Скачать с ютуб From Chaos to Clarity: how RVU built a scalable data stack on GCP | Google BigQuery в хорошем качестве

From Chaos to Clarity: how RVU built a scalable data stack on GCP | Google BigQuery

Discover how RVU transformed their data chaos into clarity with a scalable data stack built on Google Cloud Platform (GCP) in this concise explainer video. Learn the secrets behind integrating modern data stack tools like dbt, Google BigQuery, and Airflow to achieve unparalleled visibility and observability across your data pipelines, faster than ever before. In this video, we'll walk you through the process of connecting these powerful tools to orchestrate data workflows seamlessly, leveraging the capabilities of GCP to enhance your data engineering practices. Whether you're using dbt-core for data transformation or Google BigQuery for scalable analytics, you'll see how RVU's approach can streamline your data operations, making complex workflows manageable and efficient. Get an inside look at how RVU leverages tools like Snowflake alongside Google Cloud to optimize data pipelines, ensuring reliability and speed. If you're a data engineer or looking to optimize your organization's data stack, this video is for you. Explore more about how Orchestra can elevate your data strategy at https://getorchestra.io. Ready to transform your data workflows? Sign up today at https://app.getorchestra.io/signup. For more on integrations and how Orchestra works with tools like dbt, Airflow, and BigQuery, visit https://getorchestra.io/integrations. #GCP #dbt #GoogleBigQuery #Airflow #DataEngineering #Snowflake #Orchestra #CloudData #BigData #DataPipelines #GoogleCloud