Getting Started with Hyper-Converged Database(HCD)

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  • เผยแพร่เมื่อ 7 ก.พ. 2025
  • If you're a DataStax Enterprise user or looking for a more robust cloud-native Apache Cassandra® experience, this is an event you can't afford to miss. As the cloud-native infrastructure continues to gain traction, with 84% of organizations leveraging Kubernetes, DataStax is at the forefront of this movement with innovative solutions like K8ssandra and DataStax Astra. Hyper-Converged Database (HCD) is a self-managed option that encapsulates our extensive experience with cloud-native technology.
    This workshop is your ticket to mastering HCD, from initial setup to managing Cassandra workloads and exploring advanced features like the Data API and Vector Search for Generative AI applications. Discover how HCD differentiates from DataStax Enterprise and why it represents the future of your cloud-native data infrastructure. Learn to harness the power of scalability, elasticity, self-healing, and observability with HCD, ensuring your applications stay ahead of the curve.
    Join us and take the first step towards a more efficient and cloud-native Cassandra experience!
    Things you'll learn:
    --How to set up and deploy your first HCD cluster with Mission Control
    --Managing and optimizing Cassandra workloads with HCD
    --Utilizing the Data API for streamlined data modeling
    --Enhancing Generative AI applications with JVector integration
    --Differences between HCD and DataStax Enterprise and their complementary roles in your infrastructure
    RELATED RESOURCES
    --Get started with HCD: www.datastax.c...
    --HCD Docs: docs.datastax....
    --HCD TH-cam playlist on DataStax Developers: • Hyper-Converged Database
    About DataStax Developer:
    On the DataStax Developers TH-cam channel, you can find tutorials, workshops and much more to help you learn and stay updated with the latest information on Apache Cassandra©. Visit datastax.com/dev for more free learning resources.
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ความคิดเห็น • 2

  • @tejask
    @tejask 4 หลายเดือนก่อน

    Awesome explainer!

    • @DataStaxDevs
      @DataStaxDevs  4 หลายเดือนก่อน

      Thanks! --Erick 🍻