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Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
88% of respondents would recommend this to a friend
HKD 671
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Data Engineering with AWS is the missing expert-led manual for the AWS ecosystem ― go from foundations to building data engineering pipelines effortlessly
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What Stands Out
產品詳情
- Comprehensive guide for designing and building cloud-based data transformation pipelines with AWS
- Written by a Senior Data Architect with over twenty-five years of experience in the business
- Covers common data architectures, modern approaches to generating value from big data, and AWS tools for ingesting, transforming, and consuming data
- Explains how to architect and implement data lakes and data lakehouses for big data analytics
- Teaches how to use AWS tools for analyzing data and how to draw new insights from data using machine learning and artificial intelligence
- Suitable for data engineers, data analysts, and data architects new to AWS, with or without a basic understanding of big data-related topics and Python coding
| Publisher | Packt Publishing |
| Publication date | December 29, 2021 |
| Language | English |
| Print length | 482 pages |
| ISBN-10 | 1800560419 |
| ISBN-13 | 978-1800560413 |
| Item Weight | 1.81 pounds (820 grams) |
| Dimensions | 7.5 x 1.09 x 9.25 inches (19.1 x 2.8 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Engineers
Individuals looking to start a career in data engineering can greatly benefit from structured learning on AWS tools.
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Cloud Practitioners
Professionals familiar with cloud concepts who want to delve deeper into data engineering practices would find this course essential.
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Technical Managers
Managers overseeing data teams seeking to enhance their team's capabilities in cloud-based data transformation will find this informative.
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Beginner Programmers
Those without foundational programming skills may struggle to grasp the content and practical applications of data engineering.
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HKD 671
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特色和優勢
- Learn about common data architectures and modern approaches to generating value from big data
- Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines
- Architect and implement data lakes and data lakehouses for big data analytics from a data lakes expert
- Understand how the power of machine learning and artificial intelligence can be used to draw new insights from data
- Gain practical experience with common data engineering services on AWS
- Ideal for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud
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