We integrate and transform data
It all starts with the right data. About 80 percent of the effort for a viable data product lies in extracting, processing, merging, and transforming the data. You do not want to invest this effort manually every time but strive for an appropriate degree of automation by deploying reproducible and robust data pipelines.
Data extraction, transformation, and loading
Classic ETL for data warehouses or ELT for data lakes, structured, semi-/unstructured or stream-based data, in batch or in real time.
Data modeling and storage
From raw data storage, single-node databases, and big data to analytics-ready data representation in classic data schemas or agile data vault models.
Cyber security, data protection, and ethics
Attack protection, CIA, GDPR, procedural and technical sound integration of data sources, data ownership, data usage, and data sovereignty in productive data pipelines.