Live Datamart JavaScript API Best Practices Guide

Have you decided that you need a custom user interface to visualize your data coming out of the Spotfire® Live Datamart?

If you are here, you already know that Spotfire® Live Datamart is the industry's first live data mart for Fast Data. It provides a push-based real-time analytics solution that enables business users to analyze, anticipate, receive alerts on key events as they occur, and act on opportunities or threats while they matter. Spotfire® Live Datamart enables ad hoc queries against tens of millions of live streaming records a day and includes connectivity with more than 150 integration points. Spotfire® Live Datamart is built to directly connect to massive streams of data in motion, including sensors, GPS, and other Internet of Things (IoT) data sources. It supports the IoT protocols such as OSI Pi and MQ Telemetry Transport (MQTT). Pre-built connectivity to data sources includes messaging technologies based on JMS, historical data such as JDBC and MySQL, static data such as CSV files, and others. At the heart of the LiveView server is the continuous query engine that processes high-speed streaming data, creates fully materialized live data tables, manages ad-hoc queries from StreamBase LiveView Desktop or custom user interfaces, and continuously pushes live results as conditions change in real time.

Read this guide which aims to describe the best practices for how to build a custom user interface to the LiveView server using the LiveView JS API.

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live-datamart-javascript-dashboard-sample-best-practices-guide.pdf