Derived Data Contracts: Make Ownership, Cost and Rollback Explicit

カートのアイテムが多すぎます

ご購入は五十タイトルがカートに入っている場合のみです。

カートに追加できませんでした。

しばらく経ってから再度お試しください。

ウィッシュリストに追加できませんでした。

しばらく経ってから再度お試しください。

ほしい物リストの削除に失敗しました。

しばらく経ってから再度お試しください。

ポッドキャストのフォローに失敗しました

ポッドキャストのフォロー解除に失敗しました

Derived Data Contracts: Make Ownership, Cost and Rollback Explicit

無料で聴く

ポッドキャストの詳細を見る

概要

Organizations treat derived data—ad‑hoc dashboards, denormalized tables, ML features—as ‘free’ insight until a surprise bill, outage, or compliance question forces firefighting. This episode opens with a concrete vignette: a VP of Sales wakes to a $30,000 monthly cloud bill from the “Regional Sales Rollup” report and demands answers; Rina Patel, a Senior Data Engineer, explains how missing ownership and no rollback plan turned a 2‑hour analysis into months of toil. Mirko and guest analytics lead Carlos Mendoza present a one‑page Derived Data Contract (read verbatim on-air and available in show notes) and argue the counterintuitive claim: treat derived datasets as reversible products, not artifacts. Listeners get a live-filled example, three low‑friction week‑long rituals, a 7‑day freshness-and-cost audit, and a measurable pilot goal (catalog five derived datasets and cut surprise‑cost incidents by 50% in 30 days). CTA: copy the template from the notes, run the 7‑day audit, pilot one contract, and leave a review.

Become a supporter of this podcast: https://www.spreaker.com/podcast/business-it-it-business--6867401/support.

To continue the conversation, follow Mirko Peters on LinkedIn, where more insights and real-world examples are shared from both business and IT perspectives.

まだレビューはありません