
Data Engineering
Data quality is critically important for extracting intelligence. Without having good quality data in place, extracting expected insights is enormously difficult or may not be possible at all.
The key Data Engineering service tasks include:
- Implementation of ETL/ELT pipelines . The pipelines enable collecting data from different internal and external sources of client’s data
- Investigate data and identify quality flaws in datasets
- Implmentation of classical and advanced machine learning techniques for processing real-time data streams using
- Implmentation of components for processing structured and unstructured data in batch style
- Optimize data lake for faster read and write of data
We are highly experienced in data engineering for different industrial domains such banking, design and construction, education, government, media and entertainment.