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Ask HN: To everybody who uses MapReduce: what problems do you solve?
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Re: Ask HN: To everybody who uses MapReduce: what problems do you solve?
#2"How can I make Google shareholders richer?"
Re: Ask HN: To everybody who uses MapReduce: what problems do you solve?
#3MapReduce is great for ETL problems where there is a large mass of data and you want to filter and summarize it.
Re: Ask HN: To everybody who uses MapReduce: what problems do you solve?
#4"How do I make all my projects take 10x longer"
Re: Ask HN: To everybody who uses MapReduce: what problems do you solve?
#5How strongly does a RNA binding protein bind to each possible sequence of RNA?
Re: Ask HN: To everybody who uses MapReduce: what problems do you solve?
#6A host of batch jobs that source data from up to 28 different systems and then apply business rules to extract a substrate of useful data.
Re: Ask HN: To everybody who uses MapReduce: what problems do you solve?
#7How much can I save in my mobile phone and plan?
Re: Ask HN: To everybody who uses MapReduce: what problems do you solve?
#8"How do I make all my projects take 10x longer"
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Re: Ask HN: To everybody who uses MapReduce: what problems do you solve?
#9Billion of metric values.
Re: Ask HN: To everybody who uses MapReduce: what problems do you solve?
#10We had been using hadoop+hive+mr to run targetting expressions over billions of time series events from users.
But we have recently moved a lot back to mysql+tokudb+sql which can compress the data well and keep it to just a few terrabytes.
Seems we weren't big data enough and we were tired of the execution times, although impala and fb's newly released presto might also have fitted.
Add: down voters can explain their problem with this data point?