Replicate staging to production in dbt with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.
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Integration with dbt, or data build tool, can greatly streamline the system and data migration process. dbt is a SQL-based transformation workflow that enables teams to collaboratively deploy analytics code following software engineering best practices. It allows for the modularization and centralization of analytics code, versioning, testing, and documentation of queries before deploying them to production. dbt provides guardrails typically found in software engineering, such as collaboration on data models, version control, and testing. By integrating with dbt, you can mitigate the risk of manual errors and downtime during system and data migration. With Secoda, a platform that facilitates the identification and tagging of resources at scale, you can automate the detection of legacy systems and ensure completeness in the migration process.
Integration with dbt through the Secoda Automations feature allows for the replication of staging data to production. The Automation consists of Triggers and Actions. Triggers enable the scheduling of the workflow, with options such as hourly, daily, or custom schedules. Actions encompass various operations, such as filtering and updating metadata, allowing for the creation of customized workflows. This integration enables bulk updates to metadata in dbt, providing a streamlined process for replicating staging data to production.
Secoda is a data management platform that acts as an index for your company's data knowledge. It brings together various aspects such as data catalog, lineage, documentation, and monitoring into one centralized platform. By leveraging dbt and Secoda, you can efficiently migrate data from staging to production, ensuring seamless replication.
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