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Real-time analytics and decisions are crucial in today’s data-driven world, combining MQTT protocol and Apache Kafka creates a robust data architecture that helps companies do just that. 💡 EMQX, a high-performance MQTT broker, can be a central bridge to integrate various device data with Apache Kafka for high-throughput data processing. 💡 MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol ideal for real-time communication in constrained networks. Widely used in IoT, connected cars, industrial automation, smart cities, and more. 💡 Apache Kafka is a distributed streaming platform designed for large-scale, real-time data streaming and processing. Essential for data-driven enterprises. ➡️➡️ Learn more from MQTT and Kafka white paper: https://bit.ly/4fcbWcR #MQTT, #EMQX

Real-time analytics and decisions are crucial in today’s data-driven world, combining MQTT protocol and Apache Kafka creates a robust data architecture that helps companies do just that. 💡 EMQX, a high-performance MQTT broker, can be a central bridge to integrate various device data with Apache Kafka for high-throughput data processing. 💡 MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol ideal for real-time communication in constrained networks. Widely used in IoT, connected cars, industrial automation, smart cities, and more. 💡 Apache Kafka is a distributed streaming platform designed for large-scale, real-time data streaming and processing. Essential for data-driven enterprises. ➡️➡️ Learn more from MQTT and Kafka white paper: https://bit.ly/4fcbWcR #MQTT, #EMQX

Real-time analytics and decisions are crucial in today’s data-driven world, combining MQTT protocol and Apache Kafka creates a robust data architecture that helps companies do just that. 💡 EMQX, a high-performance MQTT broker, can be a central bridge to integrate various device data with Apache Kafka for high-throughput data processing. 💡 MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol ideal for real-time communication in constrained networks. Widely used in IoT, connected cars, industrial automation, smart cities, and more. 💡 Apache Kafka is a distributed streaming platform designed for large-scale, real-time data streaming and processing. Essential for data-driven enterprises. ➡️➡️ Learn more from MQTT and Kafka white paper: https://bit.ly/4fcbWcR #MQTT, #EMQX

We're very proud to share that our tblxers Adrien Bestel and rui Batista will be in London tomorrow to speak at #KafkaSummit by Confluent inc 🎙️💻💡[at 15:30, local time] 🎟️ to hear Adrien and Rui's talk "Building Scalable real-time Fleet Management IoT Data Tracker with Kafka Streams and gRPC" book your spot, through the link below. This tb.lx power duo will share about processing and storing data at rates of up to 8K batches or 500,000 signals per second, including engine temperature, flue level, or braking force coming from Mercedes-Benz or Setra buses. During the session, they will take you on a journey through the architecture of the solution, focusing on real-time horizontal scalability, fault tolerance, monitoring and alerting, while using the Kafka Streams' interactive queries API and gRPC layer for Protobuf-formatted data storage and querying, achieving near-instantaneous data access. Key optimizations to both Kafka topology and cluster will be discussed, specifically aimed at reducing network overhead and controlling changelog size. These optimizations not only ensure resource efficiency but also enhance fault tolerance and rapid startups. 💡 Book your spot through the link: https://lnkd.in/dqiDEe5B ...and walk away with actionable insights for your own Kafka deployments. 💡 #wearetblx #weareDaimlerTruck #confluent #kafkasummit #kafkasummitlondon2024 #IoT #fleetmanagement #mercedesbenzbuses #setra #kafkastreams #knowledgesharing

Learn How to Handle Complex MQTT Payload Structures like SparkPlug-B and Nested JSON! At Exalens, we’re leading the way in data management with our advanced MQTT client. Learn how to handle complex payload structures seamlessly. 1️⃣ Simple Topic Format 2️⃣ Array 3️⃣ JSON 4️⃣ Array of JSON 5️⃣ Nested JSON 6️⃣ SparkPlug-B 7️⃣ SparkPlug-B JSON Format Our client is designed to efficiently ingest, parse, and store your data, no matter how complex, empowering your Industry 4.0 initiatives. #Industry40 #MQTT #IoT #DataHandling #Exalens #SparkPlugB #JSON

Summary 2023 (pt. 2) - I realised writing through my first summary that there are a few more points to share. So, here goes: Portability & Dev Tools At Hybrid Greentech - Energy Storage Intelligence , we work within critical infrastructure so availability of services is key. One of the benefits of #rustlang is the lack of a runtime (no JVM) and the ability to build libraries and packages across different architectures (read: #arm and #x86) out of the box. This is partially thanks to the fantastic dev tooling that Rust has with Cargo. This means that the ability to target multiple architectures without a lot of additional work is fantastic to have a very flexible delivery of software. (well, not on actual builds, rust is slow there without optimisations) Where we get to go is building business logic in a way that it can Target a wide variety of systems, executed with some guarantee of safety and performance (think as: IoT, Edge servers and devices, Server backends and perhaps even #wasm).

🚀 Excited to share my recent experience working with Delta Lake and Spark Structured Streaming! 🌟 In modern data engineering, processing real-time data is essential for driving business insights. Using Delta tables as streaming sources and sinks, I’ve worked on capturing IoT device data and processing it for near real-time analysis. 🔹 With PySpark, I built streaming data pipelines: Read data streams from Delta tables. Aggregated results using temporal windows for real-time dashboards. Ensured fault tolerance with checkpointing to avoid data loss. Delta Lake makes handling real-time analytics incredibly smooth and efficient! 📊 #DataEngineering #SparkStreaming #DeltaLake #RealTimeData #BigData #IoT #Azure #PySpark #DataAnalytics

🌟 Unlock the Power of Real-Time Data Integration with Kafka Connectors! 🚀 Are you looking to streamline your data pipelines and enable seamless communication between your different systems? Look no further than Kafka Connectors - the game-changing tool that allows you to easily connect Apache Kafka with external data sources and sinks. With Kafka Connectors, you can effortlessly ingest data from various sources such as databases, message queues, and IoT devices, and route it to Kafka for real-time processing. This means you can stay ahead of the curve by reacting to events as they happen, rather than waiting for batch processing. But the benefits don't stop there! Kafka Connectors also simplify the process of exporting data from Kafka to external systems, making it easier than ever to share insights across your organization. Ready to supercharge your data integration strategy? Learn more about Kafka Connectors and take your data pipelines to the next level. #KafkaConnectors #RealTimeData #DataIntegration #Innovation #AdixooTech ⚡️📊🔗🔥

🌟 Achieve smooth interoperability across diverse environments with EMQX Dedicated v5. Import data seamlessly from external services like Kafka & MQTT broker, enhance system performance and manage complex data flows efficiently. Check out our tutorial to integrate with Confluent's fully managed Kafka service and make data management a breeze. 🚀 Start now ⬇️ https://bit.ly/4bceCF1 #EMQX #Kafka #DataIntegration #DigitalTransformation #IoT

🚀 Streamline Your Data Flow with 𝗔𝗽𝗮𝗰𝗵𝗲 𝗖𝗮𝗺𝗲𝗹 𝗞𝗮𝗳𝗸𝗮! 🧩 At SAGANT, we specialize in using Apache Camel to seamlessly integrate with Kafka, enabling real-time data streaming and processing. With Camel's powerful routing capabilities, you can easily connect Kafka topics to various systems, ensuring smooth data flow across your architecture. 🔹 𝙀𝙭𝙖𝙢𝙥𝙡𝙚 𝙐𝙨𝙚 𝘾𝙖𝙨𝙚: Imagine a scenario where you need to process data from multiple IoT devices. With Camel, you can consume data from Kafka topics, transform it, and route it to your desired endpoints—whether it’s a database, a microservice, or a third-party API. Let’s talk about how we can boost your data integration efforts! 📩 Reach out to us at [email protected]. #ApacheCamel #Kafka #DataIntegration #SoftwareDevelopment #SAGANT