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- Cloud
- Data
Building Data Pipelines in Microsoft Azure
In a world increasingly dominated by data, it’s more important than ever for data engineers and scientists to build data pipeline solutions that can support both traditional data warehouses and today’s machine learning and AI solutions.
This path covers everything you need to know about building reliable, fast, and cost-effective data pipelines in Microsoft Azure so those consuming data in your organization always have meaningful and actionable information.
Content in this path
Beginner
The course in this section of the path teaches you implement data pipeline solutions using Azure Databricks.
Intermediate
These intermediate courses will take you through some of the more intricate elements within building data pipelines in Microsoft Azure, including performing ETL and ELT batch data processing and using Azure Stream Analytics to process live data. Once you fully comprehend these topics, you’ll be ready to move on to the advanced courses.
Advanced
In the final course in this path, you’ll learn advanced topics such as migrating data from on-premise and AWS to Azure, constructing ETL processes and data integration pipelines with Azure Data Factory, and creating real-time data pipelines.
Try this learning path for free
What You'll Learn
- How to use tools like Azure Databricks and HDInsight Kafka to implement data pipeline solutions
- How to use Azure Stream Analytics to process and visualize live data
- How to implement scalable and accurate batch processing in Microsoft Azure
- How to use Azure Data Factory to construct ETL processes and data integration pipelines
- This path is intended for learners who already already are or who want to skill up to become data scientists and data engineers. Learners should already be familiar with fundamental data concepts and the Azure portal.
- Planning Microsoft Azure Data Solutions
- Monitoring and Managing Microsoft Azure Data Solutions
- Deploying Microsoft Azure Data Solutions
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