We may earn an affiliate commission when you visit our partners.
John Savill

Data pipelines and processes transform raw data into meaningful insights for organizations that can drive future business direction. This course explores how to monitor the pipelines and the processes within to ensure accurate and timely insights.

Read more

Data pipelines and processes transform raw data into meaningful insights for organizations that can drive future business direction. This course explores how to monitor the pipelines and the processes within to ensure accurate and timely insights.

Organizations need to get business insights from multiple, disparate sources and it is important that the pipelines and processes that enable this insight are healthy. In this course, Monitoring Microsoft Azure Data Pipelines and Processing, you will learn foundational knowledge of the core structure of data pipeline services and how to monitor them. First, you will examine the foundation of data pipelines and processes. Next, you will discover how to monitor Azure Data Factory as a control flow solution. Finally, you will explore how to monitor the HDInsight and Databricks data flow solution. When you’re finished with this course, you will have the skills and knowledge of monitoring data pipelines and processes needed to ensure the health and accuracy of generated business insights.

Enroll now

Here's a deal for you

We found an offer that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Course Overview
Data Pipeline Exploration
Implementing Monitoring for Data Factory
Implementing HDInsight Monitoring
Read more

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores data pipelines and processing, which are core concepts in data science and analytics
Covers monitoring Microsoft Azure Data Pipelines and Processing, which is a specific and in-demand area in cloud computing
Provides foundational knowledge of the core structure of data pipeline services, which is essential for effective monitoring
Utilizes hands-on labs and interactive materials, which enhance the learning experience and promote practical skills development
Taught by John Savill, who is recognized for their expertise in data pipeline monitoring

Save this course

Save Monitoring Microsoft Azure Data Pipelines and Processing to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Monitoring Microsoft Azure Data Pipelines and Processing with these activities:
Refresh your coding skills in Python
This activity will help you ensure that your coding skills are up to date, which is essential for working with data pipelines.
Browse courses on Python
Show steps
  • Review Python basics and syntax
  • Practice writing Python code for data manipulation tasks
  • Complete coding challenges or exercises to test your skills
Follow a guided tutorial on Azure Data Factory
This activity will provide you with hands-on experience in using Azure Data Factory, which is a key tool for data pipeline management.
Browse courses on Azure Data Factory
Show steps
  • Find a well-regarded online tutorial on Azure Data Factory
  • Follow the tutorial steps to create a data pipeline
  • Experiment with different configurations and settings
  • Troubleshoot any issues you encounter
Practice troubleshooting common data pipeline issues
This activity will help you develop your problem-solving skills by practicing how to identify and resolve common issues that arise in data pipelines.
Browse courses on Error Handling
Show steps
  • Identify common data pipeline issues and their symptoms
  • Practice troubleshooting these issues using real-world examples
  • Document the solutions to these issues for future reference
Three other activities
Expand to see all activities and additional details
Show all six activities
Mentor or tutor other students on data pipeline concepts
This activity will help you reinforce your understanding of data pipeline concepts by explaining them to others and answering their questions.
Browse courses on Mentoring
Show steps
  • Identify opportunities to mentor or tutor other students
  • Prepare materials to support your teaching
  • Engage with students, answer their questions, and provide guidance
Create a data pipeline monitoring dashboard
This activity will allow you to apply your knowledge of data pipeline monitoring by creating a custom dashboard for visualizing key metrics.
Browse courses on Data Visualization
Show steps
  • Identify the key metrics you want to monitor
  • Choose a data visualization tool or platform
  • Configure the dashboard to display the metrics in a clear and concise way
  • Share the dashboard with your team or stakeholders
Develop a data pipeline for a specific business scenario
This project-based activity will provide you with a comprehensive understanding of the data pipeline development process, from requirements gathering to deployment.
Show steps
  • Define the business scenario and requirements
  • Design and implement the data pipeline using Azure Data Factory or other tools
  • Monitor and maintain the pipeline to ensure its performance and reliability
  • Evaluate the results and identify areas for improvement

Career center

Learners who complete Monitoring Microsoft Azure Data Pipelines and Processing will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are responsible for designing, building, and maintaining the infrastructure and processes that transform raw data into meaningful insights. This course on Monitoring Microsoft Azure Data Pipelines and Processing can help build a foundation for a career as a Data Engineer by providing knowledge of the core structure of data pipeline services and how to monitor them. This knowledge is essential for ensuring the accuracy and timeliness of the insights generated by data pipelines and processes.
Business Analyst
Business Analysts work with businesses to identify and solve problems. They use data to understand the business and to make recommendations for improvements. This course on Monitoring Microsoft Azure Data Pipelines and Processing may be useful for Business Analysts who want to gain a better understanding of how data pipelines and processes work. This knowledge can help them to better understand the data they are working with and to make more accurate and informed recommendations.
Data Scientist
Data Scientists use data to build models and algorithms that can solve business problems. They work with data engineers and data analysts to gather, clean, and analyze data. This course on Monitoring Microsoft Azure Data Pipelines and Processing may be useful for Data Scientists who want to gain a better understanding of how data pipelines and processes work. This knowledge can help them to better understand the data they are working with and to build more accurate and effective models.
Data Analyst
Data Analysts use data to solve business problems and make informed decisions. They gather, clean, and analyze data to identify trends and patterns. This course on Monitoring Microsoft Azure Data Pipelines and Processing may be useful for Data Analysts who want to gain a better understanding of how data pipelines and processes work. This knowledge can help them to better understand the data they are working with and to make more accurate and informed decisions.
Cloud Architect
Cloud Architects design and manage cloud computing systems. They work with data engineers and data scientists to build and maintain the infrastructure and processes that transform raw data into meaningful insights. This course on Monitoring Microsoft Azure Data Pipelines and Processing may be useful for Cloud Architects who want to gain a better understanding of how data pipelines and processes work. This knowledge can help them to design and manage more efficient and effective cloud computing systems.
Data Governance Manager
Data Governance Managers oversee the governance of an organization's data. They are responsible for developing and implementing policies and procedures to ensure that the data is accurate, accessible, and secure. This course on Monitoring Microsoft Azure Data Pipelines and Processing may be useful for Data Governance Managers who want to gain a better understanding of how data pipelines and processes work. This knowledge can help them to better develop and implement policies and procedures to ensure the governance of the organization's data.
IT Manager
IT Managers oversee the IT department of an organization. They are responsible for planning, implementing, and managing the organization's IT systems. This course on Monitoring Microsoft Azure Data Pipelines and Processing may be useful for IT Managers who want to gain a better understanding of how data pipelines and processes work. This knowledge can help them to better manage and implement the organization's IT systems.
Database Administrator
Database Administrators manage and maintain databases. They work with data engineers and data scientists to ensure that the data is accurate and accessible. This course on Monitoring Microsoft Azure Data Pipelines and Processing may be useful for Database Administrators who want to gain a better understanding of how data pipelines and processes work. This knowledge can help them to better manage and maintain databases.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with data engineers and data scientists to build and maintain the infrastructure and processes that transform raw data into meaningful insights. This course on Monitoring Microsoft Azure Data Pipelines and Processing may be useful for Software Engineers who want to gain a better understanding of how data pipelines and processes work. This knowledge can help them to build more efficient and effective software applications.
Statistician
Statisticians collect, analyze, and interpret data. They work with data engineers and data scientists to develop and implement strategies to ensure that the organization's data is used effectively.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. They work with data engineers and data scientists to develop and implement strategies to ensure that the organization's data is used effectively.
Data Architect
Data Architects design and build the architecture of an organization's data systems. They work with data engineers and data scientists to develop and implement strategies to ensure that the organization's data is used effectively.
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. They work with data engineers and data scientists to develop and implement strategies to ensure that the organization's data is used effectively.
Epidemiologist
Epidemiologists investigate the causes and spread of disease. They work with data engineers and data scientists to develop and implement strategies to ensure that the organization's data is used effectively.
Chief Data Officer
Chief Data Officers are responsible for overseeing the organization's data strategy. They work with data engineers, data scientists, and other stakeholders to develop and implement strategies to ensure that the organization's data is used effectively.

Reading list

We've selected seven 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 Monitoring Microsoft Azure Data Pipelines and Processing.
This classic work provides a comprehensive foundation in data-intensive application design. Although not specifically about data pipelines, it offers valuable insights into the broader context.
This concise guide provides a quick reference to essential concepts and commands for data pipelines. Ideal for quick reference or as a refresher.
Provides a comprehensive overview of using C# for data pipeline development. It covers a wide range of topics, from basic concepts to advanced techniques.
Provides a comprehensive overview of using Kotlin for data pipeline development. It covers a wide range of topics, from basic concepts to advanced techniques.
Provides a comprehensive overview of using Java for data pipeline development. It covers a wide range of topics, from basic concepts to advanced techniques.
Provides a comprehensive overview of using R for data pipeline development. It covers a wide range of topics, from basic concepts to advanced techniques.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Monitoring Microsoft Azure Data Pipelines and Processing.
Implement LangChain Solutions in Your Data Workflow
Most relevant
Create and Monitor Data Pipelines for a Batch Processing...
Most relevant
Design a Monitoring Strategy for Infrastructure in...
Building, Deploying, and Monitoring Your First Apache...
Prep for Microsoft Azure Data Engineer Associate Cert DP...
Microsoft Azure Developer: Monitoring Performance
Securing Data Analytics Pipelines on AWS
Salesforce Flow – Beginner to Advanced
ETL and Data Pipelines with Shell, Airflow and Kafka
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser