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“Great Expectations: Framework for Rapidly Developing Data Pipelines”

Aug 28, 2017 @ 8:00 am - 5:00 pm

James Campbell, Abe Gong, Derek Miller

Abstract – Great Expectations is a python framework for bringing data pipelines and products under test. Software developers have long known that automated testing is essential for managing complex codebases. Great Expectations brings the same discipline, confidence, and acceleration to data science and engineering teams.

It is designed to help teams to:

  • Save time during data cleaning and munging.
  • Accelerate ETL and data normalization.
  • Streamline analyst-to-engineer handoffs.
  • Monitor data quality in production data pipelines and data products.
  • Simplify debugging data pipelines if (when) they break.
  • Codify assumptions used to build models when sharing with distributed teams or otheranalysts.

View Abstract


WEB/CONFERENCE CALL INFO:
We are going to use the NC State WebEx for the web conference. Please note that this
WebEx belongs to NC State and can not be downloaded directly from Cisco.
Also, it should work on iPhones and iPads via the WebEx App.
A good internet connection is recommended.
For better audio, please join via computer and then have the meeting call your number
or call in directly using one of the numbers below. When not speaking, please mute
your phone to avoid background noise.

When it’s time, join the WebEx meeting from here:
https://wolfmeeting.ncsu.edu/orion/meeting/meetingInfo?MeetingKey=BgAAAGvzdvMP594S_g8y2W-2vxgyCH9vKnGcJi6u5h_AWHQKUqWpUIjII72eOt8svwKbTFALMTrFQ1_Qbr7FEUDDEWPn&frm=page&siteurl=wolfmeeting&back=all

Audio Connection: 919-513-9329 (WolfMeeting)
Access Code: 993 966 199

Details

Date:
Aug 28, 2017
Time:
8:00 am - 5:00 pm

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LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

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