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Pipeline Monitoring

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May 13, 2024 2 minute read
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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 two 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.
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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.
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Foundations for Analytics with Python
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Focuses on using Python for data extraction, transformation, and loading (ETL), which key component of data pipelines.
Foundations for Analytics with Python
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Foundations for Analytics with Python
Kindle Edition
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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
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Programming Pig: Dataflow Scripting with Hadoop
Kindle Edition
$$
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Designing Data-Intensive Applications
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Provides a deep dive into the principles and patterns for designing and building scalable and reliable data-intensive applications.
Designing Data-Intensive Applications: The Big...
Paperback
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Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
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Data Science on AWS
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Provides a hands-on guide to using AWS services for building and managing data pipelines.
Data Science on AWS
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Data Science on AWS
Kindle Edition
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MCA Microsoft Certified Associate Azure Data...
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Provides a practical guide to using Microsoft Azure services for building and managing data pipelines.
MCA Microsoft Certified Associate Azure Data...
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MCA Microsoft Certified Associate Azure Data...
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Data Science
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Covers various aspects of big data analytics, including data pipelines, data processing, and machine learning algorithms.
Data Science
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Data Science
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Relevant careers
Data Engineer
DevOps Engineer
Cloud Architect
Data Analyst
Quality Assurance Engineer
Related topics
Workflow Orchestration
DevOps
Cloud Computing
Software Development
Data Engineering
Cloud Architecture
Infrastructure as Code
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