Datastrato

Are you going to be at Amazon Web Services (AWS) Re:Invent next week? Make sure you don't miss our on our cohosted AWS Rock'n Roll Afterparty, happening on December 3rd at 6PM! You'll get the chance to hang out with our team and other amazing data companies all in one, while showing off your sick bowling skills ?? Sign up here using this link: https://lnkd.in/g6CJJ_xn

Have you heard of Apache Gravitino? If not- you can catch up really quickly with this talk from #CommunityOverCodeAsia by our community manager and The Apache Software Foundation's incubator VP, Justin Mclean. In this talk, Justin discusses the basics of Gravitino for engineers and data professionals and some of it's forward facing features. https://lnkd.in/ggTu7Jg4

Thank you to everyone who joined us on Friday for the SF Tech Week Llama Lounge hosted at SAP Labs! It was a fantastic time joining as one of the startups focused on innovating in Enterprise AI. Thank you Jeremiah Owyang for having us! Datastrato's Lisa was there to provide live demonstrations and introduce folks to the Apache Gravitino project, including how our company leverages the open source data catalog for AI data management.

We are so excited to be one of the startups included in Cohort #4!

Meetup Monday: Here's what's upcoming ??? Save your spot now! ???? Oct 2 Berlin at Google with Neo4j, Google Cloud and Zillliz: https://lnkd.in/dTJBJczu? ??? Oct 8 SF with BentoML, Datastrato, and Zilliz: https://lu.ma/itp2xgaw ?? Oct 23 NYC with Datastrato, Unstract and Zilliz: https://lu.ma/naqu6xrd ?? BONUS: Sep 26 Webinar with Fivetran "Build AI-powered Search for Every Data Source with Fivetran and Milvus" https://lnkd.in/gtuWHug3 #AI #ML #Meetups #Milvus #VectorDB

As part of the excitement around #Current24, Datastrato is excited to announce that we are now officially part of the Confluent Partner Program! As part of this program, Confluent users will be able to connect with us and use our metalake and unified catalog services- both with Apache Kafka, Apache Iceberg, and Flink and manage their sources. To engage with us on the portal, follow this link: https://lnkd.in/gWY3JYdV

?? Introducing Apache Gravitino 0.6.0 (incubating) – Packed with new Features and Improvements! The first ASF release of Gravitino 0.6.0 is out, bringing many updates and enhancements over our previous release. Here's a quick overview: ?? Unified Role-Based Access Control (RBAC) Model Access control just got easier. Gravitino now features a unified RBAC model, allowing centralized authorization for different securable objects. Roles and permissions can now be pushed down to systems like Apache Ranger, with IAM support coming soon. ?? Modular Iceberg REST Catalog Service? Gravitino's Iceberg REST catalog service is now modularized. Version 0.6.0 supports standalone deployment, S3 cloud storage, and the latest Iceberg version 1.5.2. ??? Tagging Support Metadata tagging is here for enhanced data discovery and governance. Tag-based access control will be available in future releases. ?? Flink Gravitino Connector Apache Flink joins Trino and Apache Spark as supported query engines in Gravitino. The Flink Gravitino connector supports Hive tables. ?? Apache Paimon Table Management Managing Paimon tables in your lakehouse is now unified in Gravitino. Take advantage of our API to manage Paimon effortlessly. ?? Python GVFS Support Gravitino 0.6.0 introduces Python GVFS support, which is compatible with frameworks like Apache Arrow, Pandas, and Ray. ?? Other Enhancements - Improved API and client experience for Java and Python For full release details and resolved issues, check out [Gravitino 0.6.0 on GitHub](https://lnkd.in/g2ZjvkmG). Thanks go to the Gravitino community for your continued support. This release would not exist without their contributions and feedback. ?? #ApacheGravitino #ApacheIceberg #DataCatalog #Metadata #DataGovernance

Last week, Tobias Macey interviewed our CEO Junping Du on his incredible podcast, #DataEngineeringPodcast. "As data architectures become more elaborate and the number of applications of data increases, it becomes increasingly challenging to locate and access the underlying data. Gravitino was created to provide a single interface to locate and query your data. In this episode Junping Du explains how Gravitino works, the capabilities that it unlocks, and how it fits into your data platform." Check it out below or on your favorite podcast platform: Podcast Website - https://lnkd.in/gkcY_8v5 Apple Podcasts - https://lnkd.in/gZj7AjeK Spotify - https://lnkd.in/gg_TfnwP Youtube - https://lnkd.in/gG29e5_V

Can't wait! This will be an amazing event.

Building a knowledge assistant oftentimes requires connecting to lots of sources of data (e.g. vector db + SQL), but a big issue in enterprise LLM dev is data silos ?? - every new data source requires separate authentication management, and knowledge is spread out between teams. This is a nice tutorial by Lisa N. Cao showing you how to build a universal data agent with LlamaIndex + Apache Gravitino. Gravitino provides you a single source of truth to connect both your vector database and SQL tools. Blog: https://lnkd.in/gjvT9_WU To some extent, we’re also building towards that with RAG pipelines in LlamaCloud! If you’re interested sign up here: https://lnkd.in/gi8dxGnt