IoT Business Disruption leading to Artifical Intelligence - IoT Evolution 2016
Webinar: Evolution of Data Management for the IoT
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Transcript of Webinar: Evolution of Data Management for the IoT
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Evolution of Data Management for the Internet of Things
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Today’s Speakers
Shayne HodgeData Scientist SnapLogic
Joseph A. di Paolantonio
IoT Industry ExpertDataArchon.com
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Anythingapps | APIs | things | data
SnapLogic: Unified Platform for Data and Application Integration
Anytime batch | streaming | real-time
Anywhereon premises | cloud | hybrid
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SnapLogic Architecture: Components
Self-Service User InterfaceCloud-Based Designer, Manager,
Dashboard
SnaplexExecution Grid; Elastic Scale-Out;
Respects Data Gravity
Snaps400+ Pre-Built
Connectors
Cloudplex
Groundplex
Hadooplex
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SnapLogic and the IoT
• Rapidly integrate data from connected devices and other sources without coding
• Streaming or near real-time• Make the physical world digital
Integrate device or sensor data with systems such as:
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Connect to IoT Faster: MQTT Snaps
Pre-built, intelligent connectors for the MQTT protocol• Ingest real-time device messages in real time• Validate, transform, and route messages• Integrate message data with application or API data• Persist messages on Hadoop, Redshift, Big Query and more• Provide bi-directional communication with devices• Provide seamless cross-protocol support
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Example Use Case
• We want to measure something in the real world, process it on a bunch of computer systems, and then send some signal out to the real world again
• So let’s make our sensing hardware look like a mouse-clicking user• Let’s make our output hardware look like a browser to render to• And then we can reuse all the work that’s gone into making web
applications over the last 20+ years
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Example Use Case: Pipelines
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Bringing IoT Data together for Sensor Analytics Ecosystems
The Evolution of Data Management for the Internet of Things
Joseph A. di [email protected]@JAdPhttp://press.teleinteractive.net/jadphttps://saeiot.com/media/blogs/saeiot/SAEmindmap.svg
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What’s IoT All About?
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Things You Use Everyday
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Right?
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Self Quatification
Child Health
LogisticsRetail
IndustrialVehicleHomeEMR
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Things are great, but the real value comes from DATA
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Five Cs IoT Maturity Model
❖ Connect
❖ Communicate
❖ Collaborate
❖ Contextualize
❖ Cognition
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The Value of IoT
❖ Customer Understanding and Retention
❖ Bottom Line Improvements
❖ Process Efficiencies
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Standards and More Standards
❖ IEEE❖ IEC
❖ OMG IIC
❖ AllSeen Alliance❖ OIC
❖ Thread
❖ MQTT
❖ CoAP❖ Smart Manufacturing Leadership Coalition
❖ SmartGrid Interoperability Panel
❖ Society of Automotive Engineers International❖ Personal Connected Health Alliance
❖ OASIS
❖ OpenIoT❖ Open Mobile Alliance
❖ OneM2M
❖ IoT European Research Cluster ❖ Internet Protocol Smart Objects Alliance
❖ International Telecommunications Union
❖ International Standards Organization
❖ Health Level 7 International
❖ Home Gateway Initiative
❖ European Telecommunications Standards Institute
❖ GSMA
❖ Digital Living Network Alliance
❖ Eclipse M2M Industry Working Group
❖ Eclipse IoT Group
❖ Broadband Forum
❖ Consumer Electronics Association
❖ Third Generation Partnership Project
❖ Alliance for Telecommunications Industry Solutions
❖ NOAA
❖ Open Geospatial Consortium
❖ IETF
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Metadata for IoT
❖ About a device
❖ About a sensor
❖ About an actuator
❖ About sensor-actuator feedback loops
❖ About a specific use
❖ Tracking algorithm evolution
❖ Time-series metadata
❖ Location metadata
❖ Set-points vs. readings
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Joining Location and Time-Series Data
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Data Architecture for IoT
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Mark Madsen Third Nature
❖ Building the Enterprise Data Lake
❖ https://campaigns.snaplogic.com/data-lake-webinar?referring_site=madsen
❖ https://www.snaplogic.com/resources/white-papers/how-to-build-an-enterprise-data-lake
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Thank You
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