Horizon Information Portal

e-branch

Home

My Account/Renew Loans

Find Magazine Articles & more

Data engineering with AWS : learn how to design and build cloud-based data transformation pipelines using AWS / Gareth Eagar.

by Eagar, Gareth.

View full image

Packt Publishing, c2021.

004.6782 E11d 2021

Amazon Web Services (Firm)

Cloud computing.

9781800560413 (pbk.)

xvi, 461 p. : ill. ; 24 cm.

Includes index.

"Knowing how to architect and implement complex data pipelines is a highly sought-after skill. Data engineers are responsible for building these pipelines that ingest, transform, and join raw datasets - creating new value from the data in the process. Amazon Web Services (AWS) offers a range of tools to simplify a data engineer's job, making it the preferred platform for performing data engineering tasks. This book will take you 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. The book also teaches you 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."--Back cover.

Horizon Information Portal 3.24_8902M

© 2001-2013 SirsiDynix All rights reserved.

Horizon Information Portal