It's almost 2025 and data teams are still stuck in the 'Pre-CI' era

Data teams at tradeshows and conferences frequently express concerns about not being ready for Continuous Integration (CI), arguing that their pipelines are too small or that leadership does not see the necessity. This hesitation mirrors the early days of software engineering, where CI was not initially prioritized until the consequences of ignoring it became too costly to overlook. Many data teams believe CI is only for larger organizations or dismiss it because nothing appears broken. However, avoiding CI leads to long-term consequences, as bugs often manifest later in production, causing broken dashboards, unreliable metrics, and a loss of trust in data, ultimately forcing engineers to focus on fixing issues rather than developing new products.

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