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Why are so many companies migrating from one cloud data platform to another?  🔃 Consolidation, scalability, and optimization are big drivers, with the rise of the lakehouse architecture leading the charge. Whether it’s technical limitations or external pressures, migrations are here to stay. At our previous #dbt Meetup, Laszlo Pataki shared his experiences on switching the query engine under dbt projects, and we’ve got some key takeaways! It’s not just a "lift and shift" – migrations bring new governance, security, and integration challenges. With tools like SQLGlot + ChatGPT, Laszlo showed how AI can automate and simplify the process. 🧠  But it doesn’t stop at automation: he highlighted the importance of early testing and validation, leveraging tools like dbt’s audit_helper to ensure smooth cross-platform transitions. If you’re navigating a migration, don’t miss his insights 👉  check out the slideshow!

“From data chaos to clarity” – At Confluent, that’s exactly how we see data streaming untangling data complexities. At #KafkaSummit Bangalore, Jay Kreps, Co-Founder and Chief Executive Officer, and Shaun Clowes, Chief Product Officer, spoke to Frontier Enterprise's Rahul Joshi about the not-so-secret but powerful weapon that helps businesses turn brittle data infrastructures to streamlined, efficient systems. Spoiler alert: It’s a data streaming platform! 😉 When you’ve got a platform that works as an intelligent connective tissue - enabling #realtime data and simplifying data integration across the organization - data sets truly become more than the sum of their parts. 🧩 Read more ⬇

2023 was a thrilling year for the world of data infrastructure. Let's take a look back at some key developments 🗝️ At the end of last year, our friends at RisingWave hosted a "2023 Retrospective on Data Infrastructure" meetup, where the founders of 4 disruptive companies in the space discussed some major trends. Our Co-Founder and Co-Creator of Apache Pinot, Xiang Fu, was one of them, alongside Alexander Gallego from Redpanda Data, Jason Reid from Tabular, and Yingjun Wu from RisingWave. You can now read about what the four have to say about last year's biggest trends in data infrastructure in this blog: https://lnkd.in/ex7mFAiA #StarTree #realtimeanalytics #datainfrastructure #streamprocessing #dataprocessing

Hear why Indian firms are transforming their data strategy with Confluent in this article by Frontier Enterprise:

Unlock the Power of Your Data with Elasticsearch and Kibana on Kubernetes! 🚀 In today's fast-paced digital world, real-time insights are more crucial than ever. By deploying Elasticsearch and Kibana on Kubernetes, you can seamlessly scale your data processing and visualization capabilities! ✨ Why Choose Elasticsearch and Kibana? Powerful Search Capabilities: Retrieve and analyze your data at lightning speed. Dynamic Visualizations: Transform complex datasets into intuitive dashboards. Scalability: Effortlessly manage increased data loads with Kubernetes orchestration. High Availability: Ensure your data is always accessible and resilient. 🔍 Imagine This: Instantly visualize trends, track performance metrics, and gain actionable insights—all from a centralized platform. Whether you’re monitoring application logs or analyzing user behavior, the combination of Elasticsearch and Kibana empowers your team to make data-driven decisions with confidence. 📈 Join the Data Revolution! Ready to elevate your data game? Dive into the world of Elasticsearch and Kibana on Kubernetes and harness the full potential of your data today! #Elasticsearch #Kibana #Kubernetes #DataVisualization #CloudNative #DataDriven #TechInnovation

Old habits can quickly turn your data infrastructure into chaos.   Businesses often find they are relying on fragile, point-to-point connections when looking to expand and integrate new technological innovations. These brittle connections put a strain on your data infrastructure, and any changes in the system can cause massive issues downstream.   Our Chief Product Officer, Shaun Clowes, and CEO, Jay Kreps, spoke on this issue at #KafkaSummit Bangalore and explained how data streaming can resolve these challenges – check out this article from Frontier Enterprise if you missed it!   https://lnkd.in/gunFa9Re   #datastreaming #Kafka #datamanagement

🚀 Exciting News! 🚀 I am thrilled to share that I will be speaking at the Data+AI Summit next week! Join me as I dive into lakehouse architecture and key learnings on building efficient data pipelines with by co-speaker Usman Zubair. Looking forward to connecting with fellow professionals, exchanging ideas and learning and exploring the latest trends in data and AI. 🗓 Wednesday, 12 June 🕜 12:30 PM PT See you there! #DataAISummit

During the presentation, it was mentioned that the performance of Confluent Cloud is 16x that of Apache Kafka. Where does that massive performance differential come from? When you talk about performance, the first element at play is the networking that connects the client producing data to the service receiving it. If you’re running it on-premises, you’re somewhat limited by the available networking and the hardware in that rack. In the cloud, there have been significant advancements in optimisations. Once you collect data at the network layer, the next step is processing it to ensure it’s stored exactly once, with all the transactional pieces in place. When you run this on-premises, you’re limited to the capabilities of that machine. The third part is writing data to the physical disks in that machine through a RAID (redundant array of independent disks) array or something similar. In the cloud, we can break these steps apart. We actually don’t run the same code as we do on-premises. In the cloud, for example, you don’t have a single hard drive or one machine. We use a process called disaggregation, where we split that single system into multiple layers and optimise those layers independently. A lot of our performance gains come from this approach. These interactions are handled very differently in the cloud. That’s why we have an engine called Kora. We write things differently because we’re in the cloud, allowing us to take advantage of many optimisations.

I just came across a compelling piece on Forbes about the rising prominence of reusable data streams on C-level IT agendas, a concept that's reshaping the landscape of real-time data processing. Confluent's innovative use of Apache Flink is making waves by enabling businesses to harness live data for instantaneous decision-making, thereby revolutionizing our digital interactions. For those less familiar, data streams represent a continuous flow of information that can be analyzed as it arrives, offering a significant edge in today's fast-moving environment. This approach not only streamlines operations but also opens up new possibilities for efficiency and responsiveness. 💡 The full article on Forbes offers an in-depth look at Confluent's pivotal role in this technological evolution, underscoring the transformative potential of data streams in our digital experiences. 🔍 Check it out here: https://lnkd.in/e86pYtBF

Data foundation is critical when transitioning to the #GenAI world 🤖 Join #theCUBE at #DataAISummit, where we heard from Jeff Veis, the CMO at Impetus, about the importance of data foundation for gen AI, and how their automation tech can help. “You need to have your data foundation ready to move into the gen AI world. That's easy to say, but really hard to do. The lift and shift to the cloud that organizations tried to do is not going to give you that data foundation. You need to be able to have it be governed. Only 30% of Databricks customers are on catalog today. So, there is a Grand Canyon that we have to get people through,” shares “There are very few product and service companies that do both IP and services. I've worked at both kinds of companies and the train kind of goes off the track quickly when you talk to a product company about, ‘Great, you have speeds and feeds, but how do I get there?’ We're focused on bringing the right automation technology that can do it in a smart way and get the job done,” he adds. 📰 More: https://lnkd.in/gvjmncxv #EnterpriseTechNews #AIusecases #CXOtrends