Data Engineering

Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. It includes but is not limited to deriving value from data, seamlessly moving data unchanged from source to destination, and giving context to large volumes of data so that it is both accessible and meaningful to multiple consumers.

SingularityAIX's Approach

SingularityAIX's approach to Data Engineering involves looking for concurrent workload capabilities on client’s pipeline, developing tools and identifying areas to seamlessly integrate and stream data between disparate systems, and enabling customer training to operationalize such development. In this process, key quality principles such as data integrity, security, regulatory compliance, and responsible data sharing are systematically observed and implemented.


Number of Data Items Discovered

Value of Identified Data

Speed of Data Retrieval

% of Data Seamlessly Moved

Performance Improvement

Opex Optimization