Azure Data Engineer - Part 41 - Use Spark Notebooks in an Azure Synapse Pipeline
Join us in this weekly series and learn how to become an Azure Data Engineer and integrate, transform, and consolidate data from various structured and unstructured data systems into structures suitable for building analytics solutions.
Responsibilities for this role include helping stakeholders understand the data through exploration, building, and maintaining secure and compliant data processing pipelines using different tools and techniques. You will learn how to use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.
An Azure Data Engineer also helps ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints. This professional deals with unanticipated issues swiftly and minimizes data loss. An Azure Data Engineer also designs, implements, monitors, and optimizes data platforms to meet the data pipeline needs.
Each week, we will cover a different module towards the complete learning path, which will prepare you for the Azure Data Engineer Associate certification (https://docs.microsoft.com/en-us/lear...) as well as for the real world.
A candidate for this certification must have a solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns. Specifically, you should have the knowledge equivalent to the Azure Data Fundamentals certification.
All sessions are recorded, and the entire series can be found here: https://bit.ly/Azure-Data-Engineer-ce....
This is part 41: Use Spark Notebooks in an Azure Synapse Pipeline. In this module, we will learn how Apache Spark provides data engineers with a scalable, distributed data processing platform, which can be integrated into an Azure Synapse Analytics pipeline.
In this module, you'll learn how to:
• Describe notebook and pipeline integration.
• Use a Synapse notebook activity in a pipeline.
• Use parameters with a notebook activity.
Link to the relevant module in Microsoft Learn: https://learn.microsoft.com/en-us/tra....