The BIG, the BAD, and the UGLY: Big Data Best Practices for DAQ

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Data acquisition systems are producing more analog data than ever before. This opportunity to uncover new insight comes at the risk of spending more time searching for and analyzing multiple data sets. Learn how proper metadata documentation, custom triggering, implementing the right analysis technique, and conditional logging help to save only the data you need to make informed decisions.