Verify Data in Delta Lake

Verify Data in Delta Lake 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

Delta Lake is an open-source storage layer that can be used to store data and tables in a Lakehouse architecture. It is designed to work seamlessly with Apache Spark, providing additional features such as ACID transactions, scalable metadata handling, and data skipping with Z-order indexes. By verifying data found in Delta Lake through Secoda, organizations can ensure data governance at scale. This verification process allows end-users to have confidence in the reliability of the data they are using for their work. Various types of resources, including metrics, dictionary terms, documents, and tables, can be tagged as verified, providing an audit trail and ensuring compliance with governance policies.

How it works

Delta Lake excels in data verification through a combination of automated checks and schema enforcement. During writes, Delta Lake automatically validates the incoming data's schema against the existing table definition. This ensures all required columns are present, data types match, and column names are correct. Any discrepancies raise exceptions, preventing potential inconsistencies from entering the lake.

Furthermore, Delta Lake's time travel capabilities allow you to verify data quality at any point in history. You can query historical versions of your table and compare them with the current state to identify any data corruption or errors introduced during updates. This retrospective analysis empowers you to pinpoint issues and revert to a known good state if necessary. Delta Lake's focus on schema enforcement and time travel safeguards data integrity, fostering trust in the information stored within the lake.

Integration with Delta Lake 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 actions to create customized workflows that meet your team's requirements. Secoda enables bulk updates to metadata in Delta Lake.

About Secoda

Secoda's integration with Delta Lake allows users to verify data accuracy and reliability. By serving as an index of your company's data knowledge, Secoda consolidates data catalog, lineage, documentation, and monitoring into a single data management platform. This integration enhances data governance capabilities, providing a seamless experience for users.

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