title: Continuously changing Big Data and C#
body: <p>I have a dataset with {A LOT OF} rows containing continuously correcting data of 50000 assets of 150 customers for well over a decade and a half.</p>
  <p>I want to achieve the following:</p>
  <ul>
  <li>Storing data and changing data should be done at a reasonable speed</li>
  <li>Getting data must be super fast</li>
  <li>The customer should be able to retrieve data of day/month/quarter/annual time range for up to 10000 assets at a time</li>
  </ul>
  <p>All I need is the best way to implement a data storage solution for this dataset.</p>
  <p>I have tried SQL Server - it's slow; Azure Table storage getting data for 10K assets results in 10K queries .. so no good.
  Google big data have the same problem.</p>
  <p>Any help appreciated</p>