The exam associated with this course will retire on 31st January 2021. However, the course is still valid as training material for learning purposes.
This azure training course is designed to be taught by the instructor in three days, and can be undertaken by database professionals thinking of deploying Cosmos DB solutions.
Once the course is complete, students will gain the capabilities to:
Explain the objective and structure of Microsoft Azure Cosmos DB.
Explain the process of designing documents and collections in order to meet business objectives along with the process of using SQL API for building applications that make use of these documents.
Explain the process of developing stored procedures, user-defined functions, and triggers.
Explain the process of tuning a database, along with the proper method of monitoring performance.
Explain the process of developing efficient Graph database models via Cosmos DB.
Explain the process of using HDInsight, Azure Databricks, Microsoft Azure Search, and Power BI with Cosmos DB to analyze and query big data.
Explain the process of utilizing Cosmos DB as a sink and source for streaming data.
This azure course is intended to be undertaken by database developers and architects, such as developers, information workers, and IT professionals planning to deploy the solutions for big data on Microsoft Azure via Cosmos DB.
|Learning Style||Virtual Classroom|
|Course Duration||3 Days|
Paul has over 2 decades of of technical experience as a senior engineer, operations manager & project lead.
He has had hands-on impact within internal IT infrastructure, as well as in hundreds of unique customer environments that resulted in an in-depth knowledge of a wide range of security, identity, cloud, and infrastructure products & features; and a breadth of knowledge in associated network devices and applications.
His specialties include:
Identity, AD, Azure AD, Azure AD Connect, Azure MFA, ADFS, WAP, e-Gap, IAG, UAG, Firewalls, DirectAccess, Load balancers, PKI, Troubleshooting application and network issues, quickly learning new applications/technologies, building and leading tech teams, project management, creating scalable processes.