65 HOURS
ONLINE
ENGLISH
At the end of this course, learners will be able to design and implement various stages and concepts in the data engineering lifecycle, including storage, processing, and security, in Microsoft Azure. Additionally, they will be capable of creating and performing data service operations, such as monitoring and optimization, in Microsoft Azure.
- Data science
- Azure
- Data Engineer
At the end of this course, learners will be able to design and implement various stages and concepts in the data engineering lifecycle, including storage, processing, and security, in Microsoft Azure. Additionally, they will be capable of creating and performing data service operations, such as monitoring and optimization, in Microsoft Azure.
- Data science
- Azure
- Data Engineer
Course Outline
Module 1: Get Started with Data Engineering on Azure
Module 2: Build data analytics solutions using Azure Synapse serverless SQL pools
Module 3: Perform data engineering with Azure Synapse Apache Spark Pools
Module 4: Work with Data Warehouses using Azure Synapse Analytics
Module 5: Transfer and transform data with Azure Synapse Analytics pipelines
Module 6: Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics
Module 7: Implement a Data Streaming Solution with Azure Stream Analytics
Module 8: Govern data across an enterprise
Module 9: Data engineering with Azure Databricks
Required Resources
Laptop, Intel Core i5 or higher, 16GB, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network)
Pre-Requisites
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 are data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
Assessment
One (1) diagnostic assessment is available, conducted synchronously and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation.
Two (2) formative assessments are offered, one focused on knowledge and the other on performance. Both are available asynchronously, allowing learners to complete them at their own pace, and learners have the option to participate remotely or on-site.
A performance-based summative assessment is to be conducted synchronously, providing learners with the choice of remote or on-site participation.
Credit and Recognition
The learner is eligible to take the Microsoft Certified: Azure Data Engineer Associate.
This course is facilitated by a Microsoft Certified professional. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods.
Learning Pathways
Data Management is your prerequisite for entering the world of Data Engineering, where you’ll learn how to architect and manage data pipelines efficiently. Data Engineering is an essential step toward mastering Machine Learning.
