Are you planning to migrate an older Cassandra-based application to DataStax Astra DB? Do you have questions, or are you not too sure on how to start? No worries; watch this video as Aaron Ploetz details the beginning steps of migrating a Cassandra cluster to Astra DB. Listen in as he covers important aspects to look for in peak times, table definitions, queries, and consistency levels. First part of a multi-part series, as Aaron demonstrates on DataStax's own legacy app, Killrvideo! 00:00:00 Introduction 00:01:25 Killrvideo 00:02:31 Peak times 00:03:12 Queries 00:04:08 Compaction strategies 00:06:51 Consistency levels 00:07:32 Vector Search 00:08:10 Conclusion ✨ Modernize your Cassandra Workloads: dtsx.io/cassandra ____________________ Additional Resources: • DataStax Developer Hub: https://dtsx.io/devhub • DataStax Blog: https://dtsx.io/howto • Try Langflow: https://dtsx.io/trylangflow • Try Astra DB: https://dtsx.io/40kQpI6 ____________________ Stay in touch: Follow us on X: https://x.com/DataStax Follow us on LinkedIn: Linkedin.com/company/DataStax
What's next for Your Apache Cassandra® deployment? Your Cassandra infrastructure has served you well. Now, you're facing decisions about modernization, cloud adoption, and supporting AI initiatives. We'll help you chart the right path forward – whether that's enhancing your current deployment, embracing Kubernetes, or going fully managed. Or any combination of the above!
What can we learn from AI-native development through stimulating conversations with developers, regulators, academics and people like you that drive forward development, seek to understand impact, and are working to mitigate risk in this new world? Join Charna Parkey and the community shaping the future of open source data, open source software, data in AI, and much more.
Hosted by DataStax Chairman & CEO Chet Kapoor, Inspired Execution is a Q&A-style #podcast series featuring bold, inspiring, transformative leaders in #AI and related fields. They share their unique perspectives, successes and failures, and the advice they’d give their younger selves. ------------ Episodes on Spotify, Apple Podcasts, or wherever you listen to your podcasts. https://www.datastax.com/resources/podcast/inspired-execution
Catch up on what you missed at The Data Heartbeat — a dynamic event hosted by DataStax, blending cutting-edge data discussions with a vibrant social atmosphere.The event showcased the latest innovations in data, AI, and cloud-native technologies, bringing together industry leaders, developers, and data enthusiasts from around the world.
Langflow is a low-code app builder for multi-agent AI, prompting, and RAG. Check out the videos and see how easy it is to get started!
Dive into the sessions, demos, and discussions from RAG++ Sydney, where developers, decision makers and AI enthusiasts explored cutting-edge advancements in Retrieval-Augmented Generation (RAG) and AI applications. This playlist features: Expert keynotes from industry leaders. Technical deep dives into RAG frameworks and tools. Inspiring use cases showcasing how RAG is transforming industries. Live demos of AI-powered solutions.
Catch up on what you missed from RAG++ in London! Hear from AI leaders from companies including Amplience, Bud, NBCUniversal, and Microsoft. And watch cool demos and in-depth tech talks from developers from DataStax, tldraw, Unstructured, and more.
The developer community and companies like Glean, HaiHai Labs, IBM, NVIDIA, and Unstructured were all at RAG++ NYC! Catch up on everything that happened and watch the sessions right here!