Posted On: Jun 16, 2021
Amazon IoT Analytics is a fully managed service that makes it easy to collect, pre-process, enrich, store and analyze IoT data at scale to run sophisticated analytics on massive volumes of IoT data and gain insights into how IoT devices are operating without having to worry about the complexity typically required to build an analytics platform.
Starting today, Amazon IoT Analytics will also support the Apache Parquet format, an efficient open columnar storage format to store processed data in Amazon IoT Analytics data stores. Apache Parquet consumes less storage and is faster for querying large volumes of data compared to text formats such as JSON which was previously the only storage format supported for storing processed data in Amazon IoT Analytics. The Apache Parquet storage format is better suited when large volumes of processed data need to be stored and queried in Amazon IoT Analytics and the schema of the processed data is fixed. On the other hand, the JSON storage format is better suited to store and query smaller volumes of data in Amazon IoT Analytics when the schema of the processed data is expected to evolve.
To get started, use the Amazon IoT Analytics console to simply choose the Apache Parquet format for your Amazon IoT Analytics data store and specify a schema for the processed data that will be stored. For more information on using the Apache Parquet format in Amazon IoT Analytics data stores, see the File Formats page in the Amazon IoT Analytics user guide.
To get started with Amazon IoT Analytics, use the Quick start feature from the Amazon IoT Analytics console to create a channel, data store, pipeline and data set with a single click. You can send data from devices to Amazon IoT Analytics using Amazon IoT Core Rules. Visit the Amazon IoT Analytics website to learn more about Amazon IoT services.
Amazon IoT Analytics is a managed service that provides advanced data analysis for IoT devices. It lets you collect, process, and store IoT data in a time-series data store. You can then analyze the data by running queries. To learn more, please visit the Amazon IoT Analytics website or the developer guide.