Autonomous Data Pipelines: Motivation, Approach and Efficacy

This free 1-hour webinar from GigaOm Research brings together experts in data management, featuring GigaOm analyst Andrew Brust.

For decades now, data pipelines have been authored manually, either through hand-coding or interactive visual design. This has resulted in operational brittleness and a disproportionate amount of resources spent on preparing data versus analyzing it.

In this free 1-hour webinar, GigaOm Research Analyst Andrew Brust covers:

• Why automation makes pipelines more durable
• Approaches for combining automation and human data engineering talent
• How domain expertise can be machine-implemented
• The importance of automating repeated pipeline tasks, making change suggestions, and optimizing data quality

Why Attend

You’ll learn answers to important questions like :

• Can we use AI to create an autonomous data pipelining experience?
• If we can achieve this, how will autonomous pipelines impact business and engineering teams?
• What do autonomous pipelines mean for what’s possible in greenfield projects?
• How will autonomous data integration scale data engineering productivity?
• What aspects of autonomous data pipelines are being automated?

Request Free!