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Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition Gareth Eagar

(ebook) (audiobook) (audiobook) Książka w języku 1
Data Engineering with AWS.  Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition Gareth Eagar - okladka książki

Data Engineering with AWS.  Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition Gareth Eagar - okladka książki

Data Engineering with AWS.  Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition Gareth Eagar - audiobook MP3

Data Engineering with AWS.  Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition Gareth Eagar - audiobook CD

Autor:
Gareth Eagar
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
636
Dostępne formaty:
     PDF
     ePub
This book, authored by a seasoned Senior Data Architect with 25 years of experience, aims to help you achieve proficiency in using the AWS ecosystem for data engineering. This revised edition provides updates in every chapter to cover the latest AWS services and features, takes a refreshed look at data governance, and includes a brand-new section on building modern data platforms which covers; implementing a data mesh approach, open-table formats (such as Apache Iceberg), and using DataOps for automation and observability.

You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and getting acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how that transformed data is used by various data consumers. You’ll learn how to ensure strong data governance, and about populating data marts and data warehouses along with how a data lakehouse fits into the picture. After that, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. Then, you'll explore how the power of machine learning and artificial intelligence can be used to draw new insights from data. In the final chapters, you'll discover transactional data lakes, data meshes, and how to build a cutting-edge data platform on AWS.

By the end of this AWS book, you'll be able to execute data engineering tasks and implement a data pipeline on AWS like a pro!

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O autorze książki

Gareth Eagar has worked in the IT industry for over 25 years, starting in South Africa, then working in the United Kingdom, and now based in the United States. In 2017, he started working at Amazon Web Services (AWS) as a solution architect, working with enterprise customers in the NYC metro area. Gareth has become a recognized subject matter expert for building data lakes on AWS, and in 2019 he launched the Data Lake Day educational event at the AWS Lofts in NYC and San Francisco. He has also delivered a number of public talks and webinars on topics relating to big data, and in 2020 Gareth transitioned to the AWS Professional Services organization as a senior data architect, helping customers architect and build complex data pipelines.

Packt Publishing - inne książki

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