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 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.
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 secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
Course DP201T01: 3 Day; Instructor led classes via virtual delivery.
Duration: 3 Day
Price: $1,550.00
Prerequisites
Successful students start this course with knowledge of cloud computing concepts and professional experience with data solutions.
Specifically:
To gain these prerequisite skills, take the following free online training before attending the course:
Course Outline
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.
Lessons
Lab : Case Study
After completing this module, students will be able to:
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. 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 students will also be exposed to an AI architecture and how the data platform can integrate with an AI solution.
Lessons
Lab : Architect an Enterprise-grade Conversational Bot in Azure
After completing this module, students will be able to:
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. They will also explore a data science architecture that 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.
Lessons
Lab : Azure Real-Time Reference Architectures
After completing this module, students will be able to:
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.
Lessons
Lab : Data Platform Security Design Considerations
After completing this module, students will understand the following:
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. 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 the architecture.
Lessons
Lab : Designing for Resiliency and Scale
After completing this module, students will be able to:
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 and they will understand how to design architectures that eliminate waste and gives them full visibility into what is being utilized in the organization’s Azure environment.
Lessons
Lab : Design for Efficiency and Operations
After completing this module, students will be able to:
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The Vancouver Island Works Project acknowledges that our members, live, play and do business on the Traditional Territory of the Lək̓ʷəŋən speaking peoples. It recognizes the First Nations governments across this region — Lək̓ʷəŋən (Songhees) and Xwsepsum (Esquimalt) Nations in the core area, the W̱SÁNEĆ Nations {W̱JOȽEȽP (Tsartlip), BOḰEĆEN (Pauquachin), SȾÁUTW̱,(Tsawout) W̱SIKEM (Tseycum)} out on the Saanich Peninsula and Gulf Islands, to the west Sc’ianew (Beecher Bay), T’Sou-ke, and Pacheedaht, and MÁLEXEȽ (Malahat) and Pune’laxutth’ (Penelekut) Nations.
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