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Victor Buzy shared thisDP-600 in the pocket ! 😊 Very happy to have earned the Microsoft Certified: Fabric Analytics Engineer Associate certification!Microsoft Certified: Fabric Analytics Engineer AssociateMicrosoft Certified: Fabric Analytics Engineer Associate
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Victor Buzy shared thisRenewed! ✅ I’ve officially extended my PL-300 Power BI Data Analyst certification for another year. Excited to keep turning data into clear insights and better decisions. #PowerBI #PL300 #DataVisualization #Analytics #Microsoft
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Victor Buzy shared thishttps://bit.ly/31ywuaLL'entrepreneuriat au service de l'urgence climatique.L'entrepreneuriat au service de l'urgence climatique.
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Victor Buzy liked thisVictor Buzy liked this+50 freelances IT réunis pour en découdre (prospection, apport d'affaires, fiscalité, networking, ...) Petit retour en mode vlog sur une événement qui a eu lieu il y a quelques mois. https://lnkd.in/edGMPaDF PS : Pour ceux qui sont friands de rencontre physique, restez connectés ... 👀
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Victor Buzy liked thisVictor Buzy liked thisFrom degraded land to thriving forest 🌳 This was Ecosia’s very first planting site in Brazil. What was once degraded land is now regenerating into a young forest — 17,986 trees planted together with The Nature Conservancy Brasil. Proof that your searches can help bring forests back 💚 #reforestation #brazil #ecosia #treeplanting #restoration
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Victor Buzy liked thisVictor Buzy liked thisRetour d'accompagnement de Clément, data engineer (100% remote) "J'ai jamais trouvé un coaching comme le tien en termes de suivi, en termes de qualité de formation" Pour faire comme lui, rdv ici : https://lnkd.in/etkNKZNg azmk
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Victor Buzy liked thisVictor Buzy liked thisThis is Ecosia’s very first planting site — 17,986 trees later 🌳 Your searches did this. 12 years ago, this hillside in the Atlantic Forest in Brazil was degraded land. Today, it’s growing back into forest, thanks to 17,986 trees planted together with The Nature Conservancy Brasil 💚 Get the app now. The more people that use Ecosia, the more forests we can restore 🌳 #beforeandafter #reforestation #brazil #climateaction #ecosia
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Victor Buzy liked thisVictor Buzy liked thisData Engineer freelance en fin de mission, avec rien pour enchaîner. Résultat -> 0 intercontrat (et premier apport d'affaires signé en 2 mois) Pour faire comme Marwa, rdv ici : https://lnkd.in/eiwuyz_V Certains l'ont peut être déjà vu passer sur insta 👀
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Victor Buzy liked thisVictor Buzy liked this🚨 Il reste encore une (1) place pour notre événement de samedi 🚨 Programme de la journée 👇 Pour rappel, ce samedi on organise un événement dédiés aux freelances IT à Paris, en format hot seat* Actuellement on est à 19/20 places réservées. Les profils qui seront présents : - experts data (data architect, data eng, data analyst) - profils infra/devops/cloud - Cyber (archi, GRC) - et d'autres profils IT Et niveau problématiques, a priori ça va parler : - automatisation de l'acquisition client - scaler avec l'apport d'affaires - négo de full remote / négo de TJM - enchaîner rapidement après une fin de mission Toute l'équipe sera présente pour apporter des pistes (ex-commerciaux ESN, ex-recruteurs IT, ex-freelances IT & apporteurs d'affaires) -- Le programme est simple : - matin : petit déj, networking, hot seat - midi : dej tous ensemble - après midi : suite des hot seat, bilan, re-networking Pour s'inscrire ça se passe ici : https://lnkd.in/e6A9HBPn *chacun vient avec un problématique, et tous les participants apportent leur vision et des pistes de résolution.
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Victor Buzy liked thisVictor Buzy liked thisRetour d'accompagnement d'Alexandre, AI Engineer (remote) Pour faire comme lui, rdv ici : https://lnkd.in/efAcb38W azmk
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Victor Buzy liked thisVictor Buzy liked thisThanks for having me Vantaca for Coast 2 Coast in Denver 🖤🌨️ Was able to get #VantacaCertified ✅ Also, got to see my favorite Colorado ladies and celebrate Cinco de Mayo! 🌮🍹
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🔍 Fabric & Databricks: Better Together — A Modern Data Platform Strategy Microsoft Fabric and Databricks are reshaping how organizations build, scale, and operationalize modern data platforms. The number one question we hear is: How do they actually work together — and where should you start? Join William Richard, Ian Dicker, and Brendon Collins for a webinar that explores how Microsoft Fabric and Databricks complement each other across analytics, AI, and data engineering — and how leading organizations are using both to move faster, reduce complexity, and drive real business outcomes. ✅ What you’ll walk away with: -Clarity on when to use Fabric, when to use Databricks, and when to use both -A modern reference architecture for analytics + AI -Guidance for organizations evaluating, modernizing, or scaling their data platform If you’re responsible for data strategy, analytics, or AI enablement — this session is for you. 👉 Save your spot: https://lnkd.in/df23gstC #MicrosoftFabric #Databricks #ModernDataPlatform #DataStrategy #Analytics #AI #SpyglassMTG
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🚀 I just launched a new course to help you pass the Databricks Generative AI Engineer Associate certification — and go beyond just passing the exam. This course is built for developers (software engineers, data scientists, data engineers) who have already built POCs with LangChain, LlamaIndex, or CrewAI and want to take that work all the way to production. Here's what we cover: - Vector Search — semantic retrieval done right - Model Serving — real-time LLM deployment - MLflow — managing the full model lifecycle - Unity Catalog — data governance at scale - RAG pipelines & LLM chains — end to end, in production All examples run on the Databricks Free Edition — no paid cluster needed. Theory + hands-on workshops + a GitHub project to keep as a reference. If you're ready to validate your GenAI production skills on Databricks, this course is for you. 👇 Link in the comments — happy learning! #Databricks #GenerativeAI #LLM #RAG #MLflow #DataEngineering #MachineLearning #AIEngineering #Udemy #LangChain #DataScience #Certification
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Most IDEs add AI . DuckCode adds intelligence !! We’re the first IDE platform to support Snowflake Cortex AI directly inside the development workflow — not as a chatbot, but as a context-aware, warehouse-native layer. That means: • Column-level lineage while you type • Downstream dashboard impact detection • PII exposure alerts before commit • Snowflake cost preview before dbt run • Contract enforcement in the IDE All grounded in real Snowflake metadata. All working with your existing Cortex or LLM subscriptions. Shift-left intelligence for Snowflake teams. Try the free VS Code extension. #Snowflake #SnowflakeCortex #DataEngineering #dbt #ShiftLeft #DataGovernance
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Most Databricks teams can see their costs. Explaining them is a different problem entirely. Visibility is having the numbers — DBU reports, cloud invoices, usage dashboards. Most teams have all of that. Explainability is being able to answer the questions those numbers raise: → Which job drove last month's spike? → Which team owns the spend? → Did that cluster optimisation actually reduce total cost — or just shift it from the Databricks bill to the cloud bill? Neither billing system answers those questions on its own. And bridging them takes more than a notebook. Our latest article breaks down exactly why — the structural reason the two systems can't reconcile themselves, and why having the data is not the same as having the answer. Full article linked in the comments → #Databricks #FinOps #DataEngineering #CostObservability #CloudCost #DataPlatform #lumin8
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We took the most-upvoted questions from r/dataengineering and brought them to 4 senior data engineers with 40+ years of combined experience. Benjamin Rogojan , Julien Hurault, Mehdi Ouazza, and Simon Späti answered 10 questions about the real challenges of data engineering work. Interview prep. Data quality. Schema changes. Real-time dashboards. Taking over abandoned data stacks. Cloud costs. Swipe through for all 10 questions. Full answers here: https://lnkd.in/gBJg-wTX
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Upskill Academy
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Most SQL environments don’t struggle because of the database itself. They struggle because of everything built around it over the years as technical debt. Your team shouldn’t need 5 different tools just to answer one business question. Disconnected reporting layers, duplicate pipelines, manual governance process and growing maintenance overheads turn data operations into a bottleneck. The real cost isn’t just infrastructure. It’s: • Engineering time spent maintaining fragmented systems • Slow reporting cycles delaying business decisions • Governance and compliance gaps across tools • Increasing complexity as data scales Microsoft Fabric changes this approach by bringing data engineering, warehousing, analytics, governance, and BI into a unified platform. Instead of managing disconnected ecosystems, teams can focus on delivering insights faster and driving measurable business outcomes. At WaferWire Cloud Technologies, we help organizations assess their current SQL landscape, identify modernization opportunities, and build a practical roadmap for modernization with Fabric. Contact us: https://lnkd.in/gcb7pJB2 #DataModernization #MicrosoftFabric #SQLServer #DigitalTransformation #WCT
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