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Reference framework for building data workflows provided by Google. Accelerates authentication, logging, scheduling, and deployment of solutions using GCP. To borrow a tagline.. "The framework for professionals with deadlines."

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google/starthinker

End of Google Support: The StarThinker project will no longer receive new solution contributions from the Google team. Please read the full StarThinker Open Source Support Ends At Google article for more details.

Disclaimer: This is not an officially supported Google product. It is a reference implementation. There is absolutely NO WARRANTY provided for using this code. The code is Apache Licensed and CAN BE fully modified, white labeled, and disassembled by your team.

Scaled Automation Application For Ad Operations Teams

At gTech, we believe every ad operations team should be faster, nimbler, and able to use all their data sources to drive client impact. To that end, we've created StarThinker, a simple and intuitive web UI that allows users to create, edit, run, and schedule data pipelines consisting of data transfer and data processing jobs. StarThinker deploys on Google Cloud in minutes without engineering or coding required. Read the WhitePaper.

StarThinker Screen Shots

For Ad Operations Teams...

Sheets only go so far, with a StarThinker running, the ad operations team can operate on larger data sets, scale solutions across clients fast, and even automate campaign controls. All using a drag and drop UI.

Steps From Tutorial:

For Ad Engineering Teams....

No one enjoys building boiler plate code, it's slow, error prone, tedious, and honestly drains the energy out of any project. At best StarThinker lets you skip all that, at worst it's working code you can strip down for your needs. Take what you need.

  • Out of the box authentication.
  • Out of the box scaling.
  • Out of the box logging.
  • Out of the box testing.
  • All Apache Licensed to give you a head start and complete development control.

Steps From Tutorial:

Where Do I Get Help?

Authors

Additional contributors to individual handlers and recipes are listed in each file.


© 2020 Google LLC - Apache License, Version 2.0