It’s time for data to go green

Discover how to use and manage your data in an eco-friendly and sustainable way with our Go Green Software guides.

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Go Green with your approach to data

The Go Green Software guides for Data Scientists, Data Architects and Data Engineers provide the principles you need to make data platforms eco-friendly and sustainable and use that data in a way that consumes less energy and resources, and has a smaller environmental impact.

By following these practical and actionable steps, you can help to develop software with the planet in mind.

You’ll learn about:

For Data Scientists

  • How to use data in a way that minimises its environmental impact

For Data Architects

  • Designing eco-friendly data platforms

For Data Engineers

  • The impact of the data life cycle on emissions

Go Green with your approach to data

The Go Green Software guides for Data Scientists, Data Architects and Data Engineers provide the principles you need to make data platforms eco-friendly and sustainable and use that data in a way that consumes less energy and resources, and has a smaller environmental impact.

By following these practical and actionable steps, you can help to develop software with the planet in mind.

You’ll learn about:

For Data Scientists

  • How to use data in a way that minimises its environmental impact

For Data Architects

  • Designing eco-friendly data platforms

For Data Engineers

  • The impact of the data life cycle on emissions

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Go Green Software Guide


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A guide for Software Developers & Engineers

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    Fast analytics at scale with Google BigQuery
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    Pushing the limits of BigQuery with Kabam
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    Fast analytics at scale with Google BigQuery
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8:30 AM–09:30 AM
Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
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    Speaker: Name, Title, Organization
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  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
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    Pushing the limits of BigQuery with Kabam
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    Pushing the limits of BigQuery with Kabam
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  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
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