WEBINAR | October 28 @ 12pm CDT | Autonomous Data Pipelines: Motivation, Approach and Efficacy

by Caroline Maier

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October 18, 2021 4:52am


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. Data Pipeline Automation opens numerous possibilities for durability, scalability and performance of data teams and their data architectures. Join us for this live webinar as we explore...

  • 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

October 28 @ 12pm CDT | GigaOm & Equalum
Autonomous Data Pipelines: Motivation, Approach and Efficacy

We will also discuss the following:

  • 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?


Nir Livneh | President & Co-Founder | Equalum

Nir is a thought leader with over 20 years of experience in Big Data architecture and performance. He led product management at Quest Software (Acquired by Dell) for all Big Data products. Nir also led Big Data architecture projects at the Israeli Military Intelligence unit (Equivalent to NSA). He is currently a member of the Forbes Technology Council.

Andrew Brust | Analyst, Gigaom Research

Autonomous Data Pipelines: Motivation, Approach and Efficacy for Next-Gen Data Integration

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