Building Maintainable, Automated and Reusable Production-Ready Data Pipelines

Time: 2:30 pm
day: Track 2 - Day 1


  • Developing Extract – Transform – Load (ETL) data pipeline for descriptive analytics (e.g. departmental KPI dashboards)
  • Developing Natural Language Processing (NLP) data pipelines for text analytics (e.g. sentiment analysis on social media posts & reviews to predicts how happy customers are)
  • Developing Machine Learning (ML) data pipelines for predictive analytics (e.g. predict which employees are more likely to quit, so we can prevent that from happening)