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On-Demand Webinar

How to Analyze and Visualize IoT Data Using Splunk and HiveMQ

DEC 15 2020

In this webinar, Dominik Pilat, Falk Flößel, Philipp Redlinger, Ronald Perzul and Ian Skerrett demonstrated the HiveMQ Splunk extension that natively forwards the MQTT data to Splunk.

MQTT has become the de facto protocol for moving IoT data between IoT devices and the cloud. MQTT’s lightweight publish/subscribe protocol makes it easy to connect thousands and even millions of devices that generate vast amounts of data. The ability to analyze and process IoT data can be challenging due to the sheer volumes of data involved. Splunk is a well-known data analysis and visualization platform that is proven to handle large amounts of real-time data from a vast amount of IT sources like servers, web services, or networking equipment. For companies that want to expand their use of Splunk to analyze IoT data, the question that arises is how you can do this in a scalable and reliable way?

HiveMQ and SVA join forces to demonstrate how you can use Splunk and HiveMQ for analysis and visualization of IoT data. During the session, SVA demonstrated the HiveMQ Splunk extension that natively forwards the MQTT data to Splunk. The session also features a demo of using Splunk and HiveMQ to collect, move and analyze Smart Factory data in real-time and historically. Thus, validating that Splunk and HiveMQ can be used as an effective, scalable and reliable IoT-analytics solution.

About the Speakers

Portrait of Speaker: Ian Skerrett
Ian Skerrett is Vice President of Marketing at HiveMQ. He has over 25 years of experience in the software industry and is one of the top experts for creating Open Source Strategies for enterprise software products. He was instrumental in creating the Eclipse IoT open source community with more than 15 different open source projects that provide the building blocks developers require for building IoT solutions. He is also a frequent speaker on IoT and MQTT.

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