Showing 4 open source projects for "write"

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  • Error to trace to log to deploy. One click. No SSH. Icon
    Error to trace to log to deploy. One click. No SSH.

    Catch the cause before the pager goes off.

    AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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    Your monitoring isn't a stack. It's a pile. Fix that.

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  • 1
    Talend Spatial Module (aka Spatial Data Integrator or SDI) is an ETL tool for geospatial. Based on Talend Open Studio, input, output and transform geocomponents are available. IO components read/write GIS formats(eg.PostGIS, GeoRSS). Transformers all
    Downloads: 2 This Week
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  • 2
    FloatingBridge

    FloatingBridge

    Simple messaging \ Workflow \ETL system on MySql and .NET

    FloatingBridge is a simple messaging\ workflow system based on MySql and .NET. MySql is used as the backend engine for the system. The front-end is designed in .NET WPF (Windows Presentation Foundation). The business logic is handled by .NET windows services. The system provides an API which can be used to publish messages and pull subscribed messages out of the system. Therefore, this can be used as a messaging Hub in an organisation. The system also has the ability to...
    Downloads: 0 This Week
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  • 3
    COBOL Data Definitions
    Parse, analyze and -- most importantly -- use COBOL data definitions. This gives you access to COBOL data from Python programs. Write data analyzers, one-time data conversion utilities and Python programs that are part of COBOL systems. Really.
    Downloads: 1 This Week
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  • 4
    Cuelake

    Cuelake

    Use SQL to build ELT pipelines on a data lakehouse

    With CueLake, you can use SQL to build ELT (Extract, Load, Transform) pipelines on a data lakehouse. You write Spark SQL statements in Zeppelin notebooks. You then schedule these notebooks using workflows (DAGs). To extract and load incremental data, you write simple select statements. CueLake executes these statements against your databases and then merges incremental data into your data lakehouse (powered by Apache Iceberg). To transform data, you write SQL statements to create views and tables in your data lakehouse. ...
    Downloads: 0 This Week
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