Verify Data in Hive 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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One way to ensure data governance at scale is to verify the data found in Hive through Secoda. Apache Hive is a data warehouse infrastructure that allows users to read, write, and manage large datasets using SQL-like queries. By verifying the resources in Hive, end-users can have confidence that they are using the best source for their work. This verification process can be applied to various types of resources, such as metrics, dictionary terms, documents, and tables. Additionally, datasets can be automatically tagged as 'audit-verified' when changes are recorded and verified against governance policies, which can be useful for audit purposes.
While Hive itself isn't designed for deep data cleaning, it offers valuable tools to verify data quality. Hive leverages existing data structures by enforcing data types during table creation. This helps prevent inconsistencies like inserting strings into integer columns.
Additionally, HiveQL queries can be used to analyze data distribution. Counting null values, identifying outliers with functions like `min` and `max`, and using `group by` with aggregation functions can reveal potential issues. For instance, grouping by a product category and checking for negative sales figures might indicate data entry errors. By utilizing these techniques, you can gain insights into data health and pinpoint areas that might require further cleaning before using the data for analysis in Hive.
Integration with Hive 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, including filtering and updating metadata. You can stack actions to create customized workflows for your team's requirements. Secoda enables bulk updates to metadata in Hive.
Secoda's integration with Hive allows users to verify data through the platform. Secoda serves as an index of your company's data knowledge, consolidating data catalog, lineage, documentation, and monitoring into a single data management platform. With its robust integration, Secoda acts as an AI data governance platform for Hive.
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