In this workshop, you will learn to design a data pipeline solution that leverages Cosmos DB for both the scalable ingest of streaming data, and the globally distributed serving of both pre-scored data and machine learning models. The solution leverages the Cosmos DB change data feed in concert with the Azure Databricks Delta to enable a modern data warehouse solution that can be used to create risk reduction solutions for scoring transactions for fraud in an offline, batch approach and in a near real-time, request/response approach.
Prerequisites
There are no prequisitesĀ for this course.
Intended Audience
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the āAbout this Courseā and āAt Course Completionā areas.Ā Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
Why The DataTech Labs ?
Self-Paced Online Video
A 360-degree learning approach that you can adapt to your learning style
A 360-degree learning
Engage and learn more with these live and highly-interactive classes alongside your peers
24/7 Teaching Assistance
24/7 Teaching Assistance
Keep engaged with integrated teaching
Online Practice Labs
Projects provide you with sample work to show prospective employers.
Applied Projects
Real-world projects relevant to what youāre learning throughout the program
Learner Social Forums
A support team focused on helping you succeed alongside a peer community
Skill Covered
After completing this module, students will be able to:
Ā Implement solutions that leverage the strengths of Cosmos DB in support ofĀ Ā Ā Ā Ā advanced analytics solutions that require high throughput ingest, low latencyĀ Ā Ā Ā Ā Ā serving and global scale in combination with scalable machine learning, big dataĀ Ā Ā Ā and real-time processing capabilities.