Some Background Suppose you have a Data Analysis batch job that runs every hour on a dedicated machine. As the weeks go by, you notice that the inputs are getting larger and the time it takes to run it gets longer, slowly nearing the one hour mark. You worry that subsequent executions might begin to 'run into' each other and cause your business pipelines to misbehave. Or perhaps you're under SLA to deliver results for a batch of information within a given time constraint, and with the batch size slowly increasing in production, you're approaching the maximum allotted time. This sounds like you might have a streaming problem! But — you say — other parts of the analytics pipeline are owned by other teams, and getting everyone on board with migrating to a streaming architecture will take time and a lot of effort. By the time that happens, your particular piece of the pipeline might get completely clogged up. Wallaroo, while originally designed for streaming and event data, can also be use...


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