IoT Architecture – Choosing the Right IoT Data Platform
Available On Demand
You are worried about your IoT proof-of-concept project. Yes, you have a deployment plan and the sensors you think you need. But you aren’t clear on what the performance will be when you hit full roll-out. You’re also fuzzy on what kind of data architecture should use. Reading up on SQL versus NoSQL databases leaves you more confused. On top of all of that, you fear that when your project ingests large data sums in the real world, chaos will ensue.
We’ll share lessons learned from production-scale IoT projects while explaining why a Time Series Database is vital for enterprise IoT deployments. We’ll explore how to get data into the InfluxData Time Series Data Platform for high-throughput data ingestion and real-time analysis and share common pitfalls our clients have faced when launching IoT projects.
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David Simmons, IoT Developer Evangelist, InfluxData
David Simmons is the IoT Developer Evangelist at InfluxData, helping developers around the globe manage the streams of data that their devices produce. He is passionate about IoT and helped to develop the very first IoT Developer Platform before “IoT” was even ‘a thing.’ David has held numerous technical evangelist roles at companies such as DragonFly IOT, Riverbed Technologies, and Sun. He studied Computer Science at the University of New Mexico and has a BA in Technical Writing from Columbia University.