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Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
86% of respondents would recommend this to a friend
HKD 450
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產品詳情
| Publisher | Packt Publishing |
| Publication date | October 23, 2020 |
| Language | English |
| Print length | 356 pages |
| ISBN-10 | 183921418X |
| ISBN-13 | 978-1839214189 |
| Item Weight | 1.35 pounds (610 grams) |
| Dimensions | 7.5 x 0.81 x 9.25 inches (19.1 x 2.1 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Engineers
Ideal for individuals looking to build foundational knowledge in data engineering concepts using Python effectively.
-
Developers Transitioning
Great for software developers wanting to transition into data engineering roles by learning specific data management practices.
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Data Analysts Upgrading Skills
Perfect for data analysts wanting to deepen their understanding of data modeling and pipeline automation using Python.
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Beginner Programmers
Not suitable for those with no programming background, as it requires a solid understanding of Python and data concepts.
產品敘述
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
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Data Modeling & Design Editorial Review
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python is a comprehensive guide that provides a solid overview of pipelining and database connections, particularly useful for those working with batch and stream data flows. Readers appreciate the many practical examples featuring tools like Pandas, Kafka, Spark, and NiFi, making it a valuable resource even in a CI/CD environment. However, it's noted that the book could benefit from better explanations about specific tools and the Python versions used. Overall, it's a good addition for anyone looking to bridge the gap into data engineering, despite some outdated content.
Customer Reviews & Ratings
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優點
- Solid explanations of data pipelining concepts
- Includes practical examples of popular tools
- Helpful for beginners learning data engineering
- Illustrative content enhances understanding
- Useful in CI/CD environments with modern tools
缺點
- Some content feels outdated and could be improved
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HKD 450
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