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1
Data Integration
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Multi-source data ingestion: manual input via custom interfaces, web scraping, databases
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Secure data exchange via APIs, authentication mechanisms, and third-party services
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Real-time and batch data processing
2
Data Transformation
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Data cleaning, validation, normalization, and enrichment
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Data modeling and aggregation
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Preparation of data for advanced use cases such as:
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AI knowledge bases
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Automated dashboards and analytics
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Data
Engineering
We design robust data pipelines that cover the full data lifecycle.
3
Data Storage
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Scalable data storage architectures
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Structured, semi-structured, and unstructured data formats
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Automated backup and disaster recovery strategies
4
Data Exploitation
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Process automation
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Business Intelligence and reporting
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Data-driven decision support
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