Data Pipeline & Infrastructure
Description
In order to be able to analyze usage data efficiently, they need a stable technical basis. We design and implement a data pipeline that processes tracking data in a structured way and transfers it to analysis environments. In doing so, we rely on scalable SQL-based architectures, for example in BigQuery. The goal is an infrastructure that consistently combines data and makes it available for analyses.
Your input
- Overview of existing data architecture
- Access to data platforms and cloud environments
Our result
- Design and build a scalable data pipeline
- Structured storage and processing of tracking data
- Integration with analytics platforms such as BigQuer
DPI
