Building Data Pipelines with Bad Data in Mind

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Bad data is so common that it would be seemingly insane to design your data processes and applications to count on data being flawless.

Yet, many of us do.

In this webinar we’ll show you some best practices and techniques for assessing and ensuring data quality.

Join us to learn:
  • Where data quality problems could creep into your processes
  • How (and why) to design with bad data in mind at every step of your process
  • Tips for an effective error handling process

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