Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
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Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Nº de artículo: 32821570

Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

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Nº de artículo: 32821570

UYU 2559

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What Stands Out

Data Model Design
Create efficient data models tailored to specific business needs, enhancing data storage and retrieval processes for optimal performance in data-heavy environments.
Pipeline Automation
Automate complex data workflows, reducing manual errors and increasing data processing speed, which allows teams to focus on analysis rather than repetitive tasks.
Comprehensive Learning
Offers in-depth coverage of Python tools and techniques for data engineering, empowering users to build robust data solutions with real-world applications.

Detalles de producto

Shop Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python online at a best price in Uruguay. 183921418X
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?

Suitable For
  • 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.

  • Data Analysts Upgrading Skills

    Perfect for data analysts wanting to deepen their understanding of data modeling and pipeline automation using Python.

Not Suitable For
  • Beginner Programmers

    Not suitable for those with no programming background, as it requires a solid understanding of Python and data concepts.

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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.

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ventajas

  • 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

Contras

  • Some content feels outdated and could be improved

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