Turning Reads into a Performance Advantage in Decentralized Storage Reads are one of the most underestimated challenges in decentralized storage, yet they define real user experience. Unlike writes, reads demand high bandwidth, low latency, and consistent availability. They happen constantly, at scale, and under real-time expectations. That makes them difficult not only to deliver efficiently, but also to price fairly without compromising performance or sustainability. Instead of treating reads as an afterthought, @shelbyserves takes a deliberate, performance-driven approach. By introducing a paid read model, the network aligns incentives between users, infrastructure providers, and developers, ensuring that resources are allocated efficiently while maintaining predictable, high-quality access to data. This model does more than solve a technical bottleneck. It creates a sustainable framework where: • Performance is rewarded • Network resources are used responsibly • Builders can rely on consistent data access • Users benefit from transparent and fair pricing Decentralized storage isn’t just about storing data, it’s about delivering it reliably when it matters most. By embracing the complexity of reads rather than avoiding it, Shelby moves the ecosystem closer to scalable, production-grade infrastructure for the next generation of applications. #DecentralizedStorage #Web3Tech #ShelbyNetwork #DataPerformance #BlockchainInnovation #Aptos

Don't miss DDN at Machines Can Think this week! 🎉 Check out our session "Artificial Intelligence in Action: From Compute to Solution." Expect practical ways to operationalize AI Infrastructure across architecture, processes, and governance with sector case studies you can use now. Get the details: 🗓️ January 27 ⏰ 11:00 AM Swing by our booth to meet experts: Atul Vidwansa Ankur Arora Syed Wasiq Iqbal Bhagyaraju Kasina Junaid Khalid #MachinesCanThink #AIInfrastructure #DataPerformance

How OPNGraph Speeds Up Data-Heavy Apps @IOPn_io Big data is not slow. Moving it is. OPNGraph keeps related data close, so queries travel less and finish faster. It stores your world as a graph: nodes are things, edges are links. Queries follow links directly, not heavy joins. Less shuffling - more answers. Smart indexes and caching cut disk trips. Parallel traversals use all cores. Streaming updates change only what moved, so freshness stays high without reprocessing everything. Result: faster recommendations, fraud checks, and route planning in minutes, not hours. Want a quick speed check on your app? Reply with one bottleneck and we will share a graph-first approach. #DataPerformance #GraphAnalytics

What makes modern technology respond almost instantly? This segment explores how Micron's memory and storage innovations — built for speed, scale and energy efficiency — are fueling the intelligence behind the AI revolution, turning data into decisions and potential into performance. If you’ve ever wondered how data turns into intelligence, this episode offers insights into how data is being harnessed to unlock productivity and innovation across Micron. Premieres 29th Nov | 3:30 PM | CNBC -TV18 #micron #ai #memorytech #techinsights #dataperformance #cnbctv18

Cloud vs On-Prem Storage: The Real Cost per IOP in 2025 AI, analytics, and data-intensive workloads rely on one critical factor: IOPS. But how much does that performance actually cost? In our latest analysis, we compared the cost per IOP across AWS, Microsoft Azure, and 45Drives on-prem systems — the Storinator XL60 and Stornado F16. The results highlight how performance and value stack up between cloud and on-prem storage. 👉🏼Read the full breakdown here: loom.ly/couIkss #45Drives #DataStorage #OnPremVsCloud #IOPS #CloudComputing #OpenStorage #Storinator #Stornado #TechInsights #DataPerformance #EnterpriseStorage #Infrastructure

An independent test measured the download (GET) performance for a user in Sydney 🇦🇺 accessing a 200MB file stored in a European data center 🇪🇺. The results are clear. 📊 Find out more in the full @storj Object Storage Performance Analysis Report 📖👉 hubs.li/Q03P2q4B0 #ObjectStorage #DataPerformance #CloudStorage #TechInsights

Boost your data performance without breaking the bank! Download our FREE guide and unlock faster speeds, lower costs & optimal efficiency. open-e.com/r/y84n/ #DataPerformance #StorageOptimization #TechTips

⚡ Extracts = instant & stable. ⏳ Live connections = lag & interruptions. Choose performance in Tableau 2025 → landing.packtpub.com/learnin…  #GenBI #Tableau2025 #DataPerformance #BIPro

New Lightning Benchmark Drop | DADOS Technology New Lightning Benchmark Drop 5.04 ms vs. 25.11 ms May 2025: 25.11 ms median Now: 5.04 ms median ~5× faster for massive-scale SQL retrieval World’s Fastest Agentic Retrieval dadostech.com #AI #AgenticAI #DataPerformance #Benchmark #LightningPlus #EdgeAI #AIDev

#SDWANs and #WANOptimisation are great #technologies but they won’t necessarily improve #network and #dataperformance bit.ly/4o0TxnM #Security #WAN #WANAcceleration #Cybercrime #DataSecurity #Ai #MachineLearning #Phishing

🚨 AI inferencing isn’t an afterthought — it’s the front line. In his latest piece for Forbes, DDN CTO Sven Oehme breaks down five costly myths about AI inference that are quietly draining performance, budget, and business value. From underpowered storage to misaligned cloud strategies, most organizations are architecting for training — and ignoring the phase where AI actually meets the real world. 💡 The takeaway? Inference happens millions of times a day. If your infrastructure isn’t built for that scale, your AI strategy is already behind. 🧠 Read the full article for practical insights on: - Optimizing GPU and storage for real-time AI - Architecting edge and hybrid deployments - Avoiding technical debt before it’s too late 🔗 Read: forbes.com/councils/forbeste… #AIInfrastructure #InferencingMatters #EdgeAI #HybridAI #DataPerformance #DDN #ForbesTechCouncil #AIinProduction #RealTimeAI

The investors behind NVIDIA, Meta & Tesla just dropped $100M on @HammerspaceData. Why? Because AI isn’t waiting—and we built the fastest data platform on Earth. Tier 0 speed. Cloud or on-prem. No copies. No delays. #AI #GPU #Tier0 #VentureCapital #DataPerformance #Hammerspace

Can PostgreSQL queries trace themselves, or do they also need caffeine like I do? Source: devhubby.com/thread/how-to-t… #TechTips #OpenSource #PostgreSQL #DataPerformance #query #sql

The Extension Ecosystem Summit (10/22), part of @pgconfeu in Athens, focuses on expanding PostgreSQL's capabilities through its powerful extension ecosystem. The event spotlights innovations like TimescaleDB, pgvectorscale, pgai, and more. 📢 We'll be there to discuss how these extensions drive advancements in IoT, AI, and data analysis. It's a must-attend event for database professionals looking to enhance PostgreSQL’s functionality and performance with cutting-edge tools. 👇 There are only a few tickets left. Click here to reserve a spot now: eventbrite.com/e/extension-e… #PostgreSQL #DatabaseExtensions #TimescaleDB #pgvector #AI #IoT #DataAnalysis #OpenSource #pgconfEU #Database #TechSummit #CloudDatabase #DataPerformance #PostgresExtensions #Postgres

As a data analyst, ensuring optimal performance of SQL queries is a must and generally, whenever a SQL query is slow, subquery is the reason for that. Also, how you implement subqueries is also important. If you are using it to access small amount of data then it is fine but if you need to extract larger amount, then it can slow down the performance. Also, if you use correlated subqueries, then your SQL query will be very slow if it is not implemented with caution. Let's understand correlated subqueries in easy language: 𝗖𝗼𝗿𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝘀𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀: When your inner query is connected with outer query and needs result/data from the outer query to perform operations, then it is known as correlated subqueries. Generally, when you try to extract mutliple rows using correlated subqueries, it becomes really slow, thus SQL query slows down. The solution for this is really simple, Use CTEs #DataAnalytics #SQLPerformance #CTE #Subqueries #SQLQueries #CorrelatedSubqueries #DataOptimization #SQLBestPractices #DatabaseOptimization #QueryOptimization #DataAnalyst #DataEfficiency #DataQuerying #SQLTips #DataPerformance #SQLSkills #DataJobsUS #DataJobsUK #DataJobsEurope #TechSkills #DatabaseManagement #DataCareers #DataCommunity #DataInsights #SQLExperts #AnalyticsTools #DataDriven #UKTech #UKDataJobs #USTechJobs #USDataAnalyst #EuropeTech #EuropeDataJobs #UKAnalytics #USAnalytics #DataJobsEurope #TechCareersUK #DataCareersUK #DataCareersUS #TechCareersUS #TechCareersEurope #DataAnalystEurope #DataScienceUK #DataScienceUS #EuropeAnalytics #TechOpportunitiesUK #TechOpportunitiesUS #AnalyticsCareersEurope

📊 Unexpected JSON benchmark findings — @PostgreSQL beat @MongoDB in single insert throughput, defying expectations! Even with the log scale graph softening the gap, Postgres' indexing and storage optimizations handled real-world app-like inserts faster. 🔗 Dive into the full breakdown: documentdatabase.org/blog/js… 💙 By: @pg_umair, @StormaticsTech #PostgresVsMongo #JSONSpeedTest #DatabaseShowdown #TechTrends #DataPerformance #DevInsights #SQLvsNoSQL #WebDevelopment #DatabaseWars #Benchmark

🔌 The Power of Oracle Exadata and AMD EPYC™: the lifeblood of modern enterprise! 🌐 At Vodafone, AMD, and Oracle Exadata serve 300M customers, managing data seamlessly with real-time performance! 🌟 #DataPerformance #AMD #Oracle #AMDBrandAmbassador bit.ly/3XPT2k6

📊 Celestia planea implementar bloques de 1 gigabyte para optimizar el rendimiento de datos. ¡Sigue de cerca su progreso técnico! 🚀 #Blockchain #TechUpdate #DataPerformance

Achieve digital excellence with expert #WebAnalytics! Improve your website through my Fiverr gig: b.link/7sh81wow #DataPerformance #SEOOptimization #DigitalStrategy #SiteDevelopment #FreelancePro #poohpavel #trackingweb #digitalselling

Unpack the key elements of in-memory databases in our recent #blog, covering innovative write paths, DRAM vs SSD performance, and SSD-optimized database cost advantages: aerospike.com/blog/what-is-a… #Aerospike #InMemoryDatabase #DataPerformance