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Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS Gareth Eagar

(ebook) (audiobook) (audiobook) Książka w języku 1
Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS Gareth Eagar - okladka książki

Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS Gareth Eagar - okladka książki

Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS Gareth Eagar - audiobook MP3

Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS Gareth Eagar - audiobook CD

Autor:
Gareth Eagar
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
482
Dostępne formaty:
     PDF
     ePub
Written by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS.
As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data.
By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.

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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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