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Item #:
48265124
Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
90% of respondents would recommend this to a friend
Item #:
48265124
MKD 5453
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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
Cloud Expertise
Gain hands-on experience with AWS, a leading cloud platform, enhancing your cloud engineering skills to meet industry demands and advance your career in data engineering.
Pipeline Design
Learn to design efficient data transformation pipelines that streamline data processes, helping organizations to leverage their data effectively for informed decision-making.
Real-World Applications
Hands-on projects simulate real-world scenarios, allowing you to apply theoretical knowledge practically, preparing you for the challenges faced in modern data engineering roles.
Product Details
- 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?
-
Aspiring Data Engineers
Individuals looking to start a career in data engineering can greatly benefit from structured learning on AWS tools.
-
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.
Product Description
Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
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Data Modeling & Design Editorial Review
Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS is an excellent resource for both beginners and intermediate users in the field of data engineering. The book effectively breaks down complex topics related to data ingestion, transformation, and consumption into digestible sections presented in an organized manner. Readers appreciate the clear explanations of key analytics services, making it easier for them to grasp the necessary concepts without feeling overwhelmed. The hands-on examples provided throughout the book enhance the learning experience, allowing readers to apply what they've learned in real-world scenarios. Overall, it is a practical guide for anyone looking to enhance their skills in AWS data engineering, particularly valuable for those new to the field or transitioning into cloud-based data solutions.
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Pros
- Comprehensive coverage of AWS data engineering concepts
- Hands-on examples simplify complex topics
- Well-structured for easy understanding
- Solid introduction to data pipeline architecture
- Useful for both beginners and intermediate learners
Cons
- May not offer enough depth for AWS certification preparation
Product Price History
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MKD 5453
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Features & Benefits
- 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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