From what I recall Map:Reduce was basically a weird representation of DAG based pipeline.
I think because it looked sorta like an automatic dictionary to multi-thread converter it became popular. But its pretty useless unless you know how to split up and process your data.
basically, if you can cut your data up into a queue, you can MapReduce. But, most pipelines are more complex than that, so you probably need a proper DAG with dependencies.
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From what I recall Map:Reduce was basically a weird representation of DAG based pipeline.
I think because it looked sorta like an automatic dictionary to multi-thread converter it became popular. But its pretty useless unless you know how to split up and process your data.
basically, if you can cut your data up into a queue, you can MapReduce. But, most pipelines are more complex than that, so you probably need a proper DAG with dependencies.