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    ETL Code Reverse Engineer

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    ETL Code Reverse Engineer enables users to extract detailed source-to-target mappings and data lineage directly for various components, including ETL processes, databases, SAS and multiple programming languages. It enhances visibility and streamlines data flow across complex systems and assets within an organization and facilitates efficient root cause analysis. With automated analysis, ETL Code Reverse Engineer supports improved data governance, compliance, and transformation initiatives, empowering organizations to manage their data ecosystems more effectively.

    Overview

    ETL Code Reverse Engineer is designed to provide organizations with deep visibility into their ETL (Extract, Transform, Load) processes, database systems and code files by automatically extracting source-to-target mappings and data lineage from them. This tool empowers data engineers, architects, and analysts to gain an understanding of how data moves and transforms across complex systems, supporting better data governance, compliance, and operational efficiency.

    With ETL Code Reverse Engineer, users can quickly analyze any code to uncover detailed mappings between data sources and targets, as well as visualize the entire data flow and transformation logic. The tool supports a wide range of ETL platforms databases, SAS and multiple programming languages, making it easy to integrate into existing data environments and workflows. By automating the extraction of data lineage and mappings, ETL Code Reverse Engineer eliminates the need for time-consuming manual documentation and reduces the risk of errors or omissions.

    Key Features:

    Automated Source-to-Target Mapping: Instantly extract and document how data fields are mapped from sources to targets within your ETL processes, databases, SAS code, and multiple programming language code files.

    Data Lineage: Visualize end-to-end data flows, including all transformations, joins, filters, and aggregations, for transparency.

    Multi-Platform Support: Compatible with popular ETL tools, databases and code formats, enabling seamless integration into diverse data ecosystems.

    Intuitive Visualization: Generate clear, interactive diagrams and reports that simplify the understanding of complex logic and dependencies.

    Reporting: Export lineage and mapping information in csv formats for collaboration, compliance, and audit purposes.

    Scalable Performance: Efficiently process large and intricate ETL pipelines, making it suitable for enterprise-scale data environments.

    Potential Benefits:

    Enhanced Data Governance: Maintain accurate, up-to-date documentation of data flows and transformations, supporting regulatory compliance and audit readiness.

    Accelerated Impact Analysis: Quickly assess the downstream effects of data changes or schema updates, reducing risk and improving change management.

    Improved Collaboration: Empower data teams with clear, accessible insights into their processes, fostering better communication and alignment.

    Reduced Manual Effort: Automate the extraction of lineage and mappings, freeing up valuable resources and minimizing documentation errors.

    ETL Code Reverse Engineer iseffective for organizations seeking to improve transparency, control, and efficiency in their data integration processes. Whether you are migrating data, implementing new analytics solutions, or strengthening your data governance framework, this tool can provides clarity and confidence to manage your data assets effectively.

    This is a professional services engagement to configure and deploy these agent(s) using AWS Generative AI services

    Highlights

    • Automated Mapping Extraction: Quickly extract detailed source-to-target mappings from ETL pipelines, database systems, SAS codes, several programming languages, minimizing manual effort and reducing documentation errors.
    • Data Lineage: Visualize end-to-end data flows and transformations, providing clear insights into how data moves and changes across systems.
    • Multi-Platform Compatibility: Compatible with popular ETL tools, databases and code formats, enabling effective integration into diverse data ecosystems.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Vendor support

    Please reach out to deloittedataassist@deloitte.com  for additional information and support.