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About this course
In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, No-SQL or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data.
The students will also explore how to design data security including data access, data policies and standards. They will also design Azure data solutions which includes the optimization, availability and disaster recovery of big data, batch processing and streaming data solutions.
The audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
Module 1: Data Platform Architecture Considerations
Lab: Case Study
Module 2: Azure Batch Processing Reference Architectures
Lab: Architect an Enterprise-grade Conversational Bot in Azure
Module 3: Azure Real-Time Reference Architectures
Lab: Azure Real-Time Reference Architectures
Module 4: Data Platform Security Design Considerations
Lab: Data Platform Security Design Considerations
Module 5: Designing for Resiliency and Scale
Lab: Designing for Resiliency and Scale
Module 6: Design for Efficiency and Operations
Lab: Design for Efficiency and Operations