Last night I went down to the DC Mall after the first day of PowerBI Days DC to meet the family after they spent the day in museums and checked out the reflecting pool updates… it was almost full and looked great! powerbidc.org #PowerBI #MicrosoftFabric #SQLDatabase #DataAnalytics #RealTimeAnalytics #DataEngineering #BusinessIntelligence #PowerPlatform #Fabric #AnalyticsCommunity

Real-time analytics is becoming essential for operational decision-making. Databricks enables streaming data processing, allowing organizations to analyze events as they happen rather than after delays. #RealTimeAnalytics #Databricks

Fast queries are table stakes. The real question: how much does it cost to keep data continuously flowing, ingesting, and query-ready? Find out June 24th and register now → clickhou.se/4eDiToQ #ClickHouse #RealTimeAnalytics #DataEngineering

SOFTSWISS expands Casino Platform segmentation with real-time player targeting tools yogonet.com/international/ne… #CasinoMarketing #PlayerEngagement #GamingIndustry #SoftSwiss #RealTimeAnalytics

Tired of building complex ingestion pipelines just to get your streaming data ready for analytics and AI? Join @streamnativeio and @starburstdata for a live webinar on June 25th to learn how to bridge the gap between real-time Kafka streams and Apache Iceberg tables! 🌊🧊 We will show you how to simplify your journey to actionable insights using an open, modern data architecture. What we’ll cover: 🔹 Pipeline-free Kafka to Iceberg ingestion 🔹 Schema governance best practices 🔹 Optimizing Iceberg tables via LakeOps 🔹 Scaling with open standards (Kafka, Iceberg, Trino) 🔗 Save your seat: hubs.ly/Q04kT0CT0 #DataStreaming #ApacheKafka #ApacheIceberg #Lakehouse #RealTimeAnalytics #AIInfrastructure

🧐How do you go from raw, noisy tick data to a smooth volatility curve — in real time? medium.com/@DolphinDB_Inc/ho… Our latest article breaks down the full pipeline: from filtering live market data and matching futures prices, to calculating implied volatility and Greeks on each quote, to constructing and smoothing a volatility smile every 60 seconds. A practical read for anyone working in quant finance, derivatives pricing, or real-time data engineering. 👉 Learn more about us dolphindb.com #QuantFinance #OptionsTrading #RealTimeAnalytics #DataEngineering #CommodityMarkets #FinTech #AlgorithmicTrading #DolphinDB

Excited to announce I’ll be speaking at #TechCon365 / #DataCon365 in Seattle this August! 🚀 I’ll be presenting 3 sessions covering SQL Server, Microsoft Fabric, database modernization, backups, and real-time analytics: 🎤 Database Backups 101 📅 Aug 26 🎤 Fabric SQL Database: Simplifying OLTP and Real-Time Analytics 📅 Aug 27 🎤 What’s New In SQL Server For The Developer 📅 Aug 28 Topics include: ✅ Microsoft Fabric SQL Database ✅ SQL Server Development ✅ Real-Time Analytics ✅ OLTP Workloads ✅ Database Backups & Recovery ✅ Azure SQL ✅ Data Engineering ✅ Modern Data Platforms ✅ DBA Best Practices ✅ Performance Optimization ✅ Analytics Operational Data Looking forward to connecting with developers, DBAs, architects, and data leaders at the conference. #MicrosoftFabric #SQLServer #FabricSQL #AzureSQL #DBA #DataEngineering #RealTimeAnalytics #CloudData #DataPlatform #DatabaseAdministration #BusinessIntelligence #Analytics #TechCon365 #DataCon365 #MVPBuzz @DBConsultingJax

Batch analytics wasn't built for today's real-time operations. Learn how Complex Event Analytics helps organizations turn event streams into actionable intelligence in seconds. mlogica.com/resources/blogs/… #ComplexEventAnalytics #RealTimeAnalytics #OperationalIntelligence #StreamingAnalytics #DataModernization #EnterpriseArchitecture #ArtificialIntelligence #DataStrategy #EventDrivenArchitecture #mLogica

🚨 Fraud happens in seconds. Detection can't take days. Banks using real-time analytics can: ✅ Detect threats instantly ✅ Predict fraud risks ✅ Automate monitoring ✅ Reduce fraud losses The future of fraud prevention is predictive, not reactive. #FraudDetection #FinTech #AI #RealTimeAnalytics #Banking #EnterpriseAI #DataAnalytics #Inferyx

🚀 ClickHouse Cloud で Executable UDF がパブリックベータ公開！Python コードをそのまま SQL の中で動かせます🐍 ブログでは PyTorch オートエンコーダーを使った株式取引の異常検知デモを完全公開。約60億件のティックデータをインジェスト時にインラインでスコアリングする実装です。 💡 技術的なポイント 🔹 Python zip アップロードだけでデプロイ完了（モデルサーバー不要） 🔹 マテリアライズドビュー内でUDFが起動 → INSERT ごとに自動推論 🔹 長寿命プロセスプールがモデルをホットキープ → クエリ速度で推論 🔹 3レプリカで ~35K rows/sec を維持、6B行バックフィル実証 🔹 ネットワークアクセス UDF（プライベートベータ）でClaude連携・外部API呼び出しも実現 別途パイプライン、別途モデルサーバー、別途スケジューラ... そのすべてが DDL 1文に置き換わります。 完全なソースコード（ノートブック・UDF・SQL・Webアプリ）は GitHub で公開中。 👇詳細はブログ（日本語）でチェック clickhouse.com/jp/blog/execu… #ClickHouse #Python #MLOps #UDF #RealtimeAnalytics #ClickHouseJapan

Complete Guide to API Monitoring seanergy.app/complete-guide-… #ServerMonitoring #InfrastructureMonitoring #NetworkMonitoring #UptimeMonitoring #CyberSecurity #CloudMonitoring #RealtimeAnalytics #SystemMonitoring #MonitoringSystem #SaaSPlatform #Uptime #SSL #API #APIMonitoring

In today's fast-moving digital economy, waiting for reports is no longer enough. Real-Time Data Analytics is transforming how modern businesses make decisions by providing instant insights from live data streams. Organizations can respond to customer behavior, market changes, operational challenges, and emerging opportunities as they happen—not days or weeks later. From personalized customer experiences and fraud detection to operational optimization and predictive forecasting, real-time analytics is helping businesses become faster, smarter, and more agile than ever before. The ability to analyze data in real time is no longer a competitive advantage—it is becoming a business necessity. As industries continue to embrace digital transformation, data-driven decision-making will define the leaders of tomorrow. 🚀 Master future-ready data analytics skills with Edubuk 📲 Download the app today or visit edubuk.com #DataAnalytics #RealTimeAnalytics #BusinessIntelligence #BigData #DigitalTransformation #FutureSkills #DataDriven #Edubuk #LearnVerifyEarn

5 countries. 6 cities. 12 days. 1 ClickHouse 🌏 Last month, our CTO and the creator of ClickHouse, Alexey Milovidov, hit the road across APJ - Mumbai, Bengaluru, Singapore, Jakarta, Seoul, and Tokyo - meeting customers, keynoting Confluent's Data Streaming World Tour, hosting community meetups, and officially launching ClickHouse in Japan 🇯🇵 Why in person? Because the questions you get from a data engineer face-to-face aren't the ones you get on a Zoom call. And APJ is one of the fastest-growing regions for ClickHouse - that feedback loop only works when the creator of the database is in the room. Huge thanks to every customer, partner, and community member who showed up. Full recap on the blog 👇 clickhou.se/4u5gB6D #ClickHouse #RealTimeAnalytics #APJ #DataEngineering

Another great example of AI ROI from #DellTechWorld - Dell's data mesh and real-time prompt engineering achieving a single version of the truth to align operating, technology, and business models. @DellTech @JClarkeatDell video.cube365.net/c/YlmBcWG9… #DataMesh #SingleSourceOfTruth #PromptEngineering #AI #RealTimeAnalytics #DigitalTransformation #CIO #OperatingModel #DataDriven #DataOps #Dell

Data & Analytics in Warehouse Management Download the eBook: shorturl.at/A2grT #dataanalytics #warehouseanalytics #BusinessIntelligence #warehousemanagement #WMS #RealTimeAnalytics #InventoryAnalytics #dataandanalytics #SmartWarehouse #WarehouseManagementSystem #onpalms

𝗪𝗵𝗮𝘁’𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝗻𝗼𝘄 𝗮𝘁 @togethercompute? Together AI is building observability for the AI era— where infrastructure teams can understand not just how many tokens were consumed, but why workloads behave the way they do in real time. And it’s 𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗔𝗽𝗮𝗰𝗵𝗲 𝗣𝗶𝗻𝗼𝘁. Because in LLM infrastructure, dashboards aren’t enough. 𝗬𝗼𝘂 𝗻𝗲𝗲𝗱 𝗵𝗶𝗴𝗵-𝗰𝗮𝗿𝗱𝗶𝗻𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗲𝘃𝗲𝗻𝘁𝘀, 𝘂𝗻𝗱𝗲𝗿 𝗰𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝗰𝘆, 𝘄𝗶𝘁𝗵 𝗳𝗿𝗲𝘀𝗵𝗻𝗲𝘀𝘀 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗱 𝗶𝗻 𝘀𝗲𝗰𝗼𝗻𝗱𝘀—𝗻𝗼𝘁 𝗵𝗼𝘂𝗿𝘀. 𝗧𝗵𝗲 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 As token volumes surged into the billions per hour, Together AI hit a new problem: Traditional analytics systems weren’t designed for real-time LLM observability. Customers wanted live usage dashboards by prompt, model, and API key. Engineers needed to debug latency spikes and optimize GPU allocation in real time. Finance teams required precise token-level attribution for billing and cost management. 𝗕𝘂𝘁 𝗺𝗼𝘀𝘁 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘀𝘁𝗮𝗰𝗸𝘀 𝗳𝗼𝗿𝗰𝗲 𝗮 𝘁𝗿𝗮𝗱𝗲𝗼𝗳𝗳: 𝙀𝙞𝙩𝙝𝙚𝙧 𝙝𝙞𝙜𝙝 𝙛𝙧𝙚𝙨𝙝𝙣𝙚𝙨𝙨 𝙬𝙞𝙩𝙝 𝙡𝙤𝙬 𝙜𝙧𝙖𝙣𝙪𝙡𝙖𝙧𝙞𝙩𝙮—𝙤𝙧 𝙙𝙚𝙚𝙥 𝙖𝙣𝙖𝙡𝙮𝙨𝙞𝙨 𝙬𝙞𝙩𝙝 𝙨𝙡𝙤𝙬 𝙗𝙖𝙩𝙘𝙝 𝙥𝙞𝙥𝙚𝙡𝙞𝙣𝙚𝙨. 𝗧𝗵𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁 Together AI centralized streaming LLM telemetry into a real-time analytical layer using StarTree, powered by Apache Pinot. Streaming data flows into Pinot, where billions of token events become queryable in seconds. Usage can be sliced by model, user, API key, region, and prompt. Queries reconstruct infrastructure behavior as events unfold. Text indexing enables prompt-level debugging and anomaly detection. This transforms LLM telemetry from static batch reporting into an operational system for AI infrastructure. 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁   • Sub-second query latency across billions of token events   • 10-second freshness windows for near real-time visibility   • High-cardinality analytics at production scale   • 50% storage cost reduction with tiered storage optimization   • Latency improvements from 10 seconds to 7 milliseconds using Star-Tree indexing 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝘀𝗵𝗶𝗳𝘁 LLM observability is becoming part of the product experience itself. Because when AI infrastructure becomes customer-facing, telemetry can’t arrive tomorrow. It has to explain what’s 𝙝𝙖𝙥𝙥𝙚𝙣𝙞𝙣𝙜 𝙣𝙤𝙬. 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗰𝗮𝘀𝗲 𝘀𝘁𝘂𝗱𝘆 𝗵𝗲𝗿𝗲 → stree.ai/4draymK #LLMobservability #RealTimeAnalytics #DataEngineering #ApachePinot

How oIBP Powers Skechers & More with Second-Level Data Updates Managing merchandise data across multiple retail brands — at GB scale, in real time — is no small feat. oIBP built their intelligent retail data platform on DolphinDB, and delivered exactly that for brands like Skechers and Saint Angelo. ✅ GB-scale data updated in seconds ✅ Full transactional consistency ✅ Multi-dimensional analytics across market, operations, and consumer sentiment From demand forecasting to retail operations — all on one platform. 🔗 Ready to modernize your data infrastructure? Visit dolphindb.com to get started. #DolphinDB #TimeSeriesDatabase #IoT #DataInfrastructure #RealTimeAnalytics #AI #BigData #DataEngineering #RetailAnalytics #SmartFactory

FinDreams Battery, the core battery division of BYD, generates trillions of data records every year across its R&D labs. After rebuilding their entire data infrastructure on DolphinDB, the results speak for themselves: ⚡ 200× faster data processing 📊 Reports generated in under 5 seconds 🚨 Live alerts firing in under 100ms 🔗 Ready to modernize your data infrastructure? Visit dolphindb.com to get started. If you're working with large-scale IoT or time-series data, drop a comment below — we'd love to hear your challenges. #DolphinDB #TimeSeriesDatabase #IoT #DataInfrastructure #RealTimeAnalytics #AI #BigData #DataEngineering #SmartFactory

🎉ClickHouse Launch Party｜日本法人設立記念パーティ🎉 会場には100名を超える皆様にお集まりいただき、熱気あふれる素晴らしい門出となりました。ご来場いただいた皆様、本当にありがとうございました💛 ⭐️THE LEADING DATABASE FOR AI⭐️ 「AI時代のデータプラットフォーム」として、私たちは日本企業のリアルタイムな意思決定を強力に支援します。 AI開発に必要なデータスタック、国内サポート体制もさらに強化してまいります。 日本のデータエンジニア、そしてビジネスリーダーの皆様と共に、データ活用の未来を切り拓いていけることを楽しみにしています！ The world's fastest database "ClickHouse" is now officially here in Japan. Stay tuned! 🔥A huge thank you to everyone who came out to celebrate our new beginning 🚀 #ClickHouse #ClickHouseJapan #RealTimeAnalytics #Database #AI

⚡ Understand Microsoft Fabric Eventhouse. ▶️ Watch: prag.works/fbrrti Learn how Eventhouse powers real-time analytics with scalable, event-driven data processing. #MicrosoftFabric #Azure #RealTimeAnalytics #DataEngineering #MicrosoftPartner #PragmaticWorks