DP200 – Implementing an Azure Data Solution
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.
This course is run in a workshop format. In this format, each module will be taught in approximately 20 – 30 minutes. This is then followed by a lab that is a group activity of approximately 50 – 60 mins. The module then finishes with a 20 – 30 min class review of the group solutions presented with the class discussing the relative merits of the solutions or architectures presented by each group.
The Primary audience for this course are 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 are individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
- Azure for the Data Engineer
- Work with Data Storage
- Enabling Team based Data Science with Azure Databricks
- Building Globally Distributed Database with Cosmos DB
- Working with Relational Data Stores in the Cloud
- Performing Real-Time Analytics with Stream Analytics
- Orchestrating Data Movement with Azure Data Factory
- Securing Azure Data Platforms
- Monitoring and Troubleshooting Data Storage and Processing
This course can be delivered, privately, on your premises to your staff or we can arrange an off-site event, including catering.