Internet of Things survey – How are enterprises managing IoT data?

EMA_Infographic_iconDefined by some as the “collection, processing and analysis of information from sensors on a large number of disparate devices,” the Internet of Things (IoT) presents challenges to IT organizations that go beyond simply dealing with more available data. It presents challenges related to collection, management and processing.

In order to learn how (or if) enterprises were taking on the IoT challenge, Enterprise Management Associates (EMA) recently surveyed IT professionals about their plans regarding big data strategies, including IoT projects. SnapLogic sponsored this research and we have provided an infographic with some of the survey findings.

IoT is more than just a buzzword. Survey results show that enterprises have realized that the data available from things provide a rich source of business insights. 50% of respondents in the survey indicated that IoT is “essential” or “important” to their business strategies.

By the nature of this data, processing latency is important. Respondents needed real-time (32%) or intra-hour (23%) data processing to realize their goals. Respondents also found that traditional ETL was not sufficient for IoT data. Instead, these companies were moving beyond batch toward streaming technologies for integration.

To help enterprises deal with IoT data quickly and efficiently, the SnapLogic Spring ’15 release extended our cloud and big data integration capabilities to the Internet of Things with support for Message Queuing Telemetry Transport (MQTT).

Learn more about the current state of IoT in the enterprise.

Hybrid Cloud Integration: Why It’s Different and Why It Matters

451_Webinar_Stand-alone-graphicIT organizations are challenged like never before with several disruptive changes, and the popularity of SaaS offerings has driven the first wave of cloud-to-on-premises system integration. As hybrid clouds proliferate, and as workloads shift across these disruptive venues, enterprises must now consider a thoughtful and strategic approach to hybrid cloud integration.

Join us for a Webinar: Hybrid Cloud Integration on Wednesday, June 17th at 10am PDT / 1pm EDT for a discussion with 451 Research analyst Carl Lehmann on the following:

  • The business and technical trends driving hybrid cloud integration
  • How hybrid cloud integration is different from traditional approaches to integration, and why it matters
  • Cloud integration challenges and how to overcome them
  • How a reference architecture can help craft integration strategy

Webinar attendees will have the opportunity to build a business case for hybrid cloud integration, and blueprint the practices, techniques and tools needed to integrate on-premises and cloud resources so they operate and adapt as a uniform platform for business operations. We will also feature a live demo of the SnapLogic Elastic Integration Platform as a modern tool for hybrid cloud integration. Register here.

For more on the benefits of further combing integration technologies, 451 Research recently posted this report on extending beyond cloud big data integration into the Internet of Things, featuring our Spring 2015 release.

The Internet of Things and Wearable Tech: Our Interconnected Future

Internet-of-ThingsThe first Bluetooth headset was sold in 2000. Nearly a decade and a half later, 2014 was declared “the year of the wearable” by tech publications and industry enthusiasts. 2014, after all, was when tech fans were first informed about the pending arrival of what is now the most famous wearable in the world – the Apple Watch.

But if 2014 was the year of the wearable, you wouldn’t have known it if you were a guest at that year’s Consumer Electronic Show. The 2014 CES was dominated not by Apple Watch anticipation, but unbridled excitement over the Internet of Things (IoT).

Now in 2015, it is hard to talk about one without talking about the other. Wearables and IoT are on a collision course, and the merger is already triggering an entirely new technological revolution: the Internet of Me.

Wearables: Following the Path of the Smartphone

The Internet of Things refers to the widespread usage of wifi to animate and connect “dumb” machines and objects, such as toothbrushes to make them “smart.” Once enlightened, these smart devices can communicate not only with each other, but with their human masters.

A smart toothbrush gathers data about your brushing habits and sends it directly to your dentist to analyze before your next visit. IoT, which has been creeping forward for years, is now poised for mainstream saturation before the end of the decade. But the introduction of wearables is speeding up - and altering - the onset of IoT.

Wearables are evolving along a path similar to the one taken by smartphones. Smartphones didn’t truly hit their stride until Apple launched the App Store, which enabled users to integrate their entire digital lives -  from their daily planner to GoogleDrive to their ecommerce landing pages to their iTunes music library - all in one place.

Like pre-App Store smartphones, wearables are just another ecosystem of devices. Wearables can’t revolutionize the way humans interact with technology until they are stitched together with the other crucial components of our digital lives. The arrival of IoT is providing just that stitching.

Ford Cars, Android Wear and Connected Wearables

Ford is leading the charge to integrate IoT with the wearables that people access while they are driving. If a diabetic driver has a medical bracelet or watch, it could relay information about the driver’s blood-glucose level to the car’s on-board multimedia system, which could then relay that information to physicians or family members, if need be. If a baby were sleeping in the back, a wearable could monitor its vitals and relay the information to the vehicle, to the parents’ wearables, or both.

Wearable-techOne The Internet of YOU: When Wearable Tech and the Internet of Things Collide describes the phenomenon of IoT plus wearables - The Internet of You - as “having the potential to build our technology so that it works for us, not the other way around.” One example is Android Wear, which was built by Google. Google recently purchased Nest, which is a collection of smart household devices. When Android Wear connects to the Next thermostat, for example, the thermostat wouldn’t need to be programmed. Instead, Wear could “tell” the thermostat that the wearer is getting too warm or cool, and the thermostat could then adjust the temperature in the room.

The Internet of You combines the personalization of wearables with the ubiquity of the Internet of Things. Like smartphones, wearables unite the scattered elements of the user’s personal and digital life. If wearables existed in a vacuum, they would be another cool novelty gadget - a toy for people with disposable income. But with IoT acting as the glue that bonds wearables to all of the increasingly “smart” devices that surround us in our daily lives, wearables have the potential to rival - or replace - smartphones as the single most important devices we own. Just as IoT will affect the rise of wearables, wearables have the potential to act as the unifying force that bonds the billions of devices that will make up the Internet of Things.

Together, they are the Internet of You.

Nick Rojas is a business consultant and write who lives in Los Angeles and Chicago. He has consulted small and medium-sized enterprises for over twenty years. He has contributed articles to Visual.ly, Entrepreneur and TechCrunch. You can follow him on Twitter @NickARojas, or you can reach him at NickAndrewRojas@gmail.com.

iPaaS Meets IoT for Big Data Integration

This week SnapLogic Solutions Architect Jason Slater was interviewed about our new MQTT Snaps and Spring 2015 release on the Integration Developer News site.  He notes that, “when it comes to Internet of Things (IoT) data, we see 100% alignment with our approach to big data and cloud application integration.”

jason_slater_snaplogicHere are a few other comments from Jason about how SnapLogic connects data, applications and now things faster:

  • “Customers we talk to about their IoT strategy universally accept that traditional data warehousing approaches are not going to be feasible for this kind of big data storage and analytics… you simply can’t get ‘Things’ into a data warehouse.”
  • Commenting on SnapLogic’s big data integration capabilities, he noted: “Data scientists [and even business analysts] looking for big data insights don’t need to write Java code and complex queries….From the perspective of end-user productivity and time to value, SnapReduce makes designing complex big data integration easy by dynamically generating MapReduce code behind the scenes, leveraging the Cascading framework.  This allows business analysts and data scientists to avoid writing Java code and complex queries and instead focus on what’s most important:  gaining insight from their big data.”
  • “In addition to MQTT, we’re working toward supporting a number of emerging standards to ensure IoT data is able to be managed effectively as part of an overall big data integration and data lake strategy.”

You can read the entire Integration Developer News (IDN) write up on our Spring 2015 release here: SnapLogic Embraces IoT in Latest iPaaS; Adds Value with Hadoop-Ready Integrations.

Be sure to also register for the IDN web conference on iPaaS in June.

Connecting Big Data and the IoT in a Snap

In 2014, Ovum’s Saurabh Sharma, who recently published the Integration Platform as a Service (iPaaS) Decision Matrix, wrote about the lack of Internet of Things (IoT) standards and how this is hindering adoption. This week Loraine Lawson at ITBusinessEdge wrote about the intersection of big data and IoT, pointing to new Forrester and Dimensional Research reports that highlight the challenges of managing unstructured data in the enterprise.

snaplogic_iotThe Spring 2015 release of the SnapLogic Elastic Integration Platform extends our cloud application and big data integration capabilities to IoT with support for Message Queuing Telemetry Transport (MQTT). This means SnapLogic customers can easily build dataflow pipelines that connect to an MQTT broker for sensors, mobile and connected devices and stream data to analytical and other applications in real time. One of the primary use cases for the new MQTT Snaps is rapidly integrating IoT data with other big data sources and enterprise applications for predictive, advanced analytics and data visualization.

Given the nature of our JSON-centric iPaaS, it’s important to note that MQTT is just the first of a set of standards and protocols we’re looking at supporting as more and more customers seek to harness and manage IoT data as part of an overall data lake strategy. Later this year, the SnapLogic iPaaS will support additional IoT protocols such as AMQP, CoAP, OMA, Lightweight M2M and ETSI Smart M2M.

In this demonstration, you can see the new MQTT Snaps in action. The demonstration highlights the platform’s ability to:

  • 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, Amazon Redshift, Google BigQuery and others
  • Provide bidirectional communication with devices
  • Provide seamless cross-protocol support as we continue to introduce support for new protocols and standards

At SnapLogic, we’re focused on ensuring our customers can go beyond legacy ETL and ESB technologies and connect faster – whether you’re integrating big data, cloud applications or the Internet of Things. We look forward to your feedback on the new MQTT Snaps and what hearing you’d like to see next when it comes to the intersection of big data and IoT.