Can Apache Kafka® Tiered Storage reshape the future by streaming data like a dam (and not a fountain)? We think so. Journey along in Part 3 of our Tiered Storage blog series where we flow through Kafka time & space, lose ourselves in the river of Kafka infinite streams, encounter different time scales, and more. Check out our new blog today & experience Kafka “time travel” for yourself! https://ntap.com/3ZXLkWc #ApacheKafka #Kafka #OpenSource #DataStreaming #TieredStorage
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A world where time bends to your data needs? It’s no longer a fantasy—with Apache Kafka® Tiered Storage, it's now a reality. In the latest part of our blog series, we take a leap into the future of data streaming and explore real-life use cases for Kafka Tiered Storage. The future of data streaming is now—are you ready to harness it? Read the blog & discover the incredible power of Tiered Storage: https://ntap.com/4j78h1Y #ApacheKafka #Kafka #OpenSource #DataStreaming #TieredStorage
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Are you up to speed with Kafka Connect? Watch Katherine (Kate) Stanley's session and explore the latest features of this ideal tool for data streaming pipelines & how it connects to Apache Kafka. View talk @ devoxx.co.uk/talk?id=20907
Getting up to speed with Kafka Connect by KATE STANLEY
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📢 Understanding Apache Kafka: The Backbone of Modern Data Streaming 🌎 Apache Kafka has become a go-to technology for large-scale, real-time data streaming. Let's dive into its key concepts and explore how it powers some of the largest platforms today: 💬 Want to explore specific Kafka features? Drop a comment below, and let's chat! 👇 #ApacheKafka #DistributedSystems #DataEngineering #BigData #RealTimeStreaming #SoftwareArchitecture #KafkaInProduction #TechInnovation
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Apache Kafka is an extremely powerful event streaming platform, but when things go wrong, they go wrong at scale. These case studies show why it's important to have direct access to Enterprise Architects with deep Kafka expertise >> https://ter.li/u07bf5 #ApacheKafka #opensource
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Unlock the power of real-time data streaming with Instaclustr at Current 2024! Learn how our Managed Platform for Apache Kafka can help you seamlessly scale and handle increased data volumes without compromising performance. Visit our booth for more details! #Current2024 #DataStreaming #ApacheKafka #Instaclustr
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🚀 Kafka Enthusiasts, Let’s Discuss Real-Time Data Streaming! 🚀 How have you implemented Kafka to handle real-time data pipelines in your organization? Whether it’s using Kafka Streams or integrating with other systems, share your tips on ensuring high-throughput and low-latency streaming data solutions. Join the conversation and let’s dive into the world of real-time data with Kafka! 🌐📈 #Kafka #DataStreaming #RealTimeData #BigData
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🤔 𝐄𝐯𝐞𝐫 𝐰𝐨𝐧𝐝𝐞𝐫 𝐡𝐨𝐰 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐬𝐭𝐫𝐞𝐚𝐦𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐝𝐞𝐭𝐞𝐜𝐭 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐚 𝐛𝐞𝐚𝐭? In our latest blog, we explored this question and walked through the technical process of building real-time update detection using Bytewax and Kafka. Learn how to set up reliable pipelines that detect updates on the fly using Alpaca news data, ensuring your system always runs on fresh information. ⚡ 𝘐𝘧 𝘺𝘰𝘶’𝘳𝘦 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘳𝘦𝘢𝘭-𝘵𝘪𝘮𝘦 𝘥𝘢𝘵𝘢, 𝘮𝘪𝘴𝘴𝘪𝘯𝘨 𝘶𝘱𝘥𝘢𝘵𝘦𝘴 𝘪𝘴𝘯’𝘵 𝘢𝘯 𝘰𝘱𝘵𝘪𝘰𝘯. Read the full blog here to learn how to stay ahead! https://lnkd.in/dmyyYqGT
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How to Master Kafka for Data Streaming https://lnkd.in/g9RYjfQk Dive into the world of Apache Kafka and master the art of data streaming! This guide covers everything from installation and core concepts to advanced techniques and best practices. #ApacheKafka #DataStreaming #RealTimeData #BigData #DataEngineering #IW #IWNews #IndustryWired
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Triggers are one of the most critical components to controlling cost in Spark Structured Streaming. Consider the example of streaming data from Kafka into S3. Neglecting the trigger option means writing to S3 up to the default of 500ms for each interval. As compared to assigning the processingTime option of the trigger to 5 mins, which could mean the difference of 600x files or more depending on your partition strategy. Be sure to consider your SLA when determining streaming triggers, and save yourself time and money! Check out the docs: https://lnkd.in/gbuDuJRx #spark #structuredstreaming
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Always wanted to understand the Kafka because of its magical ability to be used in real time streaming data pipeline that makes it hot favorite for any organization that relies on data driven businesses. Not a big thing though, just an Intro to a major cert on Kafka that i am planning to do by the end of this year. #Kafka #EventDrivenSystems #microservices #confluent
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