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Teaches crucial knowledge to incorporate CI/CD methodologies into data pipeline creation
Introduces advanced concepts in Azure Data Factory for data engineers
Instructs on setting up appropriate environments for successful data pipeline creation
Provides hands-on training on deploying data pipelines using both visual tools and ARM templates
Exposes learners to the process of automating deployment using Azure DevOps
Guides learners through creating distinct development, staging, and production environments

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Activities

Coming soon We're preparing activities for Deploying Data Pipelines in Microsoft Azure. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Deploying Data Pipelines in Microsoft Azure will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are responsible for developing, deploying, and maintaining data pipelines. They work with data analysts and scientists to understand the data needs of the business and then design and implement the pipelines that will deliver the data to the right people at the right time. This course will teach you the foundational knowledge you need to create robust and well-tested data pipelines in Microsoft Azure.
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and data analysis to extract insights from data. They work with data engineers to develop the pipelines that will deliver the data to them and then use that data to build models that can predict future outcomes or identify trends. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data you need to be successful.
Data Analyst
Data Analysts use their knowledge of data analysis and visualization to transform raw data into meaningful insights. They work with data engineers to develop the pipelines that will deliver the data to them and then use that data to create reports and dashboards that can be used to make informed decisions. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data you need to be successful.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.
Data Integration Architect
Data Integration Architects are responsible for designing and implementing data integration solutions. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.
Big Data Architect
Big Data Architects are responsible for designing and implementing big data solutions. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.
Data Governance Analyst
Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.
Data Quality Analyst
Data Quality Analysts are responsible for ensuring the quality of data. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.
Business Intelligence Analyst
Business Intelligence Analysts use their knowledge of data analysis and visualization to transform raw data into meaningful insights. They work with data engineers to develop the pipelines that will deliver the data to them and then use that data to create reports and dashboards that can be used to make informed decisions. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data you need to be successful.
Data Warehouse Architect
Data Warehouse Architects are responsible for designing and implementing data warehouses. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.
Data Mining Analyst
Data Mining Analysts use their knowledge of data analysis and visualization to transform raw data into meaningful insights. They work with data engineers to develop the pipelines that will deliver the data to them and then use that data to create reports and dashboards that can be used to make informed decisions. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data you need to be successful.
ETL Developer
ETL Developers are responsible for developing and maintaining ETL (Extract, Transform, Load) processes. They work with data engineers to develop the pipelines that will deliver the data to the applications they are building. This course will teach you the skills you need to work with data engineers to create data pipelines that will deliver the data your applications need to be successful.

Reading list

We haven't picked any books for this reading list yet.
Provides a guide to using Azure Data Factory to create and manage data pipelines for Power BI. It valuable resource for anyone looking to use Azure Data Factory to get the most out of Power BI.
Provides a collection of best practices for using Azure Data Factory, covering topics such as data pipeline design, performance optimization, and security. It valuable resource for anyone looking to improve their Azure Data Factory skills.
Teaches you how to use MongoDB, a popular NoSQL database, to build data pipelines. It covers everything from basic concepts to advanced topics like data aggregation and indexing.
Provides an overview of the Azure Data Factory architecture, covering topics such as data flow, data transformation, and data storage. It valuable resource for anyone looking to understand how Azure Data Factory works.
This concise guide to all things data pipelines. Starting with the basics, it covers a wide range of topics, including data connectors, data integration, data quality, orchestration, and monitoring.
Practical guide to building data pipelines with Kafka, a distributed streaming platform. It covers everything from basic concepts to advanced topics like stream processing and data integration.
Teaches you how to use Flink, a popular open-source platform for building data pipelines. It covers everything from basic concepts to advanced topics like streaming and machine learning.
This handbook provides a broader perspective on DevOps, of which CI/CD core component. It covers the principles and practices that enable organizations to achieve high performance in technology delivery. It's highly relevant for understanding the organizational and cultural context in which CI thrives and is considered a must-read for anyone involved in DevOps transformations. The second edition includes updated research and case studies.
Infrastructure as Code (IaC) key enabler of effective CI/CD, allowing for automated provisioning and management of environments. provides a comprehensive guide to IaC principles and practices. Understanding IaC is highly beneficial for building robust and repeatable deployment pipelines.
Provides a practical guide to continuous integration using Jenkins X, a popular CI/CD tool. It covers topics such as setting up a CI/CD pipeline, building and testing code, and deploying applications.
Microservices architecture often goes hand-in-hand with CI/CD. delves into the design and implementation of microservices, covering topics like testing, deployment, and monitoring in a distributed environment. While not solely focused on CI, it provides crucial context for implementing CI/CD pipelines in a microservices setting.
Test-Driven Development (TDD) practice that complements CI by emphasizing automated testing as a fundamental part of the development process. This classic book on TDD helps build a strong foundation in writing effective tests, which are essential for a reliable CI pipeline. While not directly about CI, the principles are highly relevant for improving code quality and enabling continuous integration.
While a more advanced topic, Domain-Driven Design (DDD) can influence how systems are structured, which in turn impacts CI/CD strategies, particularly in microservices architectures. explores how to model complex software systems based on the business domain. It's valuable for those looking to deepen their understanding of how software design choices interact with CI/CD.
This recent book offers a practical and jargon-free guide to understanding and implementing continuous delivery pipelines. It focuses on the design and purpose of CD systems, making it accessible for developers and pipeline designers. It's a good resource for contemporary practices in CI/CD, offering clear examples and a tool-agnostic approach.
Focuses on implementing Continuous Integration specifically within the .NET ecosystem. It provides practical guidance and uses tools relevant to .NET development, such as Visual Studio, MSBuild, and TFS. This book is highly relevant for developers and teams working with .NET technologies who want to adopt CI practices.
Focuses on the cultural and human aspects of DevOps, which are critical for successful CI/CD adoption. It emphasizes collaboration, communication, and building a shared sense of ownership among teams. Understanding these principles is essential for implementing and sustaining CI practices within an organization.
Organizational structure significantly impacts the effectiveness of CI/CD. provides a framework for organizing technology teams to optimize flow and communication, which directly supports faster and more reliable software delivery through CI/CD. It's beneficial for understanding the organizational context of successful DevOps and CI/CD implementations.
Site Reliability Engineering (SRE) shares many principles with DevOps and CI/CD, focusing on the reliability and stability of systems. This workbook offers practical exercises and examples for implementing SRE practices, including aspects related to testing, deployment, and monitoring that are relevant to CI/CD.
While a fictional novel, this book effectively illustrates the principles of DevOps and the challenges faced by IT organizations. It provides a relatable context for understanding the importance of flow, feedback, and culture in improving IT performance, including the adoption of practices like CI. It's an excellent starting point for those new to the concepts and helps provide a high-level understanding of the 'why' behind CI/CD.
As containerization and Kubernetes are prevalent in modern deployments, this book provides valuable insights into building and deploying applications in such environments. It covers how CI/CD fits into a Kubernetes workflow, offering practical guidance for those working with cloud-native applications.

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