Addressing the Challenges of IoT Data
Although data from the internet of things (IoT) has great potential value, the evidence says that most IoT projects are failing--one recent survey found that only 26% of respondents have had an IoT initiative that they considered a complete success.
What's the problem? A significant barrier to success with IoT lies in the complexity and limitations of technology. The volume, velocity, and urgency of IoT data mean that you can't simply put it through a traditional ETL pipeline, however the alternative to date has been a complex patchwork of incomplete technology pieces.
In this webcast, Streamlio's David Kjerrumgaard discusses IoT data processing and how Apache Pulsar can help. You'll learn:
- Key requirements for IoT
- The role of stream processing in IoT solutions
- A modern architecture for IoT data processing
- The role of Apache Pulsar in IoT architecture
- How to use Pulsar Functions for IoT data analytics processing
Director of Solutions Architecture, Streamlio
In addition to working with Streamlio customers, David is also a contributor to the Apache Pulsar and Apache NiFi projects. He was formerly the Global Practice Director at Hortonworks, where he was responsible for the development of best practices and solutions for the professional services team, with a focus on Streaming technologies including Kafka, NiFi, and Storm.