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Pipeline Monitoring

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May 13, 2024 2 minute read

Pipeline Monitoring is a crucial aspect of data engineering, enabling the management and supervision of data pipelines to ensure their reliability and efficiency. It involves monitoring various aspects of pipelines, such as performance, data quality, and resource usage, to identify and resolve issues promptly.

Why Learn Pipeline Monitoring?

There are several compelling reasons to learn Pipeline Monitoring:

Path to Pipeline Monitoring

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We've curated one courses to help you on your path to Pipeline Monitoring. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

DevOps: CI/CD using AWS CodePipeline & Elastic Beanstalk

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Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Pipeline Monitoring.

Programming Pig

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Focuses on using Apache Beam, a unified programming model for building scalable and reliable data pipelines.

Programming Pig: Dataflow Scripting with Hadoop

Paperback

Programming Pig: Dataflow Scripting with Hadoop

Kindle Edition

Designing Data-Intensive Applications

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Provides a deep dive into the principles and patterns for designing and building scalable and reliable data-intensive applications.

Designing Data-Intensive Applications: The Big...

Paperback

Designing Data-Intensive Applications: The Big...

Kindle Edition

Relevant careers

Data Engineer

DevOps Engineer

Cloud Architect

Data Analyst

Quality Assurance Engineer

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