nadine farah’s Post

Join us for a 2hrs session of learning on Feb 27th: How to Migrate from batch and Kafka to Redpanda Streaming Data. Venha aprender conosco dia 27 de Fevereiro. Como Migrar do batch e Kafka para o Redpanda Streaming Data. #kafka #kafkadeveloper #realtimedata #datastreaming #developers #developercommunity #engineers #engineering #redpanda #streamingdata #streamingplatform

🚀 My First Blog Post! 🚀 I'm thrilled to share my first blog on Apache Kafka! 🎉 Explore how industry leaders like LinkedIn, Netflix, and Uber utilize Kafka for real-time data streaming. Learn how Kafka ensures seamless data flow and why it's the preferred choice for real-time analytics and data integration. Check it out here: Unpacking Apache Kafka: The Secret Behind Real-Time Data Mastery https://lnkd.in/g2jW74YS Your feedback is most welcome! #ApacheKafka #DataStreaming #RealTimeData #TechBlog #BigData #Kafka #DataEngineering #TechCommunity #FirstBlogPost

The latest issue of the "Confluent Chronicles" is a must-read for anyone passionate about data, innovation, and storytelling! 🌐 This tale brilliantly combines creativity with cutting-edge technology, telling the story of Erick and his team at NewLimits, who tackle data-processing inefficiencies with the power of Apache Flink® and Confluent's real-time streaming platform. 🌟 It's a fun read about how the team transforms their data chaos into streamlined, actionable insights, overcoming challenges and pushing the boundaries of innovation. The narrative compellingly demonstrates how Confluent's serverless Apache Flink® service enables seamless data integration and real-time analytics, driving unprecedented efficiency and growth. 💡 #DataStreaming #Innovation #ConfluentChronicles #ApacheFlink #RealTimeAnalytics #TechComics https://lnkd.in/dpY4RKTw

🎓 FEB 27 MASTERCLASS: Migrate from batch and #Kafka to Redpanda and streaming data Goodbyes don’t always have to be hard. If you’re ready to migrate from Kafka to Redpanda, join this 2-hr session for a helpful walk through everything you need to make the smoothest move. With hands-on learning and helpful pandas as your guides, you'll learn how to: 👀 Replace batch #dataingestion pipelines with CDC 🌟 Build a streaming #ETL pipeline to replace #ApacheSpark 🚀 Migrate from Kafka clusters with MM2 Saying adieu has never been so simple. Ready to join the simpler side of #streamingdata? Sign up here👇 https://lnkd.in/g9cCiGcT

Thrilled to announce that I've achieved my Foundation Badge in Kafka! 🎉 Excited to dive deeper into the world of real-time data streaming and unlock new insights with Kafka's powerful capabilities. Here's to the journey of continuous learning and exploration! #Kafka #RealTimeStreaming #ContinuousLearning

The kafka-delta-ingest project aims to build a highly efficient daemon for streaming data through Apache Kafka into #DeltaLake. 🦀 This project is currently highly experimental and evolving in tandem with the delta-rs bindings. Check it out on GitHub 👉 https://bit.ly/3PDncTo #opensource #linuxfoundation #oss #rust #dataengineering

"Embarking on my journey into the dynamic world of Apache Kafka! 🚀 Join me as I dive deep into the realms of real-time data streaming and unlock the secrets of seamless data processing. #ApacheKafka #DataStreaming #LearningJourney"

🚀 Exciting News! 🚀 I'm thrilled to share our latest YouTube episode of Instablinks, where I had the privilege to sit down with Technology Evangelist, Paul Brebner, to delve into the world of Apache Kafka's cutting-edge feature - KRaft! 🌐 🌟 https://lnkd.in/gt3gTfGu In this engaging discussion, we explore the incredible potential of KRaft, a game-changer in the realm of streaming platforms. Here's a sneak peek of what we covered: 🔍 Simplified Operations: Learn how KRaft streamlines Kafka's management, making your workflow more efficient and hassle-free. 🚀 Enhanced Scalability: Discover how KRaft takes Kafka's scalability to new heights, ensuring you're always prepared to handle increased data loads. ⚙️ Performance Boost: Witness how KRaft supercharges Kafka's performance, resulting in lightning-fast data processing and real-time insights. 🛠️ Transforming Your Work: Find out how KRaft revolutionizes the way you interact with Kafka, unlocking endless possibilities for your data pipelines. Don't miss out on this incredible insight into KRaft's potential! Watch the full episode now and gain a fresh perspective on how to supercharge your data streams. 🌊 🔗 https://lnkd.in/gt3gTfGu Please like, share, and leave your thoughts in the comments below. If you have any questions or topics you'd like us to cover in future episodes, feel free to reach out #Instablinks #ApacheKafka #KRaft #DataStreaming #TechInnovation

We are excited for upcoming upcoming webinar: Simplifying Data Streaming with Apache Kafka on StreamNative Platform. Join StreamNative to explore the seamless integration of Apache Pulsar by StreamNative: 🔍 Discover how Pulsar simplifies complex data streaming challenges compared to Kafka. 🚀 Learn efficient ways to run Kafka workloads with built-in multi-tenancy and geo-replication. 🔄 Explore consolidating Kafka clusters into a single Pulsar cluster without disruptions. 💰 Understand strategies to lower TCO and streamline operations with tiered storage and scalability. 💡 Leverage Pulsar's enhanced capabilities alongside Kafka ecosystem features like KSQL, KStream, and Schema Registry. Don't miss this opportunity to elevate your data streaming game! #ApachePulsar #DataStreaming #Kafka #StreamNative https://hubs.ly/Q02pYY6L0

☀ March wrapping-up with some big milestones: ✅ Flink 1.19 release (Unified Compute) - every release builds more and more on this ✅ Apache Flink CDC (Unified Ingestion) was donated to the Apache incubator with the vision to become a full integration framework https://lnkd.in/dd87DSHM ✅ Apache Paimon (Unified Storage) is graduating the Apache Incubator as a top-level project. https://paimon.apache.org/ Unified Batch and Streaming has been one of the most discussed and trending topics for years, but I believe this marks the true beginning of it. This wave 🌊 doesn't only allow making streaming data cheaper and easier to the broader audience (yes this is for you fellas thinking streaming infra is expensive 😄 ) as you can get it directly on the lake (datalake/lakehouse), but it also allows you to get both batch AND stream, no need to choose or try to support both links. April we will be running our first workshops on this new wave - starting at Big Data Warsaw 🤘 You can also attend online 🚀 https://lnkd.in/dw2yMzua #apachekafka #apacheflink #apachepaimon #streaming #streamingdata #streamprocessing #dataengineering #datalake #lakehouse #BigDataTechnologyWarsawSummit #BigData2024