Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro

Author:   Gareth Eagar
Publisher:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781804614426


Pages:   636
Publication Date:   31 October 2023
Format:   Paperback
Availability:   In stock   Availability explained
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Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro


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Author:   Gareth Eagar
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781804614426


ISBN 10:   1804614424
Pages:   636
Publication Date:   31 October 2023
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents An Introduction to Data Engineering Data Management Architectures for Analytics The AWS Data Engineer’s Toolkit Data Governance, Security, and Cataloging Architecting Data Engineering Pipelines Ingesting Batch and Streaming Data Transforming Data to Optimize for Analytics Identifying and Enabling Data Consumers A Deeper Dive into Data Marts and Amazon Redshift Orchestrating the Data Pipeline Ad Hoc Queries with Amazon Athena Visualizing Data with Amazon QuickSight Enabling Artificial Intelligence and Machine Learning Building Transactional Data Lakes Implementing a Data Mesh Strategy Building a Modern Data Platform on AWS 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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