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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?
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