Redpanda Data’s Post

Big news!!! 🎊 Redpanda has acquired the popular stream processing and connectivity framework Benthos. That means with our new Redpanda Connect we're now the most comprehensive end-to-end streaming data platform! 🔗 Gone are the days of suffering through multiple projects that manually stitch data from your streams to your data warehouse or operational database. Read what our founder Alexander Gallego has to say about all that's new at Redpanda. 👇 https://lnkd.in/gpUfGYgs

🎥 LIVESTREAM JULY 17: Emergence of the Live Data Stack Want to learn how leading companies are implementing a “live data stack” for one-click responsiveness? What about how #realtime processing is replacing batch, real-time storage is replacing the #data warehouse, or how #AI is taking over #analytics? It's mind-boggling stuff that you definitely won't want to miss. So sign up to make sure you don't!👇 🗓 Wednesday, July 17th 🕘 9 am PDT | 12 pm EDT | 5 pm BST https://lnkd.in/gEE-N6jK

📣 LAST CALL: Getting started with Redpanda Today is the day! Join our friendly pandas for a free online session all about Redpanda's architecture, deployment options, practical use cases, and best practices. If you're just entering the #streamingdata scene, then this is the best welcome pack to our...pack 🐾 🗓 Wednesday, July 10th 🌎 Americas: 9 am PT | 12 pm ET 🌍 EMEA: 8 am ET | 1 pm BST You're still in time to join! Sign up here👇 https://lnkd.in/gjd75ZgJ

#PyTorch and #TensorFlow are two of the most popular frameworks in the #ML community because of their flexibility, extensive libraries, and active support. But which one is best suited for your #streamingdata use case? This post digs into how each framework supports building streaming data apps, their compatibility with #Kafka, and how to make your job easier by integrating with Redpanda 🐾 Read it here👇 https://lnkd.in/gwC8STnC

📣 VIRTUAL EVENT JULY 17: Emergence of the Live Data Stack Get the scoop on the next-gen technologies powering data-intensive applications in our live online event hosted by Joe Reis, co-author of The Fundamentals of Data Engineering, and our Panda-in-Chief Alexander Gallego Gallego! WHAT YOU'LL LEARN 👜 Business drivers for real-time systems 👨💻 Technology transitions required for a live #data stack 🚀 Common #deployment patterns 💪 Skills and expertise to support #realtime systems 🤩 Real-world examples of the live data stack in action WHEN AND WHERE 🗓 Wednesday, July 17th 🕘 9 am PDT | 12 pm EDT | 5 pm BST 📍 Wherever there's Wi-Fi (it's online) HOW TO JOIN Simple! Just sign up here to book your spot👇 https://lnkd.in/gEE-N6jK

With the rise of #SaaS and self-serve #data platforms, organizations want to equip their employees with the fresh insights they need to make data-driven decisions faster. However, building a user-facing #analytics solution that provides these swift insights is easier said than done. To give you a hand, Dunith Danushka cooked up a helpful blueprint for implementing a simple, scalable user-facing analytics solution 🚀 Read it here👇 https://lnkd.in/gTHEVGwR