Data Engineering
Data Engineering
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Data Engineering
At ProCognitive Solutions, we enable its clients to get the most out of their data by providing a full set of data engineering services and solutions that optimize your analytics, data science and data warehouse initiatives.
Our research with Digital Accelerators to develop solutions for enterprises to power up a ‘Data as a Service’ capability that is critical to enable access to data across the Enterprise in turn accelerating the integration of Analytics into business processes and reduce the time to value from digital assets.
Our Data Engineering helps your organization with full portfolio of data engineering services to augment your organization's data team and provides full suite of managed services to drive down the cost of data ownership.
Our research with Digital Accelerators to develop solutions for enterprises to power up a ‘Data as a Service’ capability that is critical to enable access to data across the Enterprise in turn accelerating the integration of Analytics into business processes and reduce the time to value from digital assets.
Our Data Engineering helps your organization with full portfolio of data engineering services to augment your organization's data team and provides full suite of managed services to drive down the cost of data ownership.
Our Cyber Data Engineering service offerings includes:
- Data Infrastructure Solutions: Design and deployment both on the cloud and on-premise
- Data Engineering Solutions: Data pipelines & data processing
- Data Governance Solutions: Implement enterprise data policies with security audits
- Data Operations: Data Quality Monitoring and Support
The digital natives have created data as a source of competitive advantage by treating it as a core Enterprise Asset.
What makes us stand apart
- Outcome focused with data and technology design and implementation
- Integrated approach from System of Engagement to System of Records
- Outcome focus Full-stack approach
- Data APIs that enables the integration of datasets
- Well-established set of features that can be reused across use-cases
- Data governance enabled through technology
