eBook: Architecting for the Internet of Things
As the IoT continues to evolve, large vertical capabilities are converging to form an unexpected—and strong—new reference architecture for this emerging network. Machine-to-machine communications, big data, cloud computing, distributed systems, networking, mobile and telco, apps, and smart devices all contribute to IoT capabilities. This O’Reilly report examines the critical role that operational databases play in that convergence.
IoT data management platforms need to handle data in motion (fast data) as well as data at rest (big data). Legacy data systems aren’t designed to manage vast inflows of high-velocity data from multiple devices and sources. But as Volt Active Data database expert, Ryan Betts, explains, operational databases have the performance and scalability to combine data from analytics run against collected (big) data with the current state and readings of things (fast).
What You’ll Read
This report explains how operational databases enable IoT applications to fulfill four data management capabilities:
- Fast ingest:
In-memory performance and horizontal scalability that provide a single ingestion point for high-velocity data feeds
- Explore and Analyze:
Real-time access to applications and querying engines
The ability to trigger events and make decisions based on inbound streams
The ability to export accumulated, filtered, enriched, or augmented data to downstream systems