Increase Agility and Productivity with Unified Analytics

Traditional data teams work in silos and have to integrate many complicated tools to ingest and explore data, train machine learning models, and deploy into production. Separate workflows add complexity, create inefficiencies and limit innovation. 

In this whitepaper, learn how:

  • Data engineers, data scientists and analysts collaborate across their individual workflows in a production data pipeline.
  • Workflow orchestration results in a unified experience and eliminates custom, resource-heavy, one-off solutions.
  • Brands like Nielsen, and HP unify big data analytics to increase productivity and agility.

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