Build Data Lake Pipelines at Scale – Using only SQL

Building data pipelines for cloud data lakes is fraught with complexity as organizations aspire to analyze every data type, especially semi-structured event data. Pipelines have become painful and tedious for data engineers to develop and maintain in the face of accelerating scale and frequent change cycles.

This talk will cover:

  • The pipeline operations work that burdens data engineering including orchestration, data lake table management and infrastructure management.
  • Upsolver’s declarative approach, where you define pipelines using only SQL transformations on raw data. All of the mundane engineering work is automated.
  • High-scale pipeline examples across several industries and use cases.

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