Automations

Verify Data in Redash

⚡️ Automation

Verify Data in Redash 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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Automations

Verify Data in Redash

⚡️ Automation

Verify Data in Redash 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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Overview

Redash is a collaboration tool called Redash, which is primarily used for SQL-based data analysis. It serves as a platform for data visualization and collaboration in the context of business intelligence and data analytics. Redash offers a user-friendly interface that enables users to create new queries, visualize data, and share dashboards. By verifying data found in Redash through Secoda, organizations can ensure data governance at scale. This verification process is crucial for addressing data governance goals and providing end-users with confidence in using the most reliable data sources for their work. All types of resources, such as metrics, dictionary terms, documents, and tables, can be tagged as verified. Additionally, datasets can be automatically tagged as 'audit-verified' when changes are recorded and verified against governance policies, facilitating audit purposes.

How it works

Redash, as a query and visualization tool, doesn't have built-in features for comprehensive data cleaning. However, it offers several methods to verify data quality during the analysis process. Firstly, data previews allow you to get a quick glimpse at the initial rows of your query results. This can help identify formatting inconsistencies, missing values, or unexpected data types that might skew your analysis.

Additionally, Redash integrates with various data sources, and some sources might offer their own data validation features accessible through Redash queries. Finally, by crafting queries that utilize filters, aggregations, and joins, you can uncover data discrepancies. For instance, comparing sales figures from two different data sources within Redash can reveal inconsistencies that require further investigation. While Redash focuses on data exploration, it provides these techniques to help you gain confidence in the accuracy of your underlying information.

Integration with Redash allows you to verify data through Secoda. An Automation consists of Triggers and Actions. Triggers activate the workflow based on specific schedules, such as hourly, daily, or custom intervals. Actions encompass various operations like filtering and updating metadata. You can stack multiple actions to create customized workflows for your team. With Secoda, you can perform bulk updates to metadata in Redash.

About Secoda

Redash and Secoda have a strong integration that allows users to verify data through Secoda. Secoda acts as a comprehensive data management platform, consolidating data catalog, lineage, documentation, and monitoring. With its AI-powered data governance capabilities, Secoda seamlessly integrates with Redash, providing users with a reliable solution for data verification.

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