Fast-track data lake and data warehouse implementation to meet real-time, changing business needs
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Develop robust data ingestion, ETL/ELT, and transformation pipelines for on-prem, cloud-native, and hybrid environments
Process diverse data at massive scale and speed to uncover meaningful business insights
Create a foundation of intelligent automation with ML platforms and models, ML lifecycle management, and MLOps
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Optimize data quality, data pipeline execution, and resource usage with robust end-to-end solutions
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Address your desired use case across critical analytic dimensions
Collaborate with experts on strategic objectives
Identify and select core technologies
Ensure IP governance and protection
Align business outcomes with goals
Explore architecture options with experts
Ensure alignment of business and technology
Architect an ideal solution for a pressing problem
Validate or refactor existing architecture
Develop a prototype with expert guidance
Establish a roadmap to production
