Smart Data Webinar: Getting Started with Streaming Analytics and the IoT
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As devices and systems connected to the Internet of Things generate streaming data on a global scale, firms need effective strategies for identifying and leveraging this data in new applications. That may require the integration and analysis of data from internal legacy sources, current customer-generated data, and external sources from partners and data service providers. The data management and analytics tools of the last decade may be able to handle the volume of data, but they simply can’t keep up with the speed at which it must be processed. A variety of vendors are racing to meet this challenges with a new generation of data management and analytics tools. From query optimization solutions to integration techniques to new platforms for IoT device interoperability, there is no shortage of innovation in this space today. In this webinar, participants will learn: •How the data management vendor market is re-aligning to support streaming analytics, •Why enterprises need an open-source analytics strategy, and •How real businesses are competing today with streaming analytics (short case studies from a variety of industries)
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Smart Data Webinar: Getting Started with Streaming Analytics and the IoT
- 1. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Getting Started with Streaming Analytics and the IoT April 14, 2016 Adrian Bowles, PhD Founder, STORM Insights, Inc. info@storminsights.com
- 2. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Getting Started with Streaming Analytics and the IoT Context - New Data, New Demands Streaming Analytics - What, and Why Now? Open Source Strategies Vendor Solutions
- 3. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Getting Started with Streaming Analytics and the IoT Context - New Data, New Demands Streaming Analytics - What, and Why Now? Open Source Strategies Vendor Solutions
- 4. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. “The Internet of Things is the new Industrial Revolution.” Dr. John Bates, 11/17/2015
- 5. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. When everything is connected… New sources of data emerge New sources of value emerge Old assumptions must be challenged The Impact of the IOT
- 6. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. IOT enables New technologies New models New ecosystems
- 7. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Intelligence can be Local to the device Distributed Aggregated
- 8. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. New Data, New Demands, New Opportunities!
- 9. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. New Data, New Demands, New Opportunities!
- 10. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. New Data, New Demands, New Opportunities!
- 11. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. New Data, New Demands, New Opportunities!
- 12. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Streaming Solutions: On-Demand Access Images courtesy of Wikipedia
- 13. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. New Data, New Demands, New Opportunities!
- 14. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Copyright (c) 2014 by Umbrellium Ltd. The data are there…
- 15. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Getting Started with Streaming Analytics and the IoT Context - New Data, New Demands Streaming Analytics - What, and Why Now? Open Source Strategies Vendor Solutions
- 16. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Attributes of a Stream “You could not step twice into the same river.” Heraclitus 535BC-474BC To understand the contents (analyze)… Divert the flow? Pool the data? Evaluate everything without changing the flow? (ask Heisenberg about that one) Sample? (catch and release?)
- 17. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Evolution of Data Management Solutions Images courtesy of Wikipedia Today: Delta Airlines processes 5,000,000 business events per day Pratt & Whitney jet engine: 5,000 sensors producing 10GB/s/per engine. Formula 1 car sensors produce about 1.2GB/s and we need to predict the future… Perform Operations on Data at Rest
- 18. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Speed Volume Low High High Streaming Data
- 19. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Conventional Data ArchitectureDataSources Store Process/Transform Key Data Flows on the Edges, Queries on the Vertices
- 20. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Streaming Data ArchitectureDataSources Store Process/Transform Observe Key Data Flows on the Edges, Queries Everywhere Sampling vs Monitoring Everything…
- 21. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. The Problem With Sampling… 440 880 440 880
- 22. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. The Problem With Sampling… 440 880 440 880 440 880
- 23. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Getting Started with Streaming Analytics and the IoT Context - New Data, New Demands Streaming Analytics - What, and Why Now? Open Source Strategies Vendor Solutions
- 24. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Courtesy of STRIIM The Open Source Ecosystem for Analytics Infrastructure
- 25. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. A Role for Collaboration and Standards
- 26. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Getting Started with Streaming Analytics and the IoT Context - New Data, New Demands Streaming Analytics - What, and Why Now? Open Source Strategies Vendor Solutions
- 27. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. IoT Platforms Predix Jasper Control Center Watson IoT
- 28. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
- 29. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
- 30. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Streaming Analytics
- 31. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Key Trend: Streaming Analytics for IOT as a Service
- 32. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Key Trend: Streaming Analytics for IOT as a Service
- 33. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Key Trend: Streaming Analytics for IOT as a Service
- 34. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Streaming Analytics - Emerging Vendors to Watch
- 35. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
- 36. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
- 37. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
- 38. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Data Sharpening (Zoomdata)
- 39. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Do you have or can you capture streaming data that can increase your value proposition? Data about your product that can improve performance, reliability, predictability… Can you create value from new analysis of open data? Adding your own data/algorithms to open data creates value. Tip: Choose an infrastructure that allows you to evaluate live streaming data in the context of relevant historical data. Getting Started… It’s All About the Data
- 40. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. What will you do with it to create value?
- 41. For more information: Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. adrian@storminsights.com Twitter @ajbowles Skype ajbowles If you would like to connect on LinkedIn, please let me know that you that you found me via the Smart Data webinar series. Upcoming Webinar Dates & Topics May 12 Emerging Data Management Options: Graph Databases June 9 Advances in Natural Language Processing (NLP) July Modern AI and The Future of Work (With Steve Ardire)
Editor's Notes
- Thanks, Shannon, and welcome to the second installment of our 2016 webinar series.
- Event stream processing, complex event processing
- GE: “Predix is the foundation for all of GE’s Industrial Internet applications, providing powerful, consistent, secure, and scalable support for the solutions you rely on to optimize your business.” Cisco: “Jasper Control Center is the only IoT platform that intelligently adapts to your business needs, providing a vast array of flexible ways to automate your IoT services. Our proprietary automation engine makes it easy to launch new services, optimize performance on the fly, lower operational costs, and continuously deliver exceptional customer experiences.” ATT: “Connecting more IoT devices than any other provider in North America with a global network that reaches over 200 countries and territories, AT&T is your leader in the Internet of Things.” Intel: IoT Developers Resources Find everything you need to start building IoT applications, from documentation, tools, and support to a community of like-minded developers.
- When the user interacts with a chart, Zoomdata takes that single logical query defined by the chart and turns it into a set of micro-queries. Micro-queries are smaller queries sent to the source and executed in parallel. Each of them executes in much less time than would the original large query. When the results from the first micro-query return from the source, Zoomdata immediately displays that result data to the user as an approximation of the final visualization. As the rest of the micro-queries complete, Zoomdata’s streaming architecture updates the visualization with new data, revealing increasingly better and more accurate approximations of the final result until the full result set comes into focus. Zoomdata assembles the multiple result streams from the micro-queries to answer the user’s question, while giving accelerated query response time to the user.
- we’re going to open it up for questions now, so I’ll turn it back to Shannon and leave you with my contact info and information about upcoming webinars in this series