English | 2021 | ISBN: 1800560419 | 482 pages | True PDF EPUB | 37.16 MB

Start your AWS data eeering journey with this easy-to-follow, hands-on guide and get to grips with foundational concepts through to building data eeering pipelines using AWS
Key Features
Learn about common data architectures and modern approaches to generating value from big data
Explore AWS tools for ingesting, transfog, and consuming data, and for orchestrating pipelines
Learn how to architect and implement data lakes and data lakehouses for big data analytics
Book Description
Knowing how to architect and implement complex data pipelines is a highly sought-after skill.

Data eeers are responsible for building these pipelines that ingest, transform, and join raw datasets - creating new value from the data in the process.
Web Services (AWS) offers a range of tools to simplify a data eeer's job, making it the preferred platform for perfog data eeering tasks.
This book will take you through the services and the skills you need to architect and implement data pipelines on AWS. You'll b by reviewing important data eeering concepts and some of the core AWS services that form a part of the data eeer'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 eeering tasks and implement a data pipeline on AWS independently.



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