Legacy system detection in Databricks 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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In the context of system and data migration, integration with Databricks through Secoda enables the detection of metadata from legacy systems. This integration helps ensure a smooth and secure migration process, minimizing the risk of manual errors and downtime. By setting rules and leveraging Secoda's capabilities, you can automate the identification and tagging of resources at scale, ensuring completeness and efficiency in the migration.
Secoda offers integration with Databricks, which allows for the detection of legacy systems through its Automations feature. Automations consist of Triggers and Actions. Triggers activate the workflow based on predefined schedules, such as hourly, daily, or custom intervals. Actions encompass various operations like filtering and updating metadata. These actions can be stacked to create customized workflows that cater to specific team requirements. With this integration, Secoda enables bulk updates to metadata in Databricks.
Databricks and Secoda can be used together for efficient data migration. Secoda acts as a comprehensive data management platform, consolidating your company's data catalog, lineage, documentation, and monitoring. By integrating Databricks with Secoda, you can streamline the process of migrating data, ensuring a smooth and organized transition.
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