Data engineering
Building your data and AI foundation
With global data exponentially growing from 2 zettabytes in 2010 to an anticipated 2,142 zettabytes by 2035, traditional data architectures are falling behind. We guide our clients in creating robust data architectures that transform information overload into a competitive advantage.
Data collection & ingestion
Whether building a global dashboard or Gen AI application success depends on quality data. Our team of data engineers helps identify, extract, format validate, and ingest data across siloed systems and sources into a centralized environment.
Data storage
Our data engineers take ingested data across structured and unstructured formats and architect the optimal data storage solution to house it. This includes everything from a cloud data warehouse to a data lake or even Vector Database.
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Data transformation & enrichment
Our team of data engineers and data scientists will audit the central data to identify gaps and challenges. We’ve developed proprietary AI capabilities to help our customers unify and enrich data to prepare workloads for data analysis, modelling, or AI/ML training.
Data quality, governance and security
Data quality and governance are fundamental to our data engineering approach. We implement robust validation rules and processes to ensure adherence to organizational data governance policies and maintain data integrity. Additionally, our data engineers are dedicated to enforcing security measures in line with organizational cybersecurity protocols and industry-specific privacy regulations, such as HIPAA, ensuring full compliance and data protection.
Insights
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Contact us and we’ll set up a video call to discuss your requirements in detail.