AWS Database Blog
Category: Internet of Things
Simplify Industrial IoT: Use InfluxDB edge replication for centralized time series analytics with Amazon Timestream
As industrial and manufacturing companies embark on their digital transformation journey, they are looking to capture and process large volumes of near real-time data for optimizing production, reducing downtime, and improving overall efficiency. As part of this, they’re looking to store data locally at the plant floor or on-premises data center for real-time low-latency reporting […]
How power utilities analyze and detect harmonics issues using power quality and customer usage data with Amazon Timestream: Part 2
In the first post of the series, we demonstrated how to use an Amazon Timestream database and its built-in time series functionalities to interpolate data and calculate the correlation between customer energy usage and power quality issues. In this post, we show you how to build a power quality analysis Proof of Concept (PoC) using […]
Build a sensor network using AWS IoT Core and Amazon DocumentDB
In this post, we discuss how you can build an Internet of Things (IoT) sensor network solution to process IoT sensor data through AWS IoT Core and store it with Amazon DocumentDB (with MongoDB compatibility). An IoT sensor network consists of multiple sensors and other devices like RFID readers made by various manufacturers, generating JSON […]
Patterns for AWS IoT time series data ingestion with Amazon Timestream
August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Large-scale internet of things (IoT) applications generate data at fast rates, and many IoT implementations require data to be stored sequentially, based on date-time values generated either […]