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آخر تحديث: منذ 6 ثواني

Compliance-By-Construction: The Next Discipline In Data Engineering

تكنولوجيا
Forbes
2026/06/04 - 14:00 515 مشاهدة
تحليل ذكي | AI Editorial Analysis

InnovationCompliance-By-Construction: The Next Discipline In Data EngineeringByVivek Venkatesan,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members,...

Opinions expressed are those of the author.

| Membership (fee-based)Jun 04, 2026, 10:00am EDTVivek Venkatesan leads data engineering at a Fortune 500 firm, focused on AI, cloud platforms and large-scale analytics.

هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.

InnovationCompliance-By-Construction: The Next Discipline In Data EngineeringByVivek Venkatesan,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 04, 2026, 10:00am EDTVivek Venkatesan leads data engineering at a Fortune 500 firm, focused on AI, cloud platforms and large-scale analytics. getty​​Audit questions rarely start with panic. They start with something simple.Can you show where this data came from? Who had access to it? What changed between the decision and now? Can you reconstruct the exact dataset, logic and pipeline behavior from that point in time?On paper, the answers usually exist. There are policies, controls and tracking spreadsheets. But inside the engineering team, the harder question sits underneath: can the system itself prove any of it?The gap between what the policy says and what the platform can demonstrate has become one of the biggest risks in regulated data engineering. Financial services, healthcare and insurance firms have spent years building compliance processes around their data platforms. Reviews happen. Exceptions are tracked. Audits are supported. The pipelines themselves remain too dependent on human interpretation and after-the-fact reconstruction.Why Current Model BreaksPolicy-led compliance worked when data systems were smaller and slower. A handful of core databases, a known set of batch jobs and a stable reporting environment could be governed through documentation and periodic review.Modern enterprise platforms do not resemble this. They include cloud storage, streaming pipelines, API-based ingestion, frequent schema changes and downstream analytics consumed by many teams. Data moves faster than approval cycles. Schemas change faster than documentation. Access patterns shift faster than quarterly reviews.The problem is not a shortage of policies. It is that policies live in docum...
المصدر: Forbes | Source: Forbes

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن تكنولوجيا | More on Technology

هذا الخبر ضمن تغطية خبر لقسم تكنولوجيا. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: Forbes. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of Technology. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: Forbes. Tags: data engineering, AI, compliance.

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