Showing 3 open source projects for "table"

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    AWS Data Wrangler

    AWS Data Wrangler

    Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.

    An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute...
    Downloads: 10 This Week
    Last Update:
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  • 2

    Informatica DBMetadata

    Java utility that reads the metadata from table(s)

    Dbmetadata is a Java utility that reads the metadata from table(s) in a specified database and creates the Informatica XML to import into the repository. I created this utility when we were migrating to a new platform and needed a quick way to create flatfile and relational sources and targets that matched the DDL of the table. I also needed to use shortcuts. If you use the import table list, it will create one XML file with all of the tables and shortcuts (if a shortcut folder is specified) for the requested output type and database/file type.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Toolsverse ETL Framework

    Toolsverse ETL Framework

    Open source Extract Transform Load engine written in Java

    ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements *...
    Downloads: 0 This Week
    Last Update:
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