Codit’s Post

Unleashing Real-time Data Insights with Azure Data Explorer & Event Hubs In today’s fast-paced data landscape, accessing and analyzing data in real-time is critical. That’s where Azure Data Explorer (ADX) and Azure Event Hubs come into play! 1. Azure Event Hubs is your go-to service for real-time data ingestion, capturing millions of events per second from diverse sources like IoT devices, applications, and social media streams. 2. Once the data is flowing, Azure Data Explorer (ADX) steps in with its powerful query engine, allowing you to run lightning-fast queries over massive datasets. Whether it's time-series analysis, anomaly detection, or dashboard creation—ADX delivers real-time insights at scale. Why use them together? The seamless integration between Event Hubs and ADX lets you unlock actionable insights instantly, providing the agility to make data-driven decisions on the fly. #AzureDataExplorer #AzureEventHubs #DataEngineering #RealTimeData #CloudAnalytics #DataTransformation

New on Microsoft AppSource: August 1-11, 2024. We continue to expand the Microsoft AppSource ecosystem. For this volume, 213 new offers successfully met the onboarding criteria and went live. See details of the new offers below: Get it now in our marketplace 1Vision IoT: 1Vision365 IoT transfers IoT signals to Microsoft Dynamics 365 Business Central for further processing. Signals are stored in an IoT Event Hub table and can be subscribed to by a per-tenant-extension for data handling. Acumens e-Mailing: Acumens e-Mailing for Dynamics 365 Business Central allows for efficient and targeted communication with customers... #techcommunity #azure #microsoft https://lnkd.in/gyZwdspc

: 🚀 Real-Time Insights with Azure Stream Analytics 🌐 In today’s fast-paced digital world, real-time data insights are critical for staying competitive. With Azure Stream Analytics, businesses can unlock the power of real-time analytics, enabling them to act on data as it’s being generated. 🔑 Why Azure Stream Analytics? Real-Time Processing: Easily process and analyze millions of events per second from sources like IoT devices, sensors, applications, and more. Seamless Integration: Connect with Azure services like Azure Event Hubs, IoT Hub, Power BI, and Azure Synapse for a powerful, end-to-end analytics solution. Scalability: Automatically scale up and down based on the volume of data, ensuring high performance without compromising on cost. Low-Code, High-Impact: With a simple SQL-based query language, you can create complex real-time analytics pipelines without extensive coding. 🌟 Use Cases: IoT Analytics: Monitor connected devices, perform predictive maintenance, and optimize asset utilization in real time. Fraud Detection: Identify suspicious patterns in financial transactions as they happen, reducing risk and preventing losses. Customer Insights: Enhance customer experiences by reacting to their behaviors instantly through real-time data analytics. 🔎 The Future of Data is Streaming: Azure Stream Analytics is revolutionizing how businesses leverage data, providing real-time insights that empower smarter decisions, faster reactions, and greater agility. #AzureStreamAnalytics #RealTimeData #Azure #IoT #DataAnalytics #CloudComputing #BigData

🔍Ever wondered what edge computing looks like in 2024?🔍 Data rules today's hyper-connected world, driving transformation in our information processing methods. Enter the IT game-changer: Edge Computing. 🌐💡 What's Edge Computing? It takes data processing to its source, rather than relying on centralised hubs or cloud platforms. This approach places computing resources closer to data-generating devices, reducing latency, and enabling immediate analysis and decision-making. 🚀 Edge Computing is now reshaping the IT landscape due to: 1️⃣ Real-Time Insights: Quick data processing at the 'edge' offers faster responses, enhancing operational efficiency. 2️⃣ Bandwidth Efficiency: Edge Computing reduces network congestion and bandwidth costs by reducing data transmission to centralised servers. 3️⃣ Robust Security: Distributing computing resources across edge devices improves security, minimising sensitive data exposure. 4️⃣ IoT Integration: Edge Computing provides scalable support for data influx from IoT devices. 5️⃣ Edge AI: Pairing Edge Computing with AI enables complex data analysis autonomously, with no cloud reliance. Edge Computing is a key enabler for businesses aiming to use data as a strategic asset. #EdgeComputing #DigitalTransformation #ITInfrastructure #IoT #AI

In today's dynamic business world, data is the game changer. From AI-driven insights and real time analytics to self service tools that empower everyone, the landscape is evolving fast. IoT and big data are unlocking innovation, while predictive analytics is turning foresight into a strategic advantage. Privacy and security are more critical than ever, and cloud based solutions are making powerful analytics accessible to all. Ready to turn data into your competitive edge? Embrace these trends and transform your business into a data driven powerhouse. #BusinessAnalytics #AI #MachineLearning #DataScience #BigData #IoT #PredictiveAnalytics #CloudComputing #DataDriven #Innovation #FutureOfBusiness #TechTrends #DigitalTransformation

Delve into the 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐯𝐞 𝐩𝐨𝐰𝐞𝐫 𝐨𝐟 𝐀𝐳𝐮𝐫𝐞 𝐈𝐨𝐓 𝐢𝐧 𝐨𝐮𝐫 𝐜𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐠𝐮𝐢𝐝𝐞 𝐭𝐨 𝐄𝐝𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠! Explore how businesses can leverage edge computing to unlock real-time insights, reduce latency, and enhance decision-making processes. Learn about the seamless integration of Azure IoT services and discover practical strategies for harnessing the full potential of edge computing in your organization. Ready to revolutionize your business? Dive into our guide today! #pronixinc #azureIoT #edgecomputing #digitaltransformation #IoTIntegration #businessinnovation #innovation

Cybeats protects IoT devices around the globe utilizing AWS serverless architecture monitored by Lumigo. Learn more about their tech stack, challenges, and unique approach! #serverless #aws #observability

🌟 Last chance to register: Embracing Observability and Network Transformation Join UK Technology leaders to discuss how to effectively embrace observability across the modern enterprise, making better informed decisions and driving continuous improvement. Find out more and register here: https://buff.ly/4eCe7Gq Discussion topics include: ✅ What are the most effective strategies for overcoming the challenges of data volume and silos in achieving robust observability across complex infrastructures? ✅ How can organizations leverage observability to enhance customer retention and experience, especially in the context of network transformation and the adoption of new technologies like IoT and 5G? ✅ In what ways can IT professionals refine their monitoring and measurement strategies to better understand and manage increasingly complex software systems, ensuring peak performance and reduced costs? #cio #dinner #ITleader #observabiilty #cloud #AI

Real time apps in Power Platform! This can be applied in many different scenarios. Thank Iona V. for sharing this. #powerplatform #powerapps #powerbi #powerautomate #dynamics365 #microsoft #azure