How Workflow Orchestration Simplifies Building Apache Spark™ Pipelines
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 eBook, 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 Hotels.com and HP unify big data analytics to increase productivity and agility.
Download the free whitepaper, How Workflow Orchestration Simplifies Building Apache Spark™ Pipelines, to learn more.