Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
Author:   Gareth Eagar
Publisher:   Packt Publishing Limited
ISBN:  

9781800560413


Pages:   482
Publication Date:   29 December 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS


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Author:   Gareth Eagar
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781800560413


ISBN 10:   1800560419
Pages:   482
Publication Date:   29 December 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Table of Contents An Introduction to Data Engineering Data Management Architectures for Analytics The AWS Data Engineer's Toolkit Data Cataloging, Security and Governance Architecting Data Engineering Pipelines Ingesting Batch and Streaming Data Transforming Data to Optimize for Analytics Identifying and Enabling Data Consumers Loading Data into a Data Mart Orchestrating the Data Pipeline Ad Hoc Queries with Amazon Athena Visualizing Data with Amazon QuickSight Enabling Artificial Intelligence and Machine Learning Wrapping Up the First Part of Your Learning Journey

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Author Information

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.

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