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Analyzing IoT Data in Real Time with Microsoft Azure
Name · Title · Dunn SolutionsJanani Eshwaran· Dunn Solutions Group
Today’s Agenda
Introduction
Impact of IoT Data
Microsoft Azure And Hortonworks Data Platform
Demo –Use Case In Logistics Industry
What’s Next
Dunn Solutions is a full-service IT consulting firm
founded in 1988
Raleigh, NC
Delivery  Training
Bangalore, India
Delivery
Minneapolis
Delivery  Training
Chicago
Delivery
Practice Areas
Application
Development
• Portals
• eCommerce &
Content Managed
Websites
• Mobile App
Development
• Custom App
Development
• Search Engine
Optimization
Training
• Certified
SAP/Liferay
• Classroom, On-
site, Computer
Based & Virtual
• Mentoring &
Custom Training
Frameworks
• Accountable Care
Orgs (ACO’s)
• Corporate Legal
• Higher Education
• Optical Shop
Solutions
Analytics
• Analytics & BI
Platforms
• Data Warehouse
& Data
Integration
Predictive
Analytics
Selected Clients
PartnershipsPartnerships
Analytics Practice
Business Intelligence
Big Data
Data IntegrationBusiness Analytics
Data Warehousing
• KPI’s and Metrics
• Dashboards
• Data Exploration and
Visualization
• Ad Hoc Analysis &
Reporting
• Data Mining
• Predictive Analytics
• Prescriptive Analytics
• R, AzureML
• Hadoop, MapReduce
• AWS and Azure
• Hive, Sqoop, Spark
• NoSQL
• Data Lake
• Columnar
• In-memory
• EIM (Data Integration
and Data Quality
• Dimensional Modeling
Today’s Agenda
Introduction
Impact of IoT Data
Microsoft Azure And Hortonworks Data Platform
Demo –Use Case In Logistics Industry
What’s Next
The Internet of Things is the network of physical objects
that contain embedded technology to communicate and
sense or interact with their internal states or the external
environment. – Gartner
Internet of Things (IoT)
The Looming Opportunity: Internet of Things
How Organizations Benefit From IoT Data ?
Breakdown of IoT usage
Today’s Agenda
Introduction
Impact of IoT Data
Microsoft Azure And Hortonworks Data Platform
Demo –Use Case In Logistics Industry
What’s Next
Analytics Landscape Is Changing With IoT Data
• Data comes fast and in huge volumes
• Not all data is structured
• Organizations data centers don’t easily
scale
• RDBMS aren’t the only data stores
involved: SAP HANA, MongoDB, HDFS,..
• Analyst can’t wait for formal data on-
boarding
• Quick and easy access to enterprise
class capabilities
• Spin up resources as you need
• Maintaining infrastructure is costly,
so don’t
• Use your budget more for analysis
(not infrastructure).
• Pay for what you use
Microsoft Azure To The Rescue!
How can my
organization
handle all this?
Hortonworks Data Platform
Today’s Agenda
Introduction
Impact of IoT Data
Microsoft Azure And Hortonworks Data Platform
Demo –Use Case In Logistics Industry
What’s Next
• Logistics industry is a key player poised to
benefit from the IoT revolution
• IoT can connect different assets along a supply
chain
• IoT enables logistics providers to unlock higher
levels of operational efficiency
IoT Impacts On Logistics
• Warehousing Operations
• Fleet Transportation
• Last-mile Delivery
How Logistics Industry Is Benefited From IoT Data ?
What if I wanted to…
• Capture Data from IoT Devices in real time.
• Store the data
• Perform analysis while data is streaming
• Send notification/ alert to business and users in
real time
• Visualize the information interactively
Use Case: Setting The Stage
Our Big Data, IoT, Real time project checklist
• Real Time Streaming Application
• HDP cluster
• Large Data Store ( Hive, Hbase, HDFS)
• Power BI
What Do I Need?
Our Demonstration Architecture
Step 1 : Collect Sensor Data Using Apache Kafka
Step 2 : Collect Key Attributes using Apache Storm
Step 3 : Process And Store
Step 4 : Visualization, Alerts, Analysis
Recap
Vehicles
with
telematics
sensors
Collect
incoming
sensor
data
Filter the
Key
attributes
only
Push the
collected
data to
Hadoop
Store data
for batch
processing/
Analysis
Finally
visualize
using BI
tools/ web
applications
Today’s Agenda
Introduction
Impact of IoT Data
Microsoft Azure And Hortonworks Data Platform
Demo –Use Case In Logistics Industry
What’s Next
• Have you considered how you can use IoT?
• Are you thinking about how to take advantage of
internet enabled devices for your organization?
• Do you have IoT devices and are not benefiting
from data being generated?
• Are you looking at getting analytics from your IoT
devices?
• Contact us and we’ll help you execute!
• info@dunnsolutions.com
What’s Next
Thank you
Janani Eshwaran· Analytics Consultant · Dunn Solutions
jeshwaran@dunnsolutions.com
• Demo references:
http://hortonworks.com/tutorials/
http://www.statista.com/
Microsoft Azure Documentation
• Other analytics webinars:
• http://www.dunnsolutions.com/content/webinar-
white-paper
Acknowledgement and Reference

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MS Azure with IoT - Final Version

  • 1. Analyzing IoT Data in Real Time with Microsoft Azure Name · Title · Dunn SolutionsJanani Eshwaran· Dunn Solutions Group
  • 2. Today’s Agenda Introduction Impact of IoT Data Microsoft Azure And Hortonworks Data Platform Demo –Use Case In Logistics Industry What’s Next
  • 3. Dunn Solutions is a full-service IT consulting firm founded in 1988 Raleigh, NC Delivery  Training Bangalore, India Delivery Minneapolis Delivery  Training Chicago Delivery
  • 4. Practice Areas Application Development • Portals • eCommerce & Content Managed Websites • Mobile App Development • Custom App Development • Search Engine Optimization Training • Certified SAP/Liferay • Classroom, On- site, Computer Based & Virtual • Mentoring & Custom Training Frameworks • Accountable Care Orgs (ACO’s) • Corporate Legal • Higher Education • Optical Shop Solutions Analytics • Analytics & BI Platforms • Data Warehouse & Data Integration Predictive Analytics
  • 7. Analytics Practice Business Intelligence Big Data Data IntegrationBusiness Analytics Data Warehousing • KPI’s and Metrics • Dashboards • Data Exploration and Visualization • Ad Hoc Analysis & Reporting • Data Mining • Predictive Analytics • Prescriptive Analytics • R, AzureML • Hadoop, MapReduce • AWS and Azure • Hive, Sqoop, Spark • NoSQL • Data Lake • Columnar • In-memory • EIM (Data Integration and Data Quality • Dimensional Modeling
  • 8. Today’s Agenda Introduction Impact of IoT Data Microsoft Azure And Hortonworks Data Platform Demo –Use Case In Logistics Industry What’s Next
  • 9. The Internet of Things is the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment. – Gartner Internet of Things (IoT)
  • 10. The Looming Opportunity: Internet of Things
  • 11. How Organizations Benefit From IoT Data ?
  • 13. Today’s Agenda Introduction Impact of IoT Data Microsoft Azure And Hortonworks Data Platform Demo –Use Case In Logistics Industry What’s Next
  • 14. Analytics Landscape Is Changing With IoT Data • Data comes fast and in huge volumes • Not all data is structured • Organizations data centers don’t easily scale • RDBMS aren’t the only data stores involved: SAP HANA, MongoDB, HDFS,.. • Analyst can’t wait for formal data on- boarding
  • 15. • Quick and easy access to enterprise class capabilities • Spin up resources as you need • Maintaining infrastructure is costly, so don’t • Use your budget more for analysis (not infrastructure). • Pay for what you use Microsoft Azure To The Rescue! How can my organization handle all this?
  • 17. Today’s Agenda Introduction Impact of IoT Data Microsoft Azure And Hortonworks Data Platform Demo –Use Case In Logistics Industry What’s Next
  • 18. • Logistics industry is a key player poised to benefit from the IoT revolution • IoT can connect different assets along a supply chain • IoT enables logistics providers to unlock higher levels of operational efficiency IoT Impacts On Logistics
  • 19. • Warehousing Operations • Fleet Transportation • Last-mile Delivery How Logistics Industry Is Benefited From IoT Data ?
  • 20. What if I wanted to… • Capture Data from IoT Devices in real time. • Store the data • Perform analysis while data is streaming • Send notification/ alert to business and users in real time • Visualize the information interactively Use Case: Setting The Stage
  • 21. Our Big Data, IoT, Real time project checklist • Real Time Streaming Application • HDP cluster • Large Data Store ( Hive, Hbase, HDFS) • Power BI What Do I Need?
  • 23. Step 1 : Collect Sensor Data Using Apache Kafka
  • 24. Step 2 : Collect Key Attributes using Apache Storm
  • 25. Step 3 : Process And Store
  • 26. Step 4 : Visualization, Alerts, Analysis
  • 27. Recap Vehicles with telematics sensors Collect incoming sensor data Filter the Key attributes only Push the collected data to Hadoop Store data for batch processing/ Analysis Finally visualize using BI tools/ web applications
  • 28. Today’s Agenda Introduction Impact of IoT Data Microsoft Azure And Hortonworks Data Platform Demo –Use Case In Logistics Industry What’s Next
  • 29. • Have you considered how you can use IoT? • Are you thinking about how to take advantage of internet enabled devices for your organization? • Do you have IoT devices and are not benefiting from data being generated? • Are you looking at getting analytics from your IoT devices? • Contact us and we’ll help you execute! • info@dunnsolutions.com What’s Next
  • 30. Thank you Janani Eshwaran· Analytics Consultant · Dunn Solutions jeshwaran@dunnsolutions.com
  • 31. • Demo references: http://hortonworks.com/tutorials/ http://www.statista.com/ Microsoft Azure Documentation • Other analytics webinars: • http://www.dunnsolutions.com/content/webinar- white-paper Acknowledgement and Reference