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    XD Enterprise Data Lake with AWS S3, Glue & Lake Formation

     Info
    Architecture and implementation of a centralized, governed Data Lake on AWS enabling organizations to ingest, store, catalog, and analyze structured, semi-structured, and unstructured data at enterprise scale. XalDigital designs layered Data Lake solutions using Amazon S3, AWS Lake Formation, and AWS Glue with fine-grained governance, serverless querying via Amazon Athena, and seamless ML/AI integration.

    Overview

    The XD Data Lake Implementation solution delivers a fully architected, production-ready enterprise Data Lake on AWS, consolidating fragmented data silos into a centralized, governed, and analytics-ready platform. Designed for data engineering, analytics, and AI teams, this professional services engagement enables organizations to ingest data from diverse sources, apply consistent governance and cataloging, and serve structured and unstructured data to BI, machine learning, and operational reporting consumers through a single trusted platform. XalDigital designs Data Lake architectures using Amazon S3 as the scalable, cost-efficient storage foundation organized across raw, curated, and consumption zones. AWS Glue provides ETL orchestration, automated schema discovery, and the central Data Catalog for asset discoverability. AWS Lake Formation enables centralized, fine-grained access governance with column-level and row-level security policies applied across all data consumers. Amazon Athena delivers serverless, pay-per-query SQL execution over the data lake, while Amazon Redshift Spectrum enables direct S3 querying from the warehouse tier without data movement. AWS DataZone enables data marketplace capabilities for self-service discovery, data product publishing, and governed consumption across business domains. Each engagement delivers a fully operational Data Lake with documented ingestion pipelines, data quality rules, lineage tracking, catalog configuration, and consumer enablement for analytics and ML workloads. This product relates to the following AWS Services: Amazon S3, AWS Lake Formation, AWS Glue, Amazon Athena, Amazon Redshift Spectrum, AWS DataZone, Amazon CloudWatch, AWS IAM, and AWS Secrets Manager.

    Highlights

    • XalDigital implements a layered Data Lake architecture (raw, curated, consumption zones) using Amazon S3 for storage, AWS Glue for ETL and cataloging, and AWS Lake Formation for centralized governance with column-level and row-level security. Organizations gain a single trusted platform for all structured, semi-structured, and unstructured data with full lineage tracking and audit capabilities.
    • Amazon Athena provides serverless, pay-per-query SQL execution over the Data Lake without infrastructure management. AWS DataZone enables data marketplace capabilities for self-service discovery and governed data product consumption across business domains. Amazon Redshift Spectrum enables direct S3 querying from the warehouse tier, eliminating redundant data movement and reducing costs.
    • Every Data Lake implementation includes automated ingestion pipelines, data quality rules, AWS Glue Data Catalog configuration, and lineage tracking—ensuring downstream BI, SageMaker ML, and Bedrock AI workloads operate on reliable, governed data. XalDigital's AWS-certified data engineers deliver a production-ready platform aligned to Well-Architected Data Analytics best practices.

    Details

    Delivery method

    Deployed on AWS
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    Support

    Vendor support

    Support Contact dispatch@xaldigital.com 

    XalDigital provides the following support levels for this solution: • Data Discovery Workshop: Source system inventory, ingestion requirements, governance policy definition, and zone architecture design. • Implementation Support: AWS-certified data engineers for pipeline development, Lake Formation configuration, catalog setup, and consumer enablement. • Post Go-Live Hypercare: 15 business days of stabilization including pipeline monitoring, data quality validation, and governance tuning. • Extended Support (separate contract): New data source onboarding, zone expansion, SLA-based incident response, and catalog maintenance. • Documentation: Architecture guides, ingestion pipeline runbooks, data catalog documentation, and consumer training materials included.