Stream Processing

Stream processing involves making changes to streaming data to generate a required output. ESB Streaming Integrator allows you to carry out a wide range of operations to process streaming data. These operations are supported via Siddhi Extensions. These operations can be broadly categorized into five categories as follows:

  • Cleansing

    Filtering only the required information for further processing out of all the extracted/received data, and other cleaning activities such as pre-processing, adding missing values, removing unnecessary attributes, etc.

  • Transforming

    Transforming data from one format to another, performing a range of mathematical, regex, string, unit conversion, map, json, etc., and enabling the creation of scripts that perform transformations.

  • Enriching

    Joining streams of data with each other as well as static data (such as tables) to enrich the data

  • Summarizing

    Performing long-term time based summarizations, as well as performing summarizations for subsets of data based on time or length (number of events e.g., every 10 events).

  • Correlating

    Identifying trends and patterns.

Top