Announcing support for custom partitioning in AWS IoT Analytics Data Stores

AWS IoT Analytics now supports custom partitioning on AWS IoT Analytics data stores, enabling customers to partition their data stores based on both timestamp and non-timestamp attributes. You can use this feature to create partitioned data stores so that your queries can run more efficiently as they will scan less data and hence run faster. The option to define a custom partition scheme on an AWS IoT Analytics data store will be made available at the time of creation for both customer managed and service managed data stores. Partitions can be created either on top of channel message attributes or data store attributes resulting from pipeline activities. To get started, use the AWS IoT Analytics console to create a data store, enable custom data store partitioning and define a corresponding partitioning schema. For more information on how to get started, see the [Custom Partitioning](https://docs.aws.amazon.com/iotanalytics/latest/userguide/custom-partitioning.html) page in the AWS IoT Analytics user guide. Also for details on CreateDataStore API parameters and the request and response syntax, see the [AWS IoT Analytics API reference guide](https://docs.aws.amazon.com/iotanalytics/latest/APIReference/API%5FCreateDatastore.html). AWS IoT Analytics is a fully managed service that makes it easy to collect, pre-process, enrich, store and analyze IoT data at scale by running and operationalizing sophisticated analytics on massive volumes of IoT data without having to worry about the complexity typically required to build an analytics platform. To learn more, please visit the [AWS IoT Analytics website](/iot-analytics/) or the [developer guide](https://docs.aws.amazon.com/iotanalytics/?id=docs%5Fgateway). For a list of AWS IoT Analytics supported regions, visit [AWS Regions](/about-aws/global-infrastructure/regional-product-services/).