Saving to file before storing into a database in a REST service

A mobile back-end I am building should receive a larger amount of data (some sensor recordings) from an Android phone. The phone does not have much use of it so it was most efficient to store the data into plain files (SQLite can get quite slow with larger
amounts). Now when we upload the data to a REST service backed with a distributed database, we have another issue. Storing to it takes some time, since it is really a lot. I thought of uploading the file to the web service as fast as possible, leave the phone
alone, cache the file somewhere on the server and then some long-running workers will pick the data up and chunk it into databases. We have some other mechanisms to verify the data is properly stored and so on, but that is not important.
I would like to know is the REST->file->database approach valid? My concern is where to store the file? Disk, some in-memory database, a cache? Web servers fail (we can request a re-upload, but I would rather mitigate the risk earlier), or the server
can get cluttered. I'm afraid the local storage on the web servers does not scale really well, if we have multiple workers and servers.
Thank you in advance.

You could save the data to a local file like people have indicated and then upload to storage as a blob, alternatively you could also write directly to Table Storage. We have getting starteds for both of these here:
http://azure.microsoft.com/en-us/documentation/services/storage/ - just click on the Java tab.
The Android client library and introduction can be found here:
https://github.com/Azure/azure-storage-android
Jason
jason

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    null

    Go and read about JDBC. You need to know some basics before asking such a st&*id questions.
    Paul

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