#Data Infrastructure

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#Data Infrastructure Reel by @tom.developer (verified account) - Yesterday I visited one of the biggest data centers in Europe! 🌍 Microsoft's Dublin data center powers cloud services and AI services for businesses
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@tom.developer
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! ❤️
#Data Infrastructure Reel by @james_stew (verified account) - Googles new data centre in the UK would be as bad for the planet as AN AIRPORT! #ai #datacenter
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@james_stew
Googles new data centre in the UK would be as bad for the planet as AN AIRPORT! #ai #datacenter
#Data Infrastructure Reel by @pascal_bornet - 📊 Everyone wants to talk about AI → But very few want to talk about data I see it constantly - visionary AI strategies and bold promises slowed down
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@pascal_bornet
📊 Everyone wants to talk about AI → But very few want to talk about data I see it constantly — visionary AI strategies and bold promises slowed down by one silent obstacle: data unpreparedness. It’s rarely the model that fails first — it’s the foundation. Here’s what usually happens: → Contracts stored across disconnected systems → Servers unable to handle modern workloads → Undefined standards (like what “client” even means) → Invoice data missing line-level details → Critical information trapped in paper or inboxes AI doesn’t fix chaos. It amplifies it. If humans can’t access your data, AI won’t either. That’s why every successful AI transformation starts with data readiness, not data ambition. So — is your organization truly ready for AI, or still waiting for your data to catch up? #AI #Data #Technology #Innovation #DigitalTransformation #Leadership #Strategy
#Data Infrastructure Reel by @mrk_talkstech (verified account) - Data Engineers work tirelessly behind the scenes to build the infrastructure for data projects. However, their efforts often remain invisible to busin
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@mrk_talkstech
Data Engineers work tirelessly behind the scenes to build the infrastructure for data projects. However, their efforts often remain invisible to business users, who focus on the end product and reward Data Scientists and Analysts with more recognition! #dataengineering #azure #pyspark #dataengineer #azuredataengineer #data #aws #gcp #azuredatabricks #dataanalyst #datascientist #datascience
#Data Infrastructure Reel by @cloudcity.center - Inside a Real Data Center Behind every website, app, and transaction there is a silent world of racks, cables, power, and cooling. This is where upti
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@cloudcity.center
Inside a Real Data Center Behind every website, app, and transaction there is a silent world of racks, cables, power, and cooling. This is where uptime is engineered, failures are prevented, and stability is built day by day. Clean infrastructure, strict processes, and attention to detail are what keep everything running 24/7. ⸻ Внутри настоящего дата-центра За каждым сайтом, приложением и транзакцией стоит тихий мир стоек, кабелей, питания и охлаждения. Именно здесь проектируется бесперебойная работа, предотвращаются сбои и создаётся стабильность. Чистая инфраструктура, строгие процессы и внимание к деталям — основа работы 24/7. #datacenter #serverroom #itlife #infrastructure #sysadmin #networking #servers #cloudcomputing #backend #techlife #engineering #itoperations #uptime #datacenterlife
#Data Infrastructure Reel by @businessinsider (verified account) - Find out where #datacenters are in your state, and what they mean for your bills, water, and environment #AI
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@businessinsider
Find out where #datacenters are in your state, and what they mean for your bills, water, and environment #AI
#Data Infrastructure Reel by @atefi.ch (verified account) - Major Homelab Upgrade to 100Gbps The backbone of my homelab is now running at 100 Gbps over QSFP28. The Mikrotik router, two D-Link datacenter switch
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@atefi.ch
Major Homelab Upgrade to 100Gbps The backbone of my homelab is now running at 100 Gbps over QSFP28. The Mikrotik router, two D-Link datacenter switches, and my main server are all upgraded to full 100 Gb connectivity. Alongside the core network, I also deployed a second 20 Gb network using Zyxel hardware for isolated traffic. Core design highlights: • 100Gb QSFP28 backbone • VLAN segmentation for Lab / Storage / Management • Independent 20Gb network for security and routing scenarios Hardware Used • Mikrotik ROSE Data Server (RDS) – main router/firewall handling routing, BGP, and L3 • Zyxel USG 700H – security gateway for the secondary network, VPN & UTM • D-Link DXS-3610-54S/SI/E – 10/25/100Gb L3 switch for Core/Distribution • HPE ProLiant ML350 Gen11 with 4× NVIDIA SFP28 – server with four 25 Gb links (LAG/LACP for 100 Gb aggregates) #homelab #networking #100GbE #QSFP28 #server
#Data Infrastructure Reel by @jessramosdata (verified account) - Comment "project" for my full video that breaks each of these projects down in detail with examples from my own work. If you're using the Titanic, Ir
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@jessramosdata
Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!
#Data Infrastructure Reel by @networks.baseline (verified account) - Datacenter Rack Architecture Follow & subscribe @networks.baseline ❤️❤️ #networking #networkmarketing #network #education #fblifestyle
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@networks.baseline
Datacenter Rack Architecture Follow & subscribe @networks.baseline ❤️❤️ #networking #networkmarketing #network #education #fblifestyle
#Data Infrastructure Reel by @hardwareplug - 8 x GPU Ai Server 🤖 Nvidia A100 💥 #HardwarePlug 🔌 🔌 🔌 #ai #artificialintelligence #aiartist #datacenter #datacenters #it #crypto #armenian
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@hardwareplug
8 x GPU Ai Server 🤖 Nvidia A100 💥 #HardwarePlug 🔌 🔌 🔌 #ai #artificialintelligence #aiartist #datacenter #datacenters #it #crypto #armenian #managedserviceprovider #tech
#Data Infrastructure Reel by @kreggscode (verified account) - Visualizing the architecture of intelligence. 🕸️✨ Every neural network is built on the same fundamental concept: Layers. 🟡 Input Layer: Receives the
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@kreggscode
Visualizing the architecture of intelligence. 🕸️✨ Every neural network is built on the same fundamental concept: Layers. 🟡 Input Layer: Receives the raw data (pixels, text, numbers). 🟢 Hidden Layers: Where the magic happens—processing features and finding patterns. 🟠 Output Layer: Delivers the final prediction or decision. From the simple Perceptron to the complex loops of an RNN, these structures are the blueprints for how machines learn. 📐 #NeuralNetworks #MachineLearning #DeepLearning #DataScience #AI #Education #Visualized

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