#dataopstesting risultati di ricerca
Sure, Go Ahead And Feed That Data To The LLM … What Could Possibly Go Wrong? hubs.ly/Q03V211f0 #dataengineering #dataquality #dataobservability #dataops
Sure, Go Ahead And Feed That Data To The LLM … What Could Possibly Go Wrong? hubs.ly/Q03V20Yy0 #dataengineering #dataquality #dataobservability #dataops
Sure, Go Ahead And Feed That Data To The LLM … What Could Possibly Go Wrong? hubs.ly/Q03V20SQ0 #dataengineering #dataquality #dataobservability #dataops
DataOps-driven CI/CD for analytics repositories. arxiv.org/abs/2511.12277
In software engineering, test coverage is non-negotiable. So why do most data teams still ship data without knowing what’s tested—and what isn’t? hubs.ly/Q03SnDsw0 #dataquality #opensource #dataobservability #dataops
In software engineering, test coverage is non-negotiable. So why do most data teams still ship data without knowing what’s tested—and what isn’t? hubs.ly/Q03SnDt60 #dataquality #opensource #dataobservability #dataops
In software engineering, test coverage is non-negotiable. So why do most data teams still ship data without knowing what’s tested—and what isn’t? hubs.ly/Q03SnCD_0 #dataquality #opensource #dataobservability #dataops
DataOps helps turn messy data into meaningful insights. Get the full breakdown → bit.ly/4nWkuYp #DataOps #DataEngineering #CSM #USA
[status] Monitoring: The rollout with a fix is in progress, and we're no longer seeing errors, and are currently monitoring the incident and we are on the path of recovery. stspg.io/bbdxgwpv272q?u…
zenn.dev/praha/articles… この記事ではTestcontainersを活用したRDBテストの効率化について解説します。 Vitestの機能でDB接続のモックやデータクリーンアップを自動化し、テストコードを簡潔にします。 @praha/drizzle-factoryでテストデータ生成を簡略化し、保守性を向上させます。
Data testing is slow, painful, and rarely worth the effort at scale. Most devs skip to a quick sanity check and deploy — because with big data, full testing becomes nearly impossible and far too expensive. - Full dataset testing is mathematically impossible at scale — nobody's…
Exciting News! DataOps Data Quality TestGen is now compatible with Google BigQuery and can be used to profile and test file-based data accessible using Apache Iceberg and other file formats. hubs.ly/Q03SnFHy0 #dataengineering #dataquality #opensource #dataops
Exciting News! DataOps Data Quality TestGen is now compatible with Google BigQuery and can be used to profile and test file-based data accessible using Apache Iceberg and other file formats. hubs.ly/Q03SnBPH0 #dataengineering #dataquality #opensource #dataops
Exciting News! DataOps Data Quality TestGen is now compatible with Google BigQuery and can be used to profile and test file-based data accessible using Apache Iceberg and other file formats. hubs.ly/Q03SnC820 #dataengineering #dataquality #opensource #dataops
[status] Investigating: We are investigating loading issues on our web application. As a result, some users might be getting errors when loading the web application. Please note that data processing and alerts are not affected by thi… stspg.io/4mf4y6y1ft31?u…
Watch the On-Demand Webinar: Rebel With A Data Test: The Solo Data Quality Leader’s Playbook hubs.ly/Q03SnCDG0 #dataengineering #dataquality #opensource #dataobservability #dataops
Watch the On-Demand Webinar: Rebel With A Data Test: The Solo Data Quality Leader’s Playbook hubs.ly/Q03SnBV_0 #dataengineering #dataquality #opensource #dataobservability #dataops
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