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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-premise, 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.
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*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.
Sep 28 - 29
9:00 AM - 4:30 PM EDT
Online (AnyWare)
Dec 14 - 15
9:00 AM - 4:30 PM PST
Online (AnyWare)
Jan 11 - 12
9:00 AM - 4:30 PM EST
Herndon, VA / Online (AnyWare)
Feb 22 - 23
9:00 AM - 4:30 PM PST
San Francisco / Online (AnyWare)
Mar 8 - 9
9:00 AM - 4:30 PM EST
New York / Online (AnyWare)
Jun 14 - 15
9:00 AM - 4:30 PM PDT
Seattle / Online (AnyWare)
Jul 12 - 13
9:00 AM - 4:30 PM EDT
Herndon, VA / Online (AnyWare)
Aug 30 - 31
9:00 AM - 4:30 PM EDT
New York / Online (AnyWare)
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.Partial Day Event
Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
This course can help you prepare for the following Microsoft role-based certification exam — DP-201: Designing an Azure Data Solution
In this module, the students will learn how to design and build secure, scalable and performant solutions in Azure by examining the core principles found in every good architecture. They will learn how using key principles throughout your architecture regardless of technology choice, can help you design, build, and continuously improve your architecture for an organizations benefit.
LessonsIn this module, the student will learn the reference design and architecture patterns for dealing with the batch processing of data. The student will be exposed to dealing with the movement of data from on-premises systems into a cloud data warehouse and how it can be automated. The student will also be exposed to an AI architecture and how the data platform can integrate with an AI solution.
LessonsIn this module, the student will learn the reference design and architecture patterns for dealing with streaming data. They will learn how streaming data can be ingested by Event Hubs and Stream Analytics to deliver real-time analysis of data. They will also explore a data science architecture the streams data into Azure Databricks to perform trend analysis. They will finally learn how an Internet of Things (IoT) architecture will require data platform technologies to store data.
LessonsIn this module, the student will learn how to incorporate security into your architecture design and discover the tools that Azure provides to help you create a secure environment through all the layers of your architecture.
LessonsIn this module, student will learn scaling services to handle load. They will learn how identifying network bottlenecks and optimizing your storage performance are important to ensure your users have the best experience. They will also learn how to handle infrastructure and service failure, recover from the loss of data, and recover from a disaster by designing availability and recoverability into your architecture.
LessonsIn this module, students will learn how to design an Azure architecture that is operationally-efficient and minimizes costs by reducing spend, they will understand how to design architectures that eliminates waste and gives them full visibility into what is being utilized in your organizations Azure environment.
Lessons