Data Pipeline Engineering in Belgium
Build data pipelines that scale. From ETL to real-time streaming, we engineer data infrastructure that turns raw data into business value.
We design and build robust data pipelines that collect, transform, and deliver data reliably at scale. Our data engineering practice covers batch processing, real-time streaming, data quality validation, and integration with modern data warehouses and analytics platforms.
Ce que nous livrons
Pipeline Architecture Design
ETL/ELT Implementation
Monitoring & Data Quality Framework
Comment nous travaillons
Data Source Assessment & Planning
Pipeline Development & Testing
Deployment & Monitoring Setup
Technologies que nous utilisons
Questions fréquemment posées
What is the difference between ETL and ELT?
ETL (Extract, Transform, Load) transforms data before loading into the destination, while ELT loads raw data first and transforms it in the destination. ELT is increasingly popular with modern cloud data warehouses like BigQuery and Snowflake that can handle transformation efficiently. We help choose the right approach for your needs.
How do you ensure data pipeline reliability?
We implement comprehensive monitoring, alerting, automated testing, data quality checks, and retry logic. Pipelines include detailed logging, lineage tracking, and automated recovery mechanisms. We also implement validation at each stage to catch issues early.
Can you integrate with our existing data sources?
Yes, we have experience integrating with databases, APIs, file systems, SaaS platforms, and streaming sources. We build custom connectors when needed and ensure secure, efficient data extraction. Our pipelines handle both structured and unstructured data sources.
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