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Vertica
Data quality tools for Vertica
Data quality tools measure how good and useful a data set is to serve its intended purpose. High quality data can lead to better decision-making and faster insights as well as reduce the costs of identifying and dealing with bad data in the system. It can also save time and allow companies to focus on more important tasks.
Dataedo
Dataedo is a data governance & data catalog tool that helps you ensure data quality while documenting data. It allows you to understand where your data is coming from through data lineage, peak into values itself to validate quality with data profiling, and gather invaluable feedback from the community.
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BigID
BigID offers actionable data intelligence by empowering you to find, classify, catalog, profile and get context for all your data in the cloud or data-center, at-rest or in-motion, structured or unstructured at petabyte scale. It lets you identify sensitive data using hundreds of pre-built NLP, Deep Learning, and pattern classifiers.
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Qualdo
Qualdo is a single, centralized tool to measure, monitor, and improve data quality from all your cloud database management tools and data silos. It lets you deploy powerful auto-resolution algorithms to track and isolate critical data issues. Take advantage of robust reports and alerts to manage your enterprise regulatory compliance.
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CloverDX
CloverDX's data quality features offer you automated data quality and error handling for your workflows. With CloverDX's data quality features, you can discover and deal with bad data fast. You can automate bad data identification & correction, rule definitions, and reports on data quality. In short, CloverDX gives you the ability to make better decisions with more trustworthy data.
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Data quality tools are the scripts that support the data quality processes and they heavily rely on identification, understanding, and correction of data errors. Data quality tool enhances the accuracy of the data and helps to ensure good data governance all across the data-driven cycle.
The common functions that each data quality tools must perform are:
• Data profiling
• Data monitoring
• Parsing
• Standardization
• Data enrichment
• Data cleansing
Choosing the right data quality tool is essential and impacts the final results. To help you with the right selection, we prepared a list of tools that will assist you with maintaining a high level of data quality.