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    FirstEigen launches data observability platform for AWS S3 Data Lake

    DataBuck is an autonomous data quality validation software that automatically detects data errors as data files lands in AWS S3. It is more than 10x faster than any traditional approach.

    FirstEigen, the Autonomous Data Validation Company, announced the general availability of DataBuck for AWS S3.

    “Current data monitoring and validation tools and processes fare very poorly under conditions like Cloud/Lake use, high volume of data, and new sources or changing structures of data, among others. That’s where DataBuck comes into the picture,” says Angsuman Dutta, CTO and co-founder of FirstEigen.

    Dutta says DataBuck will enable data lake owners to detect data errors as it lands in AWS S3.

    It scans each data asset for presence of data following types of data errors:

    • Changes in Data Schema
    • Changes in Data Profile
    • Presence of Duplicates
    • Anomalous volume and value
    • Data Drift

    With DataBuck, data owners do not need to write data validation rules or engage the data engineers to perform any tasks. DataBuck uses machine learning algorithms to generate an 11-vector data fingerprint to identify records with issues.

    Another impressive feature is that the Data Fingerprint approach reduces rework and false positives. For a Fortune 500 healthcare company, DataBuck reduced false alerts related to data quality issues in the eligibility files by 75%. More importantly, it detected 100% of all critical issues. This helped the company provide better customer service and recognize revenue faster.

    https://youtu.be/_owAAwpH7oU

    DataBuck also autonomously creates data health metrics specific for each data asset. The well-accepted and standardized metrics are customized for every data set, individually leveraging AI/ML algorithms, and published in the Alation data catalog using Alation’s Open Data Catalog Framework.

    Health metrics are computed based on quality dimensions for each column in the data asset and monitored over time to detect unacceptable data errors. Health metrics are translated to a data trust score.

    In addition, DataBuck continuously monitors the health metrics and trust score and alerts users when the trust score becomes unacceptable. It features a one-click integration with AWS S3. FirstEigen stressed that no data moves out of AWS S3, and it is focused on errors that matter.

    FirstEigen is the creator of award-winning software DataBuck which detects data quality errors without coding by leveraging AI/ML. Machine Learning powers data quality testing and data matching to automatically set thousands of automated data validation checks and their thresholds.

    Those who want to learn more about FirstEigen, as well as the benefits of Databuck, may visit the website and its social channels for more information.

    Contact Details

    Business Name: FirstEigen

    Contact Person: Angsuman Dutta

    Contact Email: [email protected]

    Contact Number: 6304141231

    Country: United States

    Website: https://firsteigen.com/

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