Showing 3 open source projects for "code extract"

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    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    .NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write...
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    JARI - Just Another R Interface
    JARI (Just Another R Interface) is a comprehensive data science desktop suite engineered to guide researchers, students, and analysts through the entire data analysis lifecycle. By pairing a structured workflow with automated R code generation, JARI allows users to conduct rigorous statistical analysis without struggling with syntax—while keeping the full power of custom R scripting accessible for advanced users
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  • 3
    GIER SQL Pivot Table Reports

    GIER SQL Pivot Table Reports

    .NET app for Reporting, Data visualization, Analysis (MS SQL platform)

    ...It is used to query MS SQL database and presentation of data in the form of a report ( subtotals and grouping), Pivot Chart or Pivot Table. Can also be created a pure extract and after copy/paste can be manipulated in any spreadsheet. Easy to use,desktop, Windows, lightweight application. No need to install. If someone is willing to develop and joining the project, then will be made available the source code.
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