FirstEigen's DataBuck Essential Data Quality Module available in Azure Market Place

FirstEigen and Azure
“DataBuck enables data management professionals to flag data errors autonomously within Azure Ecosystem” – Angsuman Dutta, CTO, and Co-founder of FirstEigen.

FirstEigen, a data quality tool provider, has introduced the DataBuck Essential Data Quality Module on the Azure Market Place, which is aimed at assisting Azure users to autonomously identify inaccuracies in their data. This module utilizes AI and Machine Learning to detect data quality errors without requiring any coding. The software scans data assets within the Azure ecosystem, detects inaccuracies early on, and flags them to ensure that data owners have dependable and accurate data in their pipelines.

DataBuck Quality Module is an autonomous solution that enables data owners to detect errors quickly. It scans each data asset, identifies critical errors that may break the data pipeline, and automates the time-consuming process of coding rules and orchestration mechanisms to detect data issues. DataBuck Quality Module can be programmatically integrated into any data pipeline and works with various platforms such as Azure Data Lake, Databricks Delta Lake, Cosmos DB, Snowflake, Synapse, MSSQL, and many more.

The software flags critical data issues, alerts data engineers and teams, and sets thousands of validation checks for continuous data testing and data matching to monitor the health metrics and Data Trust Scores. DataBuck's machine learning algorithms generate an 11-vector data fingerprint that quickly identifies records with issues. This approach ensures customers have full transparency and more trust in their reports, analytics, and models. DataBuck lowers data maintenance and costs by $1 Mil for every $100 Mil in revenues and increases efficiency in scaling data quality operations by 10x.

FirstEigen's DataBuck Data Quality and Data Trustability Modules offer an alternative to Informatica Data Quality (IDQ) and could be a replacement for Informatica DQ as it provides autonomous solutions that don't require any coding. The results can be directly integrated into Informatica Axon, Alation or any other Data Governance tool. Interested customers can find out more about FirstEigen and DataBuck from the company website and social channels.

Azure Market Place Listing:

Contact Details:
Contact: Angsuman Dutta
Contact Number: +1-630 414 1231
Email Address: [email protected]
Country: United States

Machine Learning-Guided Cloud, Lake Data Monitoring and Validation Tool

DataBuck can validate your Big Data autonomously and at 10x the speed of any other data validation tool or your own custom scripts. Clean data in 3 clicks with no coding.