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Data Pipelines with Apache Airflow
Apache Airflow provides a single customizable environment for building and managing data pipelines, reducing the need for a hodgepodge collection of tools and homegrown processes
Data Pipelines with Apache Airflow
artikal br.: 35194370

Data Pipelines with Apache Airflow

artikal br.: 35194370

RSD 6264

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Apache Airflow provides a single customizable environment for building and managing data pipelines, reducing the need for a hodgepodge collection of tools and homegrown processes
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What Stands Out

Automated Workflow
Apache Airflow streamlines data pipeline management by automating workflows, which reduces manual intervention and ensures timely execution of tasks, enhancing overall data processing efficiency for users.
Dynamic Scheduling
With its dynamic scheduling capabilities, Apache Airflow allows users to create complex data workflows that adapt to changing requirements, making it ideal for evolving data pipeline needs and reducing downtime.
Extensible Architecture
Apache Airflow's extensible architecture supports integrations with various data sources and services, providing users with the flexibility to customize their data pipelines, thus enhancing their overall analytics capabilities.

Детаљи о производу

Shop for Data Pipelines with Apache Airflow at Ubuy Serbia. Find the best deals on Apache Airflow for building reliable and efficient data pipelines.
  • Teaches how to build and maintain effective data pipelines using Apache Airflow
  • Covers common usage patterns, including aggregating multiple data sources and cloud deployment
  • Explains directed acyclic graphs (DAGs) in Airflow and customizing them for specific needs
  • Includes topics like automation, data transformation, and historical data analysis
  • Suitable for DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills
  • Provides best practices for operating Airflow in production and securing the platform
Publisher Manning Publications
Publication date April 27, 2021
Language English
Print length 480 pages
ISBN-10 1617296902
ISBN-13 978-1617296901
Item Weight 1.75 pounds (790 grams)
Dimensions 7.38 x 1.2 x 9.25 inches (18.7 x 3 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Engineers

    Ideal for data engineers building and managing data workflows, ensuring automation, and improving data pipeline reliability.

  • Analytics Teams

    Perfect for analytics teams who need to orchestrate complex processes and manage dependencies in their data analysis.

  • Cloud Professionals

    Beneficial for professionals working with cloud services, enabling them to integrate and automate cloud data solutions effectively.

Not Suitable For
  • Beginners

    Not suitable for beginners without prior experience in data engineering or orchestration, as it has a steeper learning curve.

OPIS PROIZVODA

Data Pipelines with Apache Airflow

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  • Pitanje: Како купити Data Pipelines with Apache Airflow на мрежи од Убуи-а?

    Odgovor: Лако је куповати Data Pipelines with Apache Airflow на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију.
  • Pitanje: Да ли је Data Pipelines with Apache Airflow доступан за онлајн куповину у Serbia?

    Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Data Pipelines with Apache Airflow није доступан локално, али можете нам веровати у наше услуге експресне испоруке.
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Cloud Computing Editorial Review

"Data Pipelines with Apache Airflow" is a comprehensive guide to using Apache Airflow for building data pipelines. The book provides best practices for pipeline management, beyond just using Apache Airflow as a tool. The first two chapters are enough for beginners to understand the fundamentals, and the rest of the book builds on that knowledge. The guide covers both basic and advanced topics, such as testing dags and running tasks in containers. The emphasis on counter-intuitive features to save time is appreciated. However, the book has a flaw: security is not addressed until page 322, and it should be one of the critical things covered in data engineering culture.

Customer Reviews & Ratings

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Прос

  • Comprehensive guide to using Apache Airflow for building data pipelines
  • Provides best practices for pipeline management
  • Covers both basic and advanced topics
  • Emphasis on preventing beginners from wasting time on figuring out tweaks themselves

Цонс

  • Security is not covered until page 322

Product Price History

Važna informacija

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  • Nisu svi proizvodi navedeni na Ubuy-u na prodaju, jer je Ubuy globalni pretraživač. Proizvodi podležu izvoznim/trgovačkim propisima.