Go Data Quality Tools

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Browse free open source Go Data Quality Tools and projects below. Use the toggles on the left to filter open source Go Data Quality Tools by OS, license, language, programming language, and project status.

  • Premier Construction Software Icon
    Premier Construction Software

    Premier is a global leader in financial construction ERP software.

    Rated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
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  • Say goodbye to broken revenue funnels and poor customer experiences Icon
    Say goodbye to broken revenue funnels and poor customer experiences

    Connect and coordinate your data, signals, tools, and people at every step of the customer journey.

    LeanData is a Demand Management solution that supports all go-to-market strategies such as account-based sales development, geo-based territories, and more. LeanData features a visual, intuitive workflow native to Salesforce that enables users to view their entire lead flow in one interface. LeanData allows users to access the drag-and-drop feature to route their leads. LeanData also features an algorithms match that uses multiple fields in Salesforce.
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  • 1
    lakeFS

    lakeFS

    lakeFS - Git-like capabilities for your object storage

    Increase data quality and reduce the painful cost of errors. Data engineering best practices using git-like operations on data. lakeFS is an open-source data version control for data lakes. It enables zero-copy Dev / Test isolated environments, continuous quality validation, atomic rollback on bad data, reproducibility, and more. Data is dynamic, it changes over time. Dealing with that without a data version control system is error-prone and labor-intensive. With lakeFS, your data lake is version controlled and you can easily time-travel between consistent snapshots of the lake. Easier ETL testing - test your ETLs on top of production data, in isolation, without copying anything. Safely experiment and test on full production data. Easily Collaborate on production data with your team. Automate data quality checks within data pipelines.
    Downloads: 3 This Week
    Last Update:
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