Internet of Things with Bosch: From Concept to Code

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Internet of Things and Big Data Part III / III: From Concept to Code

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Joint Webinar Series Webinar 1: Vision & Use Cases Replay Webinar 2: Data Management Requirements for the IoT Replay Webinar 3: From Concept to Code From Concept to Code 2 Bosch SI & MongoDB Whitepaper http://www.mongodb.com/lp/whitepaper/iot-and-big-data/ Download your Free copy

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Todays Speakers Narayanan Ramanathan, VP & Business Head Integrated Engineering Solutions (APAC & MEAI) Tech Mahindra NR has been instrumental in building a GIS, Telematics & Connected engineering business across the globe Christian Thiemich, Project Methodology & Architecture Bosch Software Innovations GmbH Expert for Project Methodology and Solution Architecture focusing on development of the agile extensions to the Bosch IoT Methodology Arthur Viegers, Solutions Architect MongoDB Inc. Arthur is a Senior Solutions Architect with MongoDB based in the Netherlands. He specializes in IoT/M2M applications on MongoDB. From Concept to Code 3

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations IoT Predictions (by 2020-22) 7,1tn IoT Solutions Revenue | IDC Some Big Numbers: 1,9tn IoT Economic Value Add | Gartner 309bn IoT Supplier Revenue | Gartner 50bn Connected Devices | Cisco 14bn Connected Devices | Bosch SI Some small numbers: http://postscapes.com/internet-of-things-market-size Peter Middleton, Gartner: By 2020, component costs will have come down to the point that connectivity will become a standard feature, even for processors costing less than $1 From Concept to Code 4

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Data Big data Changing data models Real-time processing Aggregation Databases will need to address new requirements Scalability Flexibility Analytics Unified View Source: Machina Research 2014 From Concept to Code D 5

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Capabilities Solutions Key Capabilities of Bosch SI Suite & MongoDB Bosch SI IoT Suite M2M | BPM | BRM | Big Data A D C B Scale Flexibility Analytics Unified View From Concept to Code 6

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Indoor Asset Tracking 7 TechMahindra Track & Trace

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations End Users Nutrunner using companies Use the T&T solution as a service Subscription fees Partners Hardware Partners (e.g. Cisco) Option: TSP/CSP in case of GSM Manufactures (e.g. Rexroth) Use dashboards, reports based on subscription fees Device Data, Indoor positions, Events Enterprise Smart Indoor Asset Tracking System Executive Dashboards Things Nutrunner Smart ID Cards Buy Data Records IoT Solution Areas TechMahindra Track & Trace 8

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Live Demo TechMahindra Track & Trace 9

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Bosch Software Innovations Suite Manufacturer OperatorCustomer Identity Management HTML5/Javascript (Bootstrap/AngularJS) BPM - Cisco Position - Mail notification M2M - Nutrunner drivers - Smartcards BRM -Event evaluation Third Party Systems Payment Cisco MSE Data Bases Mongo Mongo Bosch SI PaaS TechM/AWS ERP NEXO Nutrunner Smart Id Card TechMahindra Track & Trace Architecture Blueprint 10

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Asset Details Page TechMahindra Track & Trace 11

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Schema evolution Starting Point High level version of a domain model First Draft Architectural design for the schema Performance Optimization Modeling time series Why & How? Scaleability by design Concepts of shard keys Schema validation with MongoDB experts Schema validation with MongoDB experts TechMahindra Track & Trace 12

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Schema evolution Starting Point High level version of a domain model First Draft Architectural design for the schema Performance Optimization Modeling time series Why & How? Scaleability by design Concepts of shard keys TechMahindra Track & Trace 13

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Data Model First version TechMahindra Track & Trace 14

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Data Model Considered the amount of records TechMahindra Track & Trace Many records 16

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations First Draft MongoDB Schema 17 TechMahindra Track & Trace { assetId: "NEXO 109", status: "Online", type: "Nutrunner", serialNo : "100-210-ABC", ip: "127.0.0.1", position: [ { x: "10", y: "40", ts: ISODate("2014-07-03T16:03:05.000Z"), zone: "itc-1", accuracy: "20" }, { x: "20", y: "30", ts: ISODate("2014-07-03T16:03:06.000Z"), zone: "itc-1", accuracy: "24" }, { x: "5", y: "25", ts: ISODate("2014-07-03T16:03:07.000Z"), zone: "itc-1", accuracy: "22" } ] }

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Time series schema design goal Store event data Support Analytical Queries Find best compromise of: - Memory utilization - Write performance - Read/Analytical Query Performance Accomplish with realistic amount of hardware Performance Optimization 19

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Time series schema design considerations Document per event Document per minute (average) Document per minute (second) Document per hour Performance Optimization 20

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations { deviceId: "Test123", timestamp: ISODate("2014-07-03T22:07:38.000Z"), temperature: 21 } Document per event Relational-centric approach Insert-driven workload Performance Optimization 21

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Document per minute (average) Pre-aggregate to compute average per minute more easily Update-driven workload Resolution at the minute level { deviceId: "Test123", timestamp: ISODate("2014-07-03T22:07:00.000Z"), temperature_num: 18, temperature_sum: 357 } Performance Optimization 22

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Document per minute (by second) Store per-second data at the minute level Update-driven workload Pre-allocate structure to avoid document moves { deviceId: "Test123", timestamp: ISODate("2014-07-03T22:07:00.000Z"), temperature: { 0: 18, 1: 18, , 58: 21, 59: 21 } } Performance Optimization 23

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Document per hour (by second) Store per-second data at the hourly level Update-driven workload Pre-allocate structure to avoid document moves Updating last second requires 3599 steps { deviceId: "Test123", timestamp: ISODate("2014-07-03T22:00:00.000Z"), temperature: { 0: 18, 1: 18, , 3598: 20, 3599: 20 } } Performance Optimization 24

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Document per hour (by second) Store per-second data at the hourly level with nesting Update-driven workload Pre-allocate structure to avoid document moves Updating last second requires 59 + 59 steps { deviceId: "Test123", timestamp: ISODate("2014-07-07T21:00:00.000Z"), temperature: { 0: { 0: 18, , 59: 18 }, , 59: { 0: 21, , 59: 20 } } } Performance Optimization 25

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations { assetId: "NEXO 109", status: "Online", type: "Nutrunner", serialNo : "100-210-ABC", ip: "127.0.0.1", position: [ { x: "10", y: "40", ts: ISODate("2014-07-03T16:03:05.000Z"),zone: "itc-1", accuracy: "20" }, { x: "20", y: "30", ts: ISODate("2014-07-03T16:03:06.000Z"),zone: "itc-1", accuracy: "24" }, { x: "5", y: "25", ts: ISODate("2014-07-03T16:03:07.000Z) zone: "itc-1", accuracy: "22" } ] } Performance Optimization TechMahindra Track & Trace 26 { assetId: "NEXO 109", hour: ISODate("2014-07-03T22:00:00.000Z"), status: "Online", type: "Nutrunner", serialNo : "100-210-ABC", ip: "127.0.0.1", position: { 0: { 0: { x: "10", y:"40", zone: "itc-1", accuracy: "20 }, , 59: { x: "15", y: "30", zone: "itc-1", accuracy: "25 } }, , 59: { 0: { x: "22", y: "27", zone: "itc-1", accuracy: "22 }, , 59: { x: "18", y: "23", zone: "itc-1", accuracy: "24 } } } } Optimized Timeline modeling

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Schema evolution Starting Point High level version of a domain model Colored Version Architectural design for the schema Performance Optimization Why & How? Updated Schema Scaleability by design Concepts of shard keys Updated Schema TechMahindra Track & Trace 27

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Why? How? Shard Keys 28

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Considerations Cardinality Write distribution Query isolation Reliability Index locality Shard Keys 29

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Choosing a shard key for positions collection Cardinality Write Distribution Query Isolation Reliability Index Locality _id Doc level One shard Scatter/gather All users affected Good hash(_id) Hash level All Shards Scatter/gather All users affected Poor assetId Many docs All Shards Targeted Some assets affected Good assetId, hour Doc level All Shards Targeted Some assets affected Good TechMahindra Track & Trace 30

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Final/Current data schema TechMahindra Track & Trace { assetId: "NEXO 109", hour: ISODate("2014-07-03T22:00:00.000Z"), status: "Online", type: "Nutrunner", serialNo : "100-210-ABC", ip: "127.0.0.1", position: { 0: { 0: { x: "10", y: "40", zone: "itc-1", accuracy: "20 }, , 59: { x: "15", y: "30", zone: "itc-1", accuracy: "25 } }, , 59: { 0: { x: "22", y: "27", zone: "itc-1", accuracy: "22 }, , 59: { x: "18", y: "23", zone: "itc-1", accuracy: "24 } } } } 31 db.position.update( { assetId: "NEXO 109", hour: ISODate("2014-07-03T22:00:00.000Z") }, { $set: { position.59.59: { x: "18", y: "23", zone: "itc-1", accuracy: "24 } } } )

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations What about your IoT and Big Data ideas? Bosch SI IoT Project Validation Service [email protected] IoT Hackathon, July 23rd, Munich: http://www.mongodb.com/events/munich-hackathon-internet-things Get in touch with our experts From Concept to Code Summary

TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights. TechMahindra, MongoDB and Bosch Software Innovations Any questions? 33

Internet of Things with Bosch: From Concept to Code

Technology

bosch software

driven workload

industrial

draft architectural

rights reserved

design concepts

allocate structure

shards targeted