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Data Engineering Patterns

Engineers, scientists, and analysts have the potential to greatly reduce carbon emissions by introducing sustainable, efficient, and robust approaches to their development strategy.

Photo by Isaac Garcia on Unsplash

How should developers and data practitioners start to incorporate environmental factors when developing end-to-end data solutions?

In this article, we approach sustainability from a data practitioner’s point of view, raising awareness on the magnitude of environmental implications of data handling activities. We identify inefficient patterns leading to increased energy consumption and delve into strategies to tackle them. The focus will be on code, design strategies, compute optimization and additional actionable sustainable patterns that contribute to the end goal of sustainability.

Table of Contents

1. Energy is at the core of every application (The Why…)

2. Significant energy consumption is the consequence of unsustainable engineering patterns (The What…)

• Data Ingestion