Data Engineering

Services

Data Ingestion & Aggregation
  • Design and implement scalable data aggregation pipelines using Azure cloud services
  • Unify data from disparate sources
  • Support analytics and decision-making processes
Cloud Computing & Data StorageG
  • Azure cloud storage for both structured and unstructured data.
  • Ensure optimal performance and scalability for growing data needs
  • Reliable access to data across the enterprise costs effectively.
Data Processing & Security
  • Data processing frameworks for transforming data into actionable insights.
  • Support both batch and real-time processing to meet diverse analytical and operational requirements

Data Engineering

  • Convert various sensor data formats into a unified format suitable for analysis.
  • Create mapping rules to translate data fields ensuring that relevant information is retained and correctly aligned.
  • Utilize APIs and connectors to facilitate communication between different sensors and data systems, enabling the extraction and normalization of data in real-time.
  • Integrated middleware to interface with multiple sensor types and protocols, allowing for seamless data collection and conversion from various sources.
  • Store raw sensor data in a data lake or data warehouse, where it can be processed and integrated later, allowing for flexibility in handling diverse formats.
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