TDengine on LinkedIn: Snowflake data breach claims spark war of words over culpability (2024)

🔋 Deploying TDengine reduces system complexity and costs for energy industry data operationsContact us to learn more about the solution: https://hubs.li/Q02BRqMq0

🔆💸 According to the report from pv magazine USA, Clean Energy Associates recently highlighted the impact of various solar module trade policies and import tariffs on the US solar industry. With tariffs increasing module prices by up to 286%, the hardware budget for solar farms is skyrocketing.💰 However, there's a silver lining. By leveragingTDengine, companies can significantly reduce their Total Cost of Ownership (TCO) for industrial data processing by 50% or more.Benefits of TDengine:🔋 Efficient data storage and management🔋 Scalable architecture🔋 Reduced operational costsIn these challenging times, adopting innovative solutions like TDengine can help solar farm operators manage their costs more effectively and continue driving the clean energy transition. https://hubs.li/Q02BRmlH0

🤠 #UNS standardizes data protocols and naming conventions, allowing seamless communication across systems. With #MQTT Sparkplug as the ideal protocol, manufacturers can achieve interoperability, reduce costs, and unlock the full potential of Industry 4.0.With its ability to consolidate and perform #ETL on data from many industrial sources, including MQTT, TDengine is a great choice for enterprises looking to implement UNS in their data infrastructure.https://hubs.li/Q02BGXLt0

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We love seeing our team members enjoying quality time together! Welcome aboard Yijun 'Jim' Fan and here’s to many more great experiences with the TDengine Family! 😊

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Transitioning from #PostgreSQL to a specialized #TimeSeries data management system? TDengine's PostgreSQL Connector is designed to streamline this process, enhancing your organization's ability to handle large-scale, real-time data efficiently.Why Choose TDengine's Connector?✅ Seamless Data Migration✅ Improved Data Handling✅ Quick Setup🔗 Explore how our connector can transform your data management: https://hubs.li/Q02BwmMj0

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As #IoT and industrial data demands grow, traditional systems like #MySQL struggle to keep up. Discover how TDengine's MySQL Connector enhances efficiency with real-time data processing and robust handling of large-scale #TimeSeries data.✅ Boost Performance: Manage massive data volumes with ease.✅ Enhanced Distribution: Handle data across multiple nodes.✅ Faster Queries: Reduce latency for higher efficiency.✅ Seamless Migration: Transition smoothly with just three steps via taosExplorer.🔗 Ready to upgrade? Click here for details: https://hubs.li/Q02Bw7680

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🤯 In this article, Heath Thompson explores how AI is enhancing efficiency, simplifying legacy code, and broadening data accessibility. What are your thoughts on the impact of Generative AI in database tools? Do you believe it's truly a game-changer in data management? Share your views with us!https://hubs.li/Q02Bk9kG0

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🌟 Elevate Your Time-Series Data Analysis with TDengine! 🌟 Alongside supporting standard #SQL, TDengine introduces specialized queries designed specifically for time-series business scenarios. Enjoy the convenience of data slicing and time window slicing queries to streamline your application development. Discover how these features can transform your data strategy today!https://hubs.li/Q02zXJ4z0

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🙊 Introducing taosBenchmark – your ultimate tool for testing the performance of TDengine! Whether you're exploring insertions, queries, or subscriptions, taosBenchmark lets you simulate massive data volumes across devices with customizable settings. Configure your databases, Super tables, subtables, and time series data to ensure TDengine meets your specific needs. Experience the power of highly configurable performance benchmarking and take control of your data strategy today! 📊💡https://hubs.li/Q02zXyD70

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