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Building Big Data [Infographic]

DZone's Guide to

Building Big Data [Infographic]

To paint a picture of how developers handle real-world data volume and velocity, we gathered insights from over 400 developers. The results are summarized below!

· Big Data Zone ·
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Access NoSQL and Big Data through SQL using standard drivers (ODBC, JDBC, ADO.NET). Free Download 

In last year's DZone Guide to Big Data Processing, we collected survey data from our advanced developer audience to gather insights on how large datasets get, how many messages get processed per second, and how many nodes developers let their data processing clusters contain. We amalgamated all of this information into one easy-to-read diagram for you — check it out below!

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Do you think any of this has changed in the past year? If so, what? Let us know in the comments! And be sure to check our two most recent guides on big data:

The fastest databases need the fastest drivers - learn how you can leverage CData Drivers for high performance NoSQL & Big Data Access.

big data ,datasets ,clusters ,data processing

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