Sustainability - Data Analytics Lens


Organizations and government departments play a critical role in conserving natural resources and protecting global ecosystems by reducing the use of materials or resources.

The practice of designing and building sustainable cloud workloads is understanding what emissions are attributable to your IT usage has on your organization’s carbon footprint. You can then apply these design principles and best practices to reduce these emissions.

Sustainability in the cloud is a continuous effort focused primarily on energy reduction and efficiency across all components of a workload. You can do this by achieving the maximum benefit from the resources provisioned and minimizing the total resources required. This effort can range from the initial selection of an efficient programming language, adoption of modern algorithms, use of efficient data storage techniques, deploying to correctly sized and efficient compute infrastructure, and minimizing requirements for high-powered end user hardware.

How do you ensure the services and the infrastructure deployed to ingest, process, and analyze data have been designed with sustainability as an architectural principle? This section details how to design your data platforms using sustainability architectural best practices to reduce your organization’s data analytics carbon footprint.

Throughout this section, we explore various best practices to help understand how they can reduce your organization’s analytics carbon footprint. Implementing each of the best practices involves resource trade-offs. Your organization should examine these best practices, both holistically and individually, and agree on whether they will be beneficial in meeting your sustainability goals. Data compression, for instance, will minimize your storage footprint. But, as a trade-off, more computing power is required to decompress the data. It is advised that your company tests the best practices recommendations to determine the level of storage vs. compute trade-off and identify which approach is most sustainably beneficial.