intdash server-side middleware to realize a scalable multifunctional data pipeline
intdash Server is server-side middleware for building various data pipelines in intdash. intdash Server provides diverse functions essential to the realization of industrial digital transformation such as high-capacity real-time transmission, high performance datastore that stores massive time-series data at high speed, and an open standard authentication mechanism that is easy to link with external systems.
The intdash API is a public API (Application Programming Interface) for intdash Server that developers can use in external applications.
Time-Series Data Management Service manages time-series data. This service receives a large amount of time-series data sent from edge devices and provides it via the API.
Analytics Services is a service that allows you to add plugin modules to extend intdash. You can create modules for Analytics Services mainly by using Python. You can add your own logic and customize intdash to achieve use cases like the example shown below.
You can apply any real-time or batch processing logic to data collected in intdash. You can leverage processing results by storing them as secondary data in the datastore again or by visualizing them in applications.
You can apply preprocessing including format conversion and data cleansing so that the data can be utilized in external systems.
Media Services provides video conversion and many other functions to build pipelines for video data. Media Services facilitates the use of media data by providing codec conversion for image clipping and format conversion for video streaming.
Media Services converts media data in intdash into streaming formats easy to use in third-party applications (in particular, web-based applications) such as HLS and MPEG-DASH.
Media Services converts media data in intdash into easy-to-handle video/image file formats so that it can be downloaded.
Media Services converts various kinds of media data in intdash into other suitable formats. For example, it converts highly compressed video data such as H.264 to image formats such as JPEG to enable the use of data in machine learning and other applications.