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    3. Data Observability on AWS: A Practitioner's Guide to Building Trustworthy Data Pipelines

    Data Observability on AWS: A Practitioner's Guide to Building Trustworthy Data Pipelines

    Posted By: TiranaDok
    Date: 12 Nov 2025 19:06:43
    Data Observability on AWS: A Practitioner's Guide to Building Trustworthy Data Pipelines

    Data Observability on AWS: A Practitioner's Guide to Building Trustworthy Data Pipelines by Leandro Calado
    English | August 5, 2025 | ISBN: N/A | ASIN: B0FLC5QBTQ | 185 pages | EPUB | 1.12 Mb

    Transform your data engineering practice from reactive firefighting to proactive observability with this comprehensive guide to building trustworthy data pipelines on AWS.
    What You'll Learn:
    • Master Great Expectations for automated data validation and quality checks
    • Implement comprehensive monitoring with AWS CloudWatch metrics, logs, and alarms
    • Leverage AWS Glue Data Catalog as your central observability hub
    • Build automated data quality gates that prevent bad data propagation
    • Design self-healing data pipelines with AWS Step Functions
    • Create collaborative data quality cultures within your organization
    Why This Book Matters: Data quality issues cost organizations millions of dollars annually. This book provides practical, hands-on solutions using AWS-native tools to ensure your data pipelines are reliable, observable, and trustworthy.
    What Makes This Different:
    • Real-world case studies from e-commerce, financial services, and IoT companies
    • Step-by-step implementation guides with code examples
    • Advanced patterns for anomaly detection and predictive quality
    • Complete CI/CD integration strategies
    • Future-ready approaches including AI/ML in data observability
    Perfect For:
    • Data engineers building production pipelines
    • Teams transitioning to cloud-native data architectures
    • Organizations seeking to improve data reliability and trust
    • Anyone working with AWS data services (Glue, Athena, S3, CloudWatch)
    Whether you're a seasoned data professional or new to data observability, this book provides the practical knowledge and tools you need to build data systems that your organization can trust.

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