CelerData Cloud BYOC Cluster Page Walkthrough
Join us for a quick tour of the CelerData BYOC cluster page—where you query data, trace performance, and keep an eye on your system in one place. What we’ll cover: ✅ SQL Editor: run queries, browse results, and work with sample tables (joins, views, MVs). ✅ Catalogs: default + external (Iceberg via Glue, Hudi, Delta Lake, JDBC) and how to organize databases/tables. ✅ Data Catalog view: see all catalogs, add/remove, and leave notes. Query History: filter by coordinator, query ID, duration, user, status, warehouse, and time range. ✅ Query Profile (DAG): step-by-step execution with time and memory breakdowns—scan times, CPU, I/O, pipelines, and per-node details. ✅ Monitoring: instance- and cluster-level charts for CPU, memory, disk, network, QPS, ingestion time, and p90–p99 latency. ✅ Admin/Audit: an admin view to extend history into an audit trail. ---------------------------------------------------------------------------------------------------------------------- Timestamps 00:00 Introduction 00:24 Cluster Overview Page: Open Cluster & Sign In 00:34 Editor Layout at a Glance 01:13 Demo Query: Students × Courses JOIN 01:49 Query History: Filters & Fields 02:20 Query Profile 03:33 Monitoring ---------------------------------------------------------------------------------------------------------------------- Learn more at https://celerdata.com/celerdata-cloud Connect with us: LinkedIn: https://www.linkedin.com/company/celerdata/ Twitter: https://twitter.com/celerdata CelerData Website: https://celerdata.com/ StarRocks GitHub: https://github.com/StarRocks/StarRocks StarRocks Website: https://www.starrocks.io/ Slack: https://starrocks.io/redirecting-to-slack #DataAnalytics #DataEngineering #RealTimeAnalytics #RealTimeData #OLAP #DataAnalyst #DataEngineer #DataInfrastructure #userfacinganalytics #Database #byoc #datalake #datalakehouse