HAQM Timestream resources
Getting started with HAQM Timestream is easy: you create a database through the AWS Console, the AWS Command Line Interface (CLI), or AWS SDKs. You can send data to HAQM Timestream using data collection services such as AWS IoT Core, HAQM Managed Service for Apache Flink, and Telegraf, or through the AWS SDKs. You can use SQL to access your time series data with your preferred business intelligence tools using the JDBC driver. You can visualize and analyze time series data in HAQM Timestream using HAQM QuickSight and Grafana. You can also use HAQM SageMaker with HAQM Timestream for your machine learning needs.
For a primer on HAQM Timestream, a quick “Getting Started with Timestream” course is available to you free of cost. In this course, you will learn the benefits, typical use cases, and technical concepts of Timestream. You can easily get started with the service using the provided sample code or the interactive tool in the AWS Management Console.
Additionally, you can find more helpful content including Timestream videos, guides, and documentation below.
Videos
Best Practices to Get Started
Create dashboards in Grafana to visualize your time series data using the HAQM Timestream plugin for Grafana.
JDBC driver
Derive insights from your time series data with your preferred business intelligence tools using the HAQM Timestream JDBC driver.
Send data from HAQM Kinesis, HAQM MSK, Apache Kafka, and other streaming technologies directly into HAQM Timestream using the Apache Flink adapter.
Telegraf connector
You can send time series data collected using open source Telegraf directly into HAQM Timestream using the Telegraf connector.
You can use HAQM SageMaker notebooks to integrate your machine learning models with HAQM Timestream.
Documentation
HAQM Timestream Developer Guide »
Provides a conceptual overview of HAQM Timestream and instructions for using the various features with both the AWS Management Console and the AWS command line interface (CLI).
AWS CLI Reference for HAQM Timestream »
Describes how to use the AWS command line interface (CLI) to control HAQM Timestream.
SDKs
You can access HAQM Timestream using the Java, Go, Python, and Node.js SDKs. Get started with the HAQM Timestream SDKs in the documentation.