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Ultimate AWS Data Engineering

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Title: Ultimate AWS Data Engineering
Description: In today's data-driven era, mastering AWS data engineering is key to building scalable, secure pipelines that drive innovation and decision-making. Ultimate AWS Data Engineering is your comprehensive guide to mastering the art of building robust, cost-effective, and fault-tolerant data pipelines on AWS. Designed for data professionals and enthusiasts, this book begins with foundational concepts and progressively explores advanced techniques, equipping you with the skills to tackle real-world challenges. Throughout the chapters, you'll dive deep into the core principles of data replication, partitioning, and load balancing, while gaining hands-on experience with AWS services like S3, DynamoDB, Redshift, and Glue. Learn to design resilient data architectures, optimize performance, and ensure seamless data transformation—all while adhering to best practices in cost-efficiency and security. Whether you aim to streamline your organization's data flow, enhance your cloud expertise, or future-proof your career in data engineering, this comprehensive guide offers the practical knowledge and insights you need to succeed. By the end, you will be ready to craft impactful, data-driven solutions on AWS with confidence and expertise.
Authors: Rathish Mohan, Shekhar Agrawal, Srinivasa Sunil Chippada
Resource Type: eBook.
Subjects: Electronic data processing--Distributed processing, Computers, Cloud computing, Software engineering
Categories: COMPUTERS / Software Development & Engineering / General
Database: eBook Collection (EBSCOhost)
FullText Links:
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  Availability: 0
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RelevancyScore: 1129
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1129.38305664063
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  Data: In today's data-driven era, mastering AWS data engineering is key to building scalable, secure pipelines that drive innovation and decision-making. Ultimate AWS Data Engineering is your comprehensive guide to mastering the art of building robust, cost-effective, and fault-tolerant data pipelines on AWS. Designed for data professionals and enthusiasts, this book begins with foundational concepts and progressively explores advanced techniques, equipping you with the skills to tackle real-world challenges. Throughout the chapters, you'll dive deep into the core principles of data replication, partitioning, and load balancing, while gaining hands-on experience with AWS services like S3, DynamoDB, Redshift, and Glue. Learn to design resilient data architectures, optimize performance, and ensure seamless data transformation—all while adhering to best practices in cost-efficiency and security. Whether you aim to streamline your organization's data flow, enhance your cloud expertise, or future-proof your career in data engineering, this comprehensive guide offers the practical knowledge and insights you need to succeed. By the end, you will be ready to craft impactful, data-driven solutions on AWS with confidence and expertise.
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RecordInfo BibRecord:
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    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Electronic data processing--Distributed processing
        Type: general
      – SubjectFull: Computers
        Type: general
      – SubjectFull: Cloud computing
        Type: general
      – SubjectFull: Software engineering
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      – TitleFull: Ultimate AWS Data Engineering
        Type: main
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
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              Value: 9789348107947
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