Azure Data Engineer - Part 43: Ingest Streaming Data with Azure Stream Analytics

Join us in this weekly series and learn how to become an Azure Data Engineer, and how to integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are 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, preparing you for the Azure Data Engineer Associate certification (https://docs.microsoft.com/en-us/learn/certifications/azure-data-engineer/) 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-certificate.
This is part 43: Ingest Streaming Data Using Azure Stream Analytics and Azure Synapse Analytics. In this module, we will learn how Azure Stream Analytics provides a real-time data processing engine that you can use to ingest streaming event data into Azure Synapse Analytics for further analysis and reporting.
In this module, you'll learn how to:

• Describe common stream ingestion scenarios for Azure Synapse Analytics.
• Configure inputs and outputs for an Azure Stream Analytics job.
• Define a query to ingest real-time data into Azure Synapse Analytics.
• Run a job to ingest real-time data and consume that data in Azure Synapse Analytics.

Link to the relevant module in Microsoft Learn: https://learn.microsoft.com/en-us/training/modules/ingest-streaming-data-use-azure-stream-analytics-synapse/.
Agenda:

• 20:00-20:15 – Opening, Announcements, and More...
• 20:15-21:15 – Session
• 21:15-21:30 – Q&A and Open Discussion