#Data Engineering Cloud Warehousing

Yesterday I visited one of the biggest data centers in Europe! 🌍 Microsoft’s Dublin data center powers cloud services and AI services for businesses, governments and organisations across Ireland, the UK and much of Northern Europe. Hyperscale data centers like this one can host tens of thousands, and sometimes even hundreds of thousands of servers! What I found insane wasn’t actually the number of servers, it was the huge amount of infrastructure (power, cooling, etc) that helps to keep this data center running. Thanks to @microsoft for inviting me on the tour! ❤️

Warehouses are complex ecosystems & optimizing their operations is a daunting task. That’s why @kiongroup and @accenture are turning to Mega, an #NVIDIAOmniverse Blueprint that enables the testing, simulation and optimization of multi-agent robot fleets in a #DigitalTwin environment. Watch the #CES2025 demo now. Link in bio.

Cloud Engineers vs Cloud Architects Link in bio for hands-on projects (beginner friendly) to get access. #cloudengineer #CloudArchitect

🌐 Want to become a Cloud Engineer? 🚀 Day 2 is all about networking—the foundation of cloud infrastructure! Now that you know what you need to focus on, here are a few resources to get you started: 📚 Computer Networking: A Top-Down Approach by Kurose and Ross [https://a.co/d/4Sou5J2] is a must-read to build your networking fundamentals. 💻 Networking commands you should know: ping: Check if a host is reachable. traceroute: See the path data takes across a network. netstat: Display network connections and routing tables. route: View or modify the routing table. dig/nslookup: Retrieve DNS information. tcpdump: Capture and analyze network traffic. tcpflow: Inspect the network flow. These tools will help you sharpen your troubleshooting skills and prepare for cloud engineering interviews. Let’s get started! 💡 #CloudEngineer #NetworkingSkills #TechWithKriti #NetworkingBasics #CloudSkills #WomenInTech #TechCareers #CloudComputing #AWSJourney #TechTok #CloudCertifications #TechCommunity #DevOps #NetworkingFundamentals #ITSkills #CyberSecurity #NetworkTroubleshooting #TechEducation #CloudArchitect #EngineerLife #AWSCommunity #AzureLearning #techtokwithkriti

Inside Google Data Center #TechInnovation #GoogleCloud #GoogleDataCenter #DataCenterTour #CloudInfrastructure #ServerCooling #LiquidCooling #HighPerformanceComputing #AIInfrastructure #TechInside #FutureOfTech #GreenDataCenter #EdgeComputing #CyberSecurity #TechTour #GoogleCloud #HyperscaleDataCenter

Data Center..! #justdoit #loveit

I went to a data center with over 90,000+ servers to see how the cloud works. And I was genuinely surprised. Here's some of the highlights: #technology #programming #code #datacenter

When we think of “the cloud,” we picture something virtual, but it’s actually thousands of servers and cables that need massive amounts of energy to stay cool. @nikolajwilliamcw visits a data center that needs as much energy as a small city. Watch the full episode of An Optimist’s Guide to the Planet by tapping the link in bio.

We took a look inside a #datacenter in Wyoming. #AI #energy #sustainability Learn more about the secretive world of America's AI data centers — see the full video at the link in our bio.

Comment roadmap to get sent my free and complete data engineering roadmap!

What's the difference between database and data warehouse? Find out the full version in our video linked in bio. ______________ #AltexSoft_video #data #dataengineering #database #datawarehouse #dataengineer #warehouse #datascience #AI #datamanagement

AI has outgrown traditional cloud infrastructure. A new category is emerging: NeoClouds. 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 data centers were designed for general workloads: Web apps, Databases, Storage, Virtual machines. AI workloads are different. Training frontier models requires tightly coupled GPUs, extreme networking bandwidth, and sustained high-density power delivery. NVIDIA CEO Jensen Huang calls these environments 𝗔𝗜 𝗙𝗮𝗰𝘁𝗼𝗿𝗶𝗲𝘀.Facilities where compute and data go in, and trained intelligence comes out. NeoClouds are the operators building them like CoreWeave, Lambda, Nebius. They were purpose-built for GPU-intensive AI training from day 1, not retrofitted from general cloud architecture. 𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗡𝗲𝗼𝗖𝗹𝗼𝘂𝗱𝘀 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 ☑️ Massive GPU clusters functioning as a single supercomputer ☑️ Bare-metal performance with minimal abstraction layers ☑️ Ultra-low latency networking for distributed training ☑️ Advanced liquid cooling to sustain high thermal loads For large-scale model training, this changes economics and timelines dramatically. 🤝 Hyperscalers are not disappearing. They are partnering. Building AI-scale infrastructure takes years, and model demand is compounding now. We are seeing the specialization of cloud infrastructure in real time. Understanding where your workload fits is no longer optional. It affects cost, performance, and competitive advantage. ____ 👋 Hi, I’m Viktoria, Principal AI Evangelist at Databricks. I make complex AI accessible. Follow for more! #AIExplained #NeoCloud #AIFactory #CloudComputing #LearnAI