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AWS Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
Language: English
Published by O'Reilly Media (edition 1), 2025
ISBN 10: 1098170075 ISBN 13: 9781098170073
Paperback. Condition: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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AWS Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good. Cover and edges may have some wear.
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Condition: As New. Unread book in perfect condition.
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Paperback. Condition: New. There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in the technology-driven future.Authors Sakti Mishra, Dylan Qu, and Anusha Challa equip you with the knowledge and sought-after skills necessary to effectively manage data and excel in your career. Whether you're a data engineer, data analyst, or machine learning engineer, you'll discover in-depth guidance, practical exercises, sample questions, and expert advice you need to leverage AWS services effectively and achieve certification. By reading, you'll learn how to:Ingest, transform, and orchestrate data pipelines effectivelySelect the ideal data store, design efficient data models, and manage data lifecyclesAnalyze data rigorously and maintain high data quality standardsImplement robust authentication, authorization, and data governance protocolsPrepare thoroughly for the DEA-C01 exam with targeted strategies and practices.
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Aws Certified Data Engineer Associate Study Guide : In-depth Guidance and Practice
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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AWS Certified Data Engineer Associate Study Guide
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in the technology-driven future.Authors Sakti Mishra, Dylan Qu, and Anusha Challa equip you with the knowledge and sought-after skills necessary to effectively manage data and excel in your career. Whether you're a data engineer, data analyst, or machine learning engineer, you'll discover in-depth guidance, practical exercises, sample questions, and expert advice you need to leverage AWS services effectively and achieve certification. By reading, you'll learn how to:Ingest, transform, and orchestrate data pipelines effectivelySelect the ideal data store, design efficient data models, and manage data lifecyclesAnalyze data rigorously and maintain high data quality standardsImplement robust authentication, authorization, and data governance protocolsPrepare thoroughly for the DEA-C01 exam with targeted strategies and practices.
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AWS Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In English.
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paperback. Condition: New.
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Amazon Redshift Cookbook
Language: English
Published by Packt Publishing Limited, GB, 2025
ISBN 10: 1836206917 ISBN 13: 9781836206910
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Amazon Redshift Cookbook provides in-depth guidance on utilizing AWS's Amazon Redshift. This book covers its architecture, administration, query optimization, ETL, security, scaling, and using generative AI for scalable analytics.
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Aws Certified Data Engineer Associate Study Guide : In-depth Guidance and Practice
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Amazon Redshift Cookbook: Recipes for building modern data warehousing solutions
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 44.65
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Aws Certified Data Engineer Associate Study Guide: In-depth Guidance and Practice
Language: English
Published by Oreilly & Associates Inc, 2025
ISBN 10: 1098170075 ISBN 13: 9781098170073
Paperback. Condition: Brand New. 300 pages. 9.19x7.00x9.19 inches. In Stock.
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Paperback. Condition: New. There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in the technology-driven future.Authors Sakti Mishra, Dylan Qu, and Anusha Challa equip you with the knowledge and sought-after skills necessary to effectively manage data and excel in your career. Whether you're a data engineer, data analyst, or machine learning engineer, you'll discover in-depth guidance, practical exercises, sample questions, and expert advice you need to leverage AWS services effectively and achieve certification. By reading, you'll learn how to:Ingest, transform, and orchestrate data pipelines effectivelySelect the ideal data store, design efficient data models, and manage data lifecyclesAnalyze data rigorously and maintain high data quality standardsImplement robust authentication, authorization, and data governance protocolsPrepare thoroughly for the DEA-C01 exam with targeted strategies and practices.
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Condition: New.
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Paperback. Condition: New. There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in the technology-driven future.Authors Sakti Mishra, Dylan Qu, and Anusha Challa equip you with the knowledge and sought-after skills necessary to effectively manage data and excel in your career. Whether you're a data engineer, data analyst, or machine learning engineer, you'll discover in-depth guidance, practical exercises, sample questions, and expert advice you need to leverage AWS services effectively and achieve certification. By reading, you'll learn how to:Ingest, transform, and orchestrate data pipelines effectivelySelect the ideal data store, design efficient data models, and manage data lifecyclesAnalyze data rigorously and maintain high data quality standardsImplement robust authentication, authorization, and data governance protocolsPrepare thoroughly for the DEA-C01 exam with targeted strategies and practices.
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Taschenbuch. Condition: Neu. AWS Certified Data Engineer Associate Study Guide | In-Depth Guidance and Practice | Anusha Challa (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | O'Reilly Media | EAN 9781098170073 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Amazon Redshift Cookbook
Language: English
Published by Packt Publishing Limited, GB, 2025
ISBN 10: 1836206917 ISBN 13: 9781836206910
Paperback. Condition: New. Amazon Redshift Cookbook provides in-depth guidance on utilizing AWS's Amazon Redshift. This book covers its architecture, administration, query optimization, ETL, security, scaling, and using generative AI for scalable analytics.
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Aws Certified Data Engineer Associate Study Guide: In-depth Guidance and Practice
Language: English
Published by Oreilly & Associates Inc, 2025
ISBN 10: 1098170075 ISBN 13: 9781098170073
Paperback. Condition: Brand New. 300 pages. 9.19x7.00x9.19 inches. In Stock. This item is printed on demand.
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Condition: New. Print on Demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Set up a petabyte-scale, cloud-based data warehouse that is burstable and built to scale for end-to-end analytical solutionsFree with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key Features: Learn how to translate familiar data warehousing concepts into Redshift implementation Use impressive Redshift features to optimize development, productionizing, and operation processes Find out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queries Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Amazon Redshift Cookbook offers comprehensive guidance for leveraging AWS's fully managed cloud data warehousing service. Whether you're building new data warehouse workloads or migrating traditional on-premises platforms to the cloud, this essential resource delivers proven implementation strategies. Written by AWS specialists, these easy-to-follow recipes will equip you with the knowledge to successfully implement Amazon Redshift-based data analytics solutions using established best practices.The book focuses on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. The book covers recipes to help you take full advantage of Redshift's columnar architecture and managed services. You'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, helping you minimize the operational effort that you invest in managing regular ETL pipelines and ensuring the timely and accurate refreshing of your data warehouse.By the end of the Redshift book, you'll be able to implement a Redshift-based data analytics solution by adopting best-practice approaches for solving commonly faced problems.\*Email sign-up and proof of purchase requiredWhat You Will Learn: Integrate data warehouses with data lakes using AWS features Create end-to-end analytical solutions from sourcing to consumption Utilize Redshift's security for strict business requirements Apply architectural insights with analytical recipes Discover big data best practices for managed solutions Enable data sharing for data mesh and hub-and-spoke architectures Explore Redshift ML and generative AI with Amazon QWho this book is for:This book is for anyone involved in architecting, implementing, and optimizing an Amazon Redshift data warehouse, including data warehouse developers, data analysts, database administrators, data engineers, and data scientists. Basic knowledge of data warehousing, database systems, as well as cloud concepts and familiarity with Redshift is beneficial.Table of Contents Getting Started with Amazon Redshift Data Management Loading and Unloading Data Zero-ETL Ingestions Scalable Data Orchestration for Automation Platform Authorization and Security Data Authorization and Security Performance Optimization Cost Optimization Lakehouse Architecture Data Sharing with Amazon Redshift Generative AI and ML with Amazon Redshift.
