The best data tool for your unique data stack. Connect all your data sources to Secoda in seconds and access your lineage, docs, dictionary, all in one place!
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Connecting Databricks to Great Expectations can provide numerous benefits, such as easily validating, monitoring and profiling data on an automated basis, having the ability to create automated data pipelines with data engineering and data science libraries, and being able to easily create and integrate advanced visualizations.
Book a demoGreat Expectations and Databricks can be connected through the utilization of the Great Expectations library for Apache Spark. This library allows users to seamlessly integrate data quality testing into their Databricks workflow by automating the execution of expectations and validating the results within Databricks. Through this connection, users can easily assess and improve their data quality.
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Connecting Great Expectations and Databricks to Secoda will allow users to quickly find and understand data, improve data governance and build trust in data. Additionally, users will be able to quickly identify data errors, reduce data latency and improve data quality.
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We’ve built Secoda as a single place for all incoming data and metadata, a single source of truth. Collecting and analyzing essential to ensuring your company is making the right decisions and moving in the right direction. Secoda gives every employee a single plane they can go to in order to find, understand and use company data.
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