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Data Pipelines Creation & Maintenance

What It Means

Data pipelines automate the flow of data between different systems and processes. A pipeline moves raw data from one source to a target destination, transforming it along the way to ensure it's ready for analysis. Maintenance ensures that the pipeline runs smoothly without interruption, guaranteeing data is always accurate and up-to-date.

Techniques Involved

  • ETL (Extract, Transform, Load) processes
  • Workflow automation with tools like Apache Airflow or AWS Data Pipeline
  • Data transformation with Python (Pandas) or SQL

Case Study

A healthcare provider struggled to centralize patient data from various clinics. Athena IT Consulting developed a robust data pipeline that automated the collection, transformation, and integration of data into a single source of truth. The pipeline streamlined their data processing, reduced manual errors by 40%, and ensured compliance with healthcare data regulations. The client now spends 30% less time managing data.

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