Date Pipelines: How DevOps Has Improved Data Science

Life science executives and their teams are only beginning to scratch the surface on the full extent of the competitive advantage an optimized Bio-IT infrastructure adds to research workflows.

About This Guide:
The cost-based approach to research IT is fading fast. It’s not enough to implement enterprise resource planning systems and untangle siloed infrastructure. IT teams need to develop and implement advanced analytics, automate time-consuming processes, and build cloud-enabled workflows that help researchers achieve outcomes.    

In this guide, learn how a platform DevOps model continues to make product and platform-centric technology organization possible, reinventing research delivery with agile workflows based on optimized data pipelines.

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