DP-203T00 : Data Engineering on Microsoft Azure
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.
The duration of the program :
Classroom |
Live Online |
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
· MODULE Introduction to data engineering on Azure
· MODULE Introduction to Azure Data Lake Storage Gen2
· MODULE Introduction to Azure Synapse Analytics
· MODULE Use Azure Synapse serverless SQL pool to query files in a data lake
· MODULE Use Azure Synapse serverless SQL pools to transform data in a data lake
· MODULE Create a lake database in Azure Synapse Analytics
· MODULE Analyze data with Apache Spark in Azure Synapse Analytics
· MODULE Transform data with Spark in Azure Synapse Analytics
· MODULE Use Delta Lake in Azure Synapse Analytics
· MODULE Analyze data in a relational data warehouse
· MODULE Load data into a relational data warehouse
· MODULE Build a data pipeline in Azure Synapse Analytics
· MODULE Use Spark Notebooks in an Azure Synapse Pipeline
· MODULE Plan hybrid transactional and analytical processing using Azure Synapse Analytics
· MODULE Implement Azure Synapse Link with Azure Cosmos DB
· MODULE Implement Azure Synapse Link for SQL
· MODULE Get started with Azure Stream Analytics
· MODULE Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
· MODULE Visualize real-time data with Azure Stream Analytics and Power BI
· MODULE Introduction to Microsoft Purview
· MODULE Integrate Microsoft Purview and Azure Synapse Analytics
· MODULE Explore Azure Databricks
· MODULE Use Apache Spark in Azure Databricks
· MODULE Run Azure Databricks Notebooks with Azure Data Factory
Microsoft Certified: Azure Data Engineer Associate
Azure Data Engineers design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs
Required Exam : DP-203
Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:
- AZ-900 – Azure Fundamentals
- DP-900 – Microsoft Azure Data Fundamentals
Location | Date | Time (UTC+2 ) |
Delivery Format | Language |
---|---|---|---|---|
Live Online* | 30-Spt & 2,3,7,9,10-Oct | Mon, Wed, Thu 17:30-22:00 | Instructor Led | Greek |
* Σύγχρονη εξ αποστάσεως εκπαίδευση με εισηγητή – Virtual Class
Last update : 27/12/2023 (DP-203T00-A)