Data Quality tools have to be dynamic in terms of metrics, summaries and visualizations. Some of the popular tools for the modern data quality assessment are listed below.
This offers end-to-end data quality tools to help you understand the relationships of a data file, and also to analyze and monitor data quality continuously, cleanse, standardize and match data and maintain data lineage.
Qualdo’s data quality assessment tools probes data from multiple aspects that are considered to be critical for downstream data activities. This tool enables data teams to be continuously on-top of data quality.
The solution helps to manage data quality in big data, for scenarios like business intelligence, data warehousing, application migration and master data management projects.
This tool is built specifically to do data checkups for Hadoop clusters. This tool offers end-to-end integration and governance capabilities for Hadoop data.
This tool helps to build and test data business rules without relying on IT. Helps in delivery of high-quality information through efficient data standardization, validation, enrichment, de-duplication, and consolidation capabilities.
This tool helps in creating and running data validation rules, and monitor data quality through scorecards. Also, provides capability for cataloging the metadata across their system landscape, analyzing and understanding the relationships of their enterprise data.
This tool helps in addressing data quality issues without requiring to move data to a different platform. Provides quality validation capabilities aimed at, making the job of profiling and problem identification easy, preview data, and set up repeatable processes to maintain a high level of data quality.
This tool combines data integration, integrity, and governance in a single, unified platform. The Talend Trust Score provides summarized view data in terms of its quality, relevance, and popularity keeping every stake-holder informed and confident that they’re getting the data they need.
The effectiveness of a data quality assessment depends on how well scientifically a dataset is questioned
Qualdo promises a no-stone-unturned view of data quality through critical data quality metrics