Explore the creation of an IoT data layer for collecting, storing, analyzing, and reacting to data in this comprehensive talk by David G. Simmons from InfluxData. Learn about building a Linux- and open source-based IoT data layer capable of handling data across the entire architecture, from edge to cloud. Discover the importance of collecting data from various sources, storing and forwarding data at any point, and managing, visualizing, and analyzing data without hardware limitations. Gain insights into distributed data collection, IoT architecture, time series data, and tools like MongoDB, Telegraph, and Influx. Understand how to handle redundant topology, remove duplicate data, and synchronize information across your IoT ecosystem.
Creating an IoT Data Layer for Collecting, Storing, and Analyzing Data
Overview
Syllabus
Introduction
Data Layer for IoT
Collecting in the Cloud
Collecting at the Edge
Distributed Data Collection
Data Layer Architecture
Data Management
IoT Architecture
IoT Dashboard
Time Series Data
MongoDB
Questions
Two redundant topology
Remove duplicate data
Synchronize data
Telegraph
Influx
Taught by
Linux Foundation
