MS: Analytics Backend Sample Clauses

MS: Analytics Backend. This microservice is the access point for the OpenReq client (e.g., a web browser). For each request, the data analytics backend has a configured pipeline that decides which of the other microservices of this layer has to be called, in which order, and with what configuration. For instance, there is a case in which we want to extrapolate all bug reports reported on Twitter. This example has the following four steps: 1. Get the Twitter dataset from the DSL. 2. Call the data preparation microservice to separate meta-information from the tweet text. 3. Use the NLP microservice to transform the text. 4. Call the classification microservice to classify all tweets. Before a pipeline is called, the analytics backend checks if the processing was already performed. If the data is already processed, it then gets loaded from the DSL to reduce unnecessary computation. The challenge is to create and evaluate a well-defined set of pipelines for the requests that will be available through the OpenReq platform.
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