Session Outline

DataOps is the transformation of data processing from a craft with manual processes to an automated data factory. Lean principles, which have proven successful in manufacturing, are equally applicable for data factories. We will describe how lean principles can be applied in practice for successful data processing.

Key Takeaways

  • Data engineering is the craft of building resilient data factories.
  • DataOps is lean thinking applied to data processing.
  • Identifying and eliminating waste is a key element for successful DataOps.
  • The most common forms of waste that prevent DataOps success.

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Bio

Lars Albertsson – Founder | Scling

Lars Albertsson is the founder of Scling, providing data-value-as-a-service – customer-adapted data engineering, analytics, and data science. He is a frequent conference speaker on big data technology, privacy, and data strategy. Before founding Scling, Lars has worked at Google, Spotify, Schibsted, and as an independent consultant, helping organisations create value with data processing technology. As independent, his clients range from startups to large banks.

February 11 @ 09:35
09:35 — 10:10 (35′)

Day 3 | 11th of February

Lars Albertsson – Founder | Scling