Red Analytica
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Sustainability Tech Case Study

Establishing a Scalable Data Lake for Carbmee's Carbon Analytics

How we built a centralized data lake on AWS to provide a single source of truth for carbon emissions data.

The Challenge

Carbmee GmbH needed a robust and scalable solution to manage and analyze vast amounts of carbon emission data from diverse sources. Their existing infrastructure was unable to handle the data volume and complexity, hindering their ability to provide accurate and timely reporting for their clients.

  • Lack of a centralized data repository.
  • Difficulty in processing and integrating data from various sources.
  • Inability to scale with growing data volumes.

The Solution

Red Analytica implemented a scalable data lake on AWS. We developed automated data ingestion and processing pipelines to efficiently manage the influx of data, creating a single source of truth for all carbon-related information and enabling faster, more accurate analysis.

  • Built a scalable data lake on AWS S3.
  • Automated data ingestion and processing pipelines.
  • Established a single source of truth for carbon data.

AWS Data Lake Architecture

AWS Data Lake Architecture

The architecture leverages various AWS services to provide a robust and scalable data platform for Carbmee.

The Impact

Unified

Single source of truth for carbon data

Faster

Reporting and analysis cycles

Accurate

Emissions tracking and management