devices & Platforms

11. Source: Nick Landry 19 • Full single-board computer with SoC • Average cost: $30 to $45 • Model A, A+, B, B+ and Raspberry Pi 2 B, 3, Zero • Runs Linux – flavor of Debian called Raspbian • http://www.raspbian.org • Huge accessory selection • Programmable • Python • (Mono), etc. • 5+ million units sold in 3 years of manufacture, technically the largest computer manufacturer in UK! Raspberry Pi

12. • Prototype-to-production platform • Wifi or Cellular enabled, low-voltage • Remote management capabilities • Cloud-based development environment • $19 • Scale by starting with 1, move to a PCB integrated platform, and custom hardware when you get to the 10,000’s • http://particle.io Particle Photon

13. Source: Nick Landry 21 • Windows 10 is on Raspberry Pi 2 and 3! • http://windowsondevices.com New Windows == More Fun!

14. 22 Demo: Windows 10 IoT Core

15. 23 The RPi can be powered either by the USB cable from the host PC or by an external DC power source (5V). The RPi also has 5V, 3.3V and GND pins to supply voltages to your project components. Raspberry Pi 2 Introduction Source: Nick Landry

16. 24 • General Purpose Input/Output • Pin that can be controlled by the user • Can be set to input or output • Input can be things like temperature sensors, buttons, IR etc • Output can be LEDs, Motors, LCDs etc GPIO Source: Nick Landry

17. 25 • 40 pins total • Pi Wedge organizes pins • 17 GPIO • 6x power • 5x SPI (Serial Peripheral Interface) serial comm. • 2x UART, Tx (out) / Rx (in) serial comm. • 4x I2C (comm. Protocol, master/slave) Pi Wedge Pin Out

18. 29 Breadboards offer a great way to prototype circuits. The provide a number of “buses” for connecting both power and components Power buses run the entire horizontal length Component buses (vertical) give you easy ways to connect pins together Breadboards Source: Nick Landry

19. 31 Lab 0 Introduction to your Lab Kit

20. 32 Lab 1 Hello World

21. 33 Lab 2 Momentary LED with Push Button

22. 34 Lab 3 Temperature Sensor

23. 35 • Analog Temp. Sensor • Analog to Digital Convertor (RPi 2 only reads digital signals, so we need a convertor from Analog to Digital) • Capacitor (to reduce line noise) Temperature Sensor Components

24. 36 • Red are Power and GRD • Analog/Digital Convertor (1 set for the analog component, another for the digital component) • Temperature Sensor Powering the Circuit

25. Customer & KiZAN confidential 37 • Serial Communications happen over 4 lines • Yellow • White • Blue • Green • Yellow connects Temp sensor to the Convertor Communicating with the RPi

26. 39 IoT Hub Placeholder and Azure IoT Hub Walkthrough

28. 42 Cloud Overview: IaaS, PaaS, SaaS Source: Nick Landry, Microsoft

29. 43 • PaaS is where you “should” want to be • Use the service, don’t do the plumbing • We’ve been doing the plumbing for a long time • Challenges • Mapping exercise • Architect the PaaS way or the highway Moving to PaaS

30. 44 Reference Cloud IoT Architecture Source: Nick Landry, Microsoft

31. IoT Hub {“device”:”kizan-pi-01”, “tempC”:”25.5”, “tempF”:”77.9”} The Lab Cloud IoT Architecture Stream Analytics Service Bus Topic Subscribe to Average Temp Topic Power BI {“avgTempC”:”24.3”, “avgTempF”:”75.7”} SQL Azure Raw data ETL temp avgs Service Bus ETL temp avgs

33. 47 The Maker Movement What’s fueling the fire?

34. 48 Makers are Everywhere

35. 49 “You’re a Great Builder and Maker”

36. 50

37. 52

38. 53 Crowdsourced Funding

39. 54 Since 2009! $2.39B pledged 105,959 successfully funded projects 10.9M total backers 29.3M pledges3.4M repeat backers Source: Kickstarter, May 2016

40. IoT Hub {“device”:”kizan-pi-01”, “tempC”:”25.5”, “tempF”:”77.9”} The Lab Cloud IoT Architecture Stream Analytics Service Bus Topic Subscribe to Average Temp Topic Power BI {“avgTempC”:”24.3”, “avgTempF”:”75.7”} SQL Azure Raw data ETL temp avgs Service Bus ETL temp avgs

41. 57 Stream Analytics

42. Standard Data Analysis 58 • Your data already exists – it’s all from the past or projections of the future • You can aggregate everything • Not real-time • Batch processing • Reactionary in nature Data Analysis

43. Streaming Data Analysis 59 • Data arrives temporally • You can’t aggregate data all at once • Real-time • Data is grouped into different windows Data Analysis • What is a data window? • What’s your data window? • Concept: arriving data as an “event”

44. Tumbling Window Hopping Window Source: MSDN and MSDN 60 • Tumbling Windows that overlap • Timeunit (minutes, seconds, etc.) • Windowsize (duration) • Hopsize (skip duration) • Series of fixed-size, non- overlapping and contiguous time windows Temporal Windowing

45. Source: Microsoft 61 • Real-time stream processing in the cloud • Real-time cloud-based ETL • Millions of events per second • Scale dynamically What is Azure Stream Analytics?

46. 62 • Create Stream Analytics Job • Configure 1 or more Inputs and Outputs • Create Queries to ETL from Inputs to Outputs • Use SQL-like language Making Cloud ETL Easy

47. 63 Demo Looking at a Stream Analytics Job

48. Any data, any way, anywhere

49. 146.03K145.84K145.96K146.06K 40.08K38.84K39.99K40.33K

50. Live Query & Scheduled Data Refresh

51. Power BI overview

52. Customer & KiZAN confidential 72 Build a Dashboard