The Ravit Show

When someone builds the foundation of modern streaming, every insight counts.At Data Streaming Summit 2025, I spoke with Sijie Guo, Co-founder and CEO of StreamNative, about how real-time data is reshaping the way companies move and act on information. Sijie shared how StreamNative continues to evolve Apache Pulsar’s mission — giving teams the ability to process, store, and serve data in motion with performance and simplicity.We talked about what’s next for the streaming world. Over the next year, Sijie expects deeper convergence between streaming and AI, where real-time pipelines become intelligent enough to drive automated decision-making across industries.He also emphasized how this summit stood out for its openness — not just a product showcase, but a true ecosystem of technologies working together. His favorite track? The Streaming Lakehouse discussions, where unifying data and streaming meets real-world scalability.The conversation captures where the future of streaming is heading — and how StreamNative is helping enterprises get there faster.#data #ai #datastreaming #streamnative #theravitshow

Real-time data isn’t just fast—it’s collaborative. At Data Streaming Summit 2025, I spoke with Rayees Pasha, CPO, RisingWave, a key partner of StreamNative, about how streaming ecosystems are evolving together instead of in silos. Rayess shared how RisingWave’s real-time database helps teams run complex analytics directly on live data, and how their partnership with StreamNative brings true interoperability to customers.We discussed the future of streaming over the next year, where streaming meets AI, and intelligent pipelines start driving automated, data-driven actions. He also appreciated the summit’s open and multi-technology approach, which encourages collaboration rather than competition.His favorite moments came from the AI + Stream Processing track, where discussions focused on turning streaming data into real-time intelligence.This conversation captures how openness and partnership are powering the next wave of streaming innovation.#data #ai #streamnative #datastreamingsummit #theravitshow

Real time without the noise.At Data Streaming Summit 2025, I spoke to Matteo Merli, Co-founder and CTO at StreamNative. We talked about why streaming matters now and what his team is building to make data in motion simple, scalable, and open. Matteo expects the next 12 months to be about streaming meeting AI in practical ways. Think instant enrichment, faster feedback loops, and agents that act safely on live context.He liked the summit’s open, multi-technology format. It mirrors how real systems get built. His favorite threads connected Architectural Innovations with AI plus Stream Processing and the Streaming Lakehouse story.Catch the conversation to hear Matteo’s take on where streaming is headed and why openness across the ecosystem will decide who moves fastest.#data #ai #streaming #datastreamingsummit #theravitshow

From the floor of Data Streaming Summit 2025, I had the chance to sit down with Ashwin Raja from Motorq, a StreamNative customer, to talk about the real-world impact of streaming.Ashwin shared how his team turns live vehicle signals into immediate decisions, where waiting even a few minutes is not an option. Batch systems couldn’t keep up, so Motorq leaned into StreamNative to build reliable pipelines, manage costs, and move from event to action with confidence.We spoke about what excites him most over the next year: the intersection of streaming and AI, smarter enrichment, anomaly detection, and agents acting safely on live data. The Streaming Lakehouse vision also stood out, making analytics-ready data available without extra hops.Ashwin appreciated the open, multi-technology approach of this summit, which mirrors how real systems get built. His takeaways and reflections are in the episode now, watch the full conversation to hear how Motorq is shaping the future of connected-vehicle data with streaming.#data #ai #datastreamingsummit2025 #streamnative #theravitshow

AI that can actually help you build. I had a blast interviewing Vojta Tuma, Field CTO at Keboola, on The Ravit Show, we discussed AI assistants and MCP for data engineering!Here are a few key takeaways — • MCP turns a chatbot into a teammate. It can use tools, call APIs, and take actions. That is why it matters for engineers. • New workflows open up. You can sketch a pipeline in conversation, run a job, debug a failure, or trigger a transform from one place. • Safety is built in. Step by step permissions. Full logs. Reviews and approvals before changes go live. Propose a fix, dry run it, then merge. • The result is faster work without losing control. Less glue code. More time on the real problems.Let developers, analysts, and data engineers ship faster—AI handles the heavy lifting, Keboola keeps it reliable -- https://bit.ly/46Fkvt1Don’t forget to follow Keboola!!!!#data #ai #keboola #mcp #theravitshow

Last week at BDL, we caught up with my friend Pavel Dolezalžal, co-founder at Keboola - and let me tell you, this conversation was a ride.We started with Keboola Agents, which are already live and helping data teams debug pipelines, document, and automate safely inside a governed platform.Then Pavel dropped the big news: An open-source, conversational ETL pipeline generator - Osiris.You literally describe the problem, and Osiris drafts a transparent, deterministic YAML pipeline.You review, approve, commit - and it just runs. No black boxes, no daily AI gambling.That would be a big shift: AI proposes. Humans approve. Execution stays auditable.Too bold? Have a look for yourself!Links & Resources- Learn more about Keboola Agents: http://bit.ly/4pL6a7h- Explore Osiris on GitHub: https://github.com/keboola/osiris - Connect with Pavel on LinkedIn: https://www.linkedin.com/in/paveld/#data #ai #agents #keboola #theravitshow #dataengineering

I’m at Big Data London and just wrapped a conversation with Jordan Burger, Applied AI Lead at Keboola. He’s focused on building AI that data teams can trust in production, and he’s one of the builders behind Keboola Data Agents.Here’s what we got into:* Why a full data platform matters when AI needs real context, not just a few tables* The lifecycle context agents need that standalone tools never see* What breaks when AI only sees fragments of the data story* How platform-native AI handles messy data, lineage, policies, and tribal knowledge* Why context-aware implementation can matter more than the model itself* The role of historical data stores for agents and what this means for future architecturesJordan is on stage tomorrow to showcase this work. Both agents are live on the Keboola platform. Link in the description to spin up your first flow with your own data.If you’re at Big Data London, meet the Keboola team at Booth L40.#data #ai #bigdataldn2025 #keboola #theravitshow

Speed to insight wins. If analytics does not move faster than the business, it gets ignored.I caught up with the amazing Deborah from Alteryx at Big Data London to talk about what is working right now.We spoke about — • The floor is hands on this year. Fewer slides, more real builds • Alteryx One fits that mood. One place to prep, analyze, automate, and share so teams move faster • Customers are turning hours into minutes on routine work. More people can self serve without waiting in line • The edge is in clean handoffs. Less copy and paste, clearer ownership, smoother reviews • Next up is scale with control. Bring governance into the same flow so speed does not slipWe will keep the conversation going! Don’t forget to follow Deborah for the great work she does in the Data & AI space!!!!#data #ai #alteryx #theravitshow

Orchestration is where AI work meets reality. If it fails, everything slows.I caught up with Luke Lipan, Sales Leader for North America at Kestra, to get the view from the field.Here’s the signal:Execs start with risk and reliability. Is it visible. Is it repeatable.Teams love open source to move fast. Scale, support, and ownership tip them to enterprise.Security and governance are not add-ons. They decide the deal.Success is measured in fewer incidents, faster cycles, and cleaner handoffs. Cost is a result, not the target.Consolidation is happening. One platform beats a patchwork when the stakes rise.If you are at Big Data London, meet the Kestra team at Booth N48.#data #ai #bigdataldn2025 #kestra #theravitshow

Declarative beats duct tape. I spoke to Eddie Jaoude, Lead Education Engineer at Kestra at the Big Data London, to unpack how teams actually ship with modern orchestration.Here is the flow we covered:* Why defining workflows declaratively changes the game for developers coming from Python DAGs* How teams adopt Kestra step by step without a risky forklift migration* Using the Playground in Kestra 1.0 to test steps safely and tighten the feedback loop* Plugging into existing stacks with plugins and a language-agnostic design so you do not rewrite everything* The first usage patterns Eddie sees in the wild, from scheduled jobs and data pipelines to event-driven tasksClear takeaways. Fewer moving parts. Faster iteration. Stronger reliability.#data #ai #kestra #bigdataldn #theravitshow