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Automation First: How Metadata-Driven Data Engineering Is Reshaping Analytics

تكنولوجيا
Forbes
2026/05/12 - 11:00 517 مشاهدة
تحليل ذكي | AI Editorial Analysis

InnovationAutomation First: How Metadata-Driven Data Engineering Is Reshaping AnalyticsByPankaj Gupta,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils mem...

Opinions expressed are those of the author.

| Membership (fee-based)May 12, 2026, 07:00am EDTPankaj Gupta is a manager of data engineering.

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

InnovationAutomation First: How Metadata-Driven Data Engineering Is Reshaping AnalyticsByPankaj Gupta,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)May 12, 2026, 07:00am EDTPankaj Gupta is a manager of data engineering. gettyIn today’s digital economy, data is everywhere. Organizations hold massive amounts of information spread across dozens of systems, yet they often lack the insights needed to take meaningful action. Many companies are investing millions in building platforms designed to simplify engineers’ work or, in some cases, to minimize the need for traditional data engineers altogether, enabling platform engineers and business teams such as analysts to take the lead.Why do we need such platforms? Because too many skilled engineers remain stuck in manual, repetitive work that consumes time, but delivers little strategic impact.The path forward isn’t about more tools or more people. Rather, it’s about a mindset shift toward automation first. This shift is powered by metadata-driven data engineering, which is transforming the way enterprises govern, manage and scale analytics at speed.The Breaking Point Of Legacy Data EngineeringTraditional data engineering relies heavily on manual coding and ETL tool pipelines. Even small changes in source systems, such as a new field addition, can break processes, forcing engineers into repetitive rework which requires an additional coding, testing and production deployment lifecycle.With speed to market defining success, this model cannot consistently keep up.Why Metadata-Driven Automation MattersMetadata is simply "data about data." It tells you where information comes from, how it's structured and how it should be used. When automation is built on top of this foundation, the benefits compound across every dimension of the engineering lifecycle.As agility impro...
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: automation, data engineering, analytics.

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