Enterprise IoT: Watching Cat Videos Without Getting Caught (or, How I Learned to Stop Looking Over My Shoulder and Trust the CEO Proximity Alert

We have a slight problem at SnapLogic. While we spend a vanishingly small percent of the day watching adorable cat videos on the Internet, it seems our CEO always shows up behind our desks while doing so. If only we knew when our CEO was nearby and could get an alert when he was.

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The Evolution of IOT Data Management with Joseph A di Paolantonio

Today’s post comes from Joseph A. di Paolantonio, an industry expert working at the convergence of IoT with data management and analytics at DataArchon.com and the Boulder BI Brain Trust. Leveraging a career that started with renewable energy research in graduate school and industry, developing risk assessment models and algorithms for aerospace systems, and managing teams for enterprise data warehousing, BI and data science, Joseph is defining sensor analytics ecosystems to bring value from the IoT.

What’s IOT All About

We have been asking what the IoT is all about for a very long time. Since Kevin Ashton first coined the phrase in 1999, and perhaps even since Nikola Tesla first played with a remote control boat in 1898. For many, the simple act of connecting a device, not a computer, not a router, to the Internet is enough. But even if everything around us, in work, at home, for business, for play, was connected..Does this make the Internet of Things? Does this fulfill much of the hype or any of the stories surrounding the IoT? Not at all.

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O’Reilly Webcast ft. SnapLogic IoT Expert

Interested in connected devices and the Internet of Things? Tomorrow, SnapLogic product manager and IoT expert Shayne Hodge will be the featured presenter on an O’Reilly Media webinar titled: “The CEO proximity warning device: Prototyping a cellular, GPS-enabled cloud-connected IoT device.” Register here to secure a spot.

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Practical Enterprise IoT: The Luminescent Evanescent Apparatus for Voiding Engagements

In this latest installment of our ongoing IoT blog series, we’re going to start discussing a more extended pipeline that we’ve installed here at SnapLogic HQ (as promised in the last post). Space prohibits us from showing all the details of how it works, but we’ll hit the high points in this post and the next.

You may have, at some point in your career, been in a meeting that has gone overtime. (You may be in one right now). You’ve probably wished for something to stop the meeting. Well, the Internet of Things is here to grant your wish.

We’re going to create a pipeline to activate a conference room meeting-is-over signal, the Luminescent Evanescent Apparatus for Voiding Engagements.iot4_graphic1

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Building an IoT Application in SnapLogic, Part II: Speeding Through the Last Mile

The last post in this ongoing IoT series detailed the creation of a cloud-based Ultra Pipeline to do the bulk of the work for our IoT application. We described the following application:

  • A sensor somewhere (on-premises, from an API, etc.) that produces data that includes a “color” payload;
  • An LED on-premise, attached to our local network, conveniently hooked up to look like a REST endpoint;
  • Two pipelines, one on-premise, one in the cloud.

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Machine Learning in the Enterprise, Part II: Intro to Anomaly Detection

Last time we talked about figuring out what we want machine learning to do to be more important than how to do it. So before we jump into how to build a machine learning pipeline in the SnapLogic Elastic Integration Platform, let’s talk about what we are doing. Continue reading “Machine Learning in the Enterprise, Part II: Intro to Anomaly Detection”

Building an IoT Application in SnapLogic: Figuring out Pipelines and Tasks

In the first post in this series, we talked about the challenges of integrating the Internet of Things into the enterprise. In the next few blog posts, we are going to build a simple IoT application that illustrates all the major aspects of working with SnapLogic and hardware.  In this post, we’re going to skip device details, but at a high level we’ll have:

  • A sensor somewhere (on-premises, from an API, etc.) that produces data that includes a “color” payload;
  • An LED on-premise, attached to our local network, conveniently hooked up to look like a REST endpoint;
  • Two pipelines, one on-premise, one in the cloud.

Hardware Considerations

Some IoT hardware is designed to be cloud-native, and will generally have a publish/subscribe relationship with a cloud server (such as MQTT).  This is very easy to work with from a security standpoint, since the output of these devices are accessible from anywhere.

Other devices instead communicate on their local network.  Assuming your local network isn’t internet accessible, this can create problems in talking to the device.  Usefully, the SnapLogic Control Plane (depicted, in a manner of speaking, as the rightmost rectangle below) comes to our rescue here.

Control-Data Plane Diagram
A “graphical depiction” of the control plane (right) communicating with various data planes, including a Hadooplex at the bottom. We see the artist is somewhat defensive about his rendering of the pachyderm likeness.

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