Datastrato

“You can have the most technically beautiful and rigorous AI/ML system and can still get the wrong answer because you didn’t include domain experts. I think we need people with a bird’s eye view more than ever these days.” As we close out Women’s History Month, we’re still soaking up all the expert insights for driving enterprise AI success from our recent webinar with Datastrato AI/ML Product Manager Lisa N. Cao, Anaconda Director of Product Content Jess Haberman, and Invinite Senior Data Engineer and Co-Founder Eevamaija Virtanen. Learn how to… – Build trust and drive AI literacy across teams – Bridge technical-business gaps – Create scaleable frameworks for AI education – Transform organizational culture to support innovation Watch their full conversation on-demand: https://bit.ly/4c8h0h7

🚀 Recap: Data for AI Presents – The Open Source Afterparty! 🚀 Our #OpenSourceAfterparty with the Data for AI Community was an electrifying gathering of top minds in AI, data infrastructure, and machine learning! From deep dives into multi-agent apps to scaling Iceberg adoption, the evening was packed with insights, innovation, and networking. 🔑 Key Talks: ✅ Melissa Herrera (DataStax, Langflow) – Building Multi-Agent Apps with Langflow ✅ Taejin Park (NVIDIA) – Deep Learning Innovations ✅ Pucheng Yang (Pinterest) & Jerry (Saisai) Shao (Datastrato) – Scaling Iceberg Adoption with Apache Gravitino ✅ Anushrut Gupta (Hasura) – Beyond RAG & Context Windows: Building Advanced AI Agents on Enterprise Data 🙏 A huge thank you to our speakers, attendees, and Datastrato for sponsoring this fantastic event! It was amazing to connect with so many brilliant minds pushing the boundaries of AI and open-source innovation. 💬 What was your biggest takeaway from the event? Let’s keep the conversation going! 📢 Exciting news! We are also partnering with Data Council to provide community tickets at a discount! 🎟️ Use "DATAFORAI20" at checkout to save on your ticket. Don’t miss out on more insightful discussions! #OpenSource #AI #DataEngineering #MachineLearning #ApacheIceberg #Datastrato #Networking #AIInnovation

📢 Datastrato at Iceberg Summit 2025! 🚀 We’re excited to have Pucheng Yang (Senior Software Engineer, Pinterest) and Jerry (Saisai) Shao (CTO, Datastrato) speaking at Iceberg Summit 2025 on April 9! They will dive into Scaling Iceberg Adoption at Pinterest with Gravitino, sharing insights on tackling performance challenges, enhancing metadata management, and optimizing Iceberg’s governance with Gravitino. If you're passionate about big data, Apache Iceberg, and the future of open-source data infrastructure, this is a session you won’t want to miss! 🔗 Register now to join the conversation! https://lnkd.in/g9tPuX8T #IcebergSummit #BigData #ApacheIceberg #Gravitino #OpenSource #DataEngineering #Datastrato #Pinterest

Enterprise data infrastructure is simultaneously a call and response to every technological shift — it both enables new products and businesses, while simultaneously evolving to support the demands created by these same innovations. Over the last fifty years, we’ve progressed from traditional on-premise data warehouses to cloud-native data warehouses and data lakes. Today, we’re at an exciting inflection point for the landscape as we’re evolving quickly past the modern data stack due to multiple catalysts that are ushering in a post-modern Data 3.0 era. For one, as we noted last year, AI’s proliferation has led to profound changes within the AI infrastructure landscape. But in the midst of this major technological shift, another tectonic transformation is afoot. The very core of enterprise data infrastructure is being reimagined due to the impact of a revolutionary architectural paradigm—the data lakehouse—which supports multiple use cases, from analytics to AI workloads, in a powerful, interoperable platform. The lakehouse paradigm doesn’t just represent a marginal improvement to the architectures that came before it. Rather, it is a radical transformation that will bring forth an era of unprecedented interoperability and set the stage for the next wave of multi-billion-dollar data infrastructure giants to emerge. Our full Data 3.0 roadmap here including 4 thesis areas that Lauri J. Moore and I are tracking closely: https://lnkd.in/gAkxqb5b

It's a great honor to share our works with Pinterest to the meetup. We will share more on the Iceberg Summit, come to see our talk at April 9.

Thank you to everyone who came to the #OpenSourceAfterParty hosted by the Data for AI meetup at SEAMATE! Our team had a fantastic time, and can't wait to catch you all at the next one!

We know choosing which events to attend during a jam-packed GTC week can be challenging, so we were excited to see everyone of you at our GenAI Assembling Meetup on the evening of March 20th! Our guest speaker, Xiaohuang (Victor) huang, Founder of Manycore Tech, sat down with Thomas Luo to share his entrepreneurial journey after leaving NVIDIA. He spoke about the rise of Manycore Tech and offered his insights into spatial intelligence, physical AI, and embodied intelligence. We also welcomed two distinguished speakers — Yifeng Yin, former ML Engineer at Hugging Face, and Junping Du, CEO of Datastrato — for a dynamic panel discussion moderated by Zhaoyang Wang. With over a decade of experience as open-source contributors and now startup founders, they explored the evolving open-source AI landscape and reflected on the balance between openness and commercialization. Couldn’t make it? No worries — we’ll be sharing a full transcript soon. 👉 Subscribe for updates: https://lnkd.in/dzMZFWKn Special thanks to our event partners, Eric Liu (BentoML) and Jing Li (Q Bay), for their tremendous support throughout the event process. 💡 Up next: our April meetup will dive into how innovative AI tools are revitalizing traditional industries and SMBs. Stay tuned! #GenAI #AIInnovation #OpenSourceAI #TechMeetup #GTC2025 #AIStartups

Catch our product manager Lisa N. Cao at the conference, and learn about managing Postgres Tables alongside your data lakes, filesets, and models with enhanced governance and federation capabilities!

🚀 Effortless AI Asset Management with Apache Gravitino! 🔥 Managing large AI models and datasets just got easier! Apache Gravitino now supports seamless Fileset & Model Management, enabling scalable and efficient AI workflows. 🔹 Key Features: ✅ Store & manage AI assets across HDFS, S3, and GCP ✅ Model versioning for better tracking & reproducibility ✅ Centralized cataloging for structured & unstructured AI data With Gravitino, handling AI models, filesets, and metadata has never been more efficient. Ready to optimize your AI pipeline? 📺 Watch the demo & explore the latest features! 👇https://lnkd.in/gv9zEw_y 🔗 Explore [Apache Gravitino]:https://lnkd.in/gAtVv3NW #AI #DataEngineering #MachineLearning #ModelManagement #ApacheGravitino #BigData #CloudStorage #Datastrato

🎙️ Upcoming Timeplus Live webinar: How to Stream Data into #ApacheIceberg with Timeplus: Efficient and Elastic In this month's webinar, Jove Zhong (our Head of Product) interviews Lisa N. Cao (Product Manager at Datastrato) to discuss Apache Iceberg and its open format and catalog. Jove will demo the first pure #C++ implementation of reading from/writing to Iceberg, open-sourced by Timeplus. Ken Chen (our Chief Architect) also joins to share more new features in Timeplus: auto-scaling materialized views, #S3 tiered storage, what's new in Timeplus Proton, and more. ⏰ WHEN: Tue Mar 25, 10am PT 📍 WHERE: Virtual (access via LinkedIn Live or Zoom) 👉 Register today to save your spot! If you can't make it, register anyways and we'll send you a recording of the session.