Coursedot’s portfolio of the full Microsoft Azure courses features the DP-201: Designing an Azure Data Solution. We can also offer you over 25 certified instructors globally to deliver the training needed for gaining this certification.
Available in: Portugal, United Kingdom, Netherlands, Spain, Czech Republic, rest of EU, USA, Brazil, Costa Rica, India, Canada, Russia (+many more on request).
Available languages: English, German, Italian, Portuguese, Czech, Spanish, Hindi, Russian (+many more on request).
Available trainers, certified to deliver the course: 19 in Europe, 4 in Asia, 6 in North America, 1 in South America . Total: 30+ globally
Delivery methods: Online or instructor-led (virtual and in-class)
Official course: Yes
Certification exam: Offered separately.
Coursedot can help organize and deliver this course along with a suitable, certified IT instructor. Get in touch with us via email@example.com or write to us via the form for more details and an offer.
More information about the 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, NoSQL, 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 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 course features six main modules. Here they are:
Module 1: Data Platform Architecture Considerations
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 architecture, regardless of technology choice, can help you design, build, and continuously improve the architecture for an organization’s benefit.
Module 2: Azure Batch Processing Reference Architectures
In this module, students will learn the reference design and architecture patterns for dealing with the batch processing of data.
Module 3: Azure Real-Time Reference Architectures
In this module, the students 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.
Module 4: Data Platform Security Design Considerations
In this module, the students will learn how to incorporate security into an architecture design and learn the key decision points in Azure provided to help create a secure environment through all the layers of architecture.
Module 5: Designing for Resiliency and Scale
In this module, students will learn scaling services to handle load. They will learn how identifying network bottlenecks and optimizing storage performance are important to ensure users have the best experience.
Module 6: Design for Efficiency and Operations
In this module, students will learn how to design an Azure architecture that is operationally-efficient and minimizes costs by reducing spend.
About the exam
Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to design data solutions that use Azure data services.
Azure data engineers are responsible for data-related design tasks that include designing Azure data storage solutions that use relational and non-relational data stores, batch and real-time data processing solutions, and data security and compliance solutions.
Coursedot can help enterprise clients organize and deliver this course along with a suitable, certified IT instructor. Get in touch with us via firstname.lastname@example.org or write to us via the form for more details and an offer.
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