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Mastering Hadoop 3

You're reading from   Mastering Hadoop 3 Big data processing at scale to unlock unique business insights

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Length 544 pages
Edition 1st Edition
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Authors (3):
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Timothy Wong Timothy Wong
Author Profile Icon Timothy Wong
Timothy Wong
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
Chanchal Singh Chanchal Singh
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Chanchal Singh
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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: Introduction to Hadoop 3 FREE CHAPTER
2. Journey to Hadoop 3 3. Deep Dive into the Hadoop Distributed File System 4. YARN Resource Management in Hadoop 5. Internals of MapReduce 6. Section 2: Hadoop Ecosystem
7. SQL on Hadoop 8. Real-Time Processing Engines 9. Widely Used Hadoop Ecosystem Components 10. Section 3: Hadoop in the Real World
11. Designing Applications in Hadoop 12. Real-Time Stream Processing in Hadoop 13. Machine Learning in Hadoop 14. Hadoop in the Cloud 15. Hadoop Cluster Profiling 16. Section 4: Securing Hadoop
17. Who Can Do What in Hadoop 18. Network and Data Security 19. Monitoring Hadoop 20. Other Books You May Enjoy

Airflow for orchestration

Orchestration is the process of automating the workflow/pipeline that is to manage the task of scheduling the tasks, making coordination between tasks, and managing the created workflow. There are multiple tools available for automating the workflow such as Oozie, Azkaban, Jenkins, and so on. 

We have observed that people don't spend much time on workflow orchestration and the impact of scheduling failure or rerun. This causes big problems in later stages and then it will be difficult to manage the kind of problem it creates. In this section, we will learn about Airflow, which is the new generation orchestration tool for Hadoop applications. 

The user interface of Airflow is simple and easy to manage, and gives user's the flexibility to use and manage the workflows. The pipelines in Airflow are represented by DAG (Direct Acyclic Graph...

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