In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.
Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:
Get started with data engineering on Azure
Build data analytics solutions using Azure Synapse serverless SQL pools
Perform data engineering with Azure Synapse Apache Spark Pools
Transfer and transform data with Azure Synapse Analytics pipelines
Implement a Data Analytics Solution with Azure Synapse Analytics
Work with Data Warehouses using Azure Synapse Analytics
Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics
Implement a Data Streaming Solution with Azure Stream Analytics
Implement a data lakehouse analytics solution with Azure Databricks
SCARICA MODULO ISCRIZIONE
