In this DP-201T01 2 day class, 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, No-SQL or Data Warehouse data. Students will also learn how to design process architectures using a range of technologies for both streaming and batch data.
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.
TARGET AUDIENCE
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.
OTHER PREREQUISITES
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
Azure Fundamentals
COURSE OUTLINE
1 – DATA PLATFORM ARCHITECTURE CONSIDERATIONS
· Core Principles of Creating Architectures
· Design with Security in Mind
· Performance and Scalability
· Design for availability and recoverability
· Design for efficiency and operations
· Case Study
· Lab : Case Study
2 – AZURE BATCH PROCESSING REFERENCE ARCHITECTURES
· Lambda architectures from a Batch Mode Perspective
· Design an Enterprise BI solution in Azure
· Automate enterprise BI solutions in Azure
· Architect an Enterprise-grade Conversational Bot in Azure
· Lab : Architect an Enterprise-grade Conversational Bot in Azure
3 – AZURE REAL-TIME REFERENCE ARCHITECTURES
· Lambda architectures for a Real-Time Perspective
· Lambda architectures for a Real-Time Perspective
· Design a stream processing pipeline with Azure Databricks
· Create an Azure IoT reference architecture
· Lab : Azure Real-Time Reference Architectures
4 – DATA PLATFORM SECURITY DESIGN CONSIDERATIONS
· Defense in Depth Security Approach
· Network Level Protection
· Identity Protection
· Encryption Usage
· Advanced Threat Protection
· Lab : Data Platform Security Design Considerations
5 – DESIGNING FOR RESILIENCY AND SCALE
· Design Backup and Restore strategies
· Optimize Network Performance
· Design for Optimized Storage and Database Performance
· Design for Optimized Storage and Database Performance
· Incorporate Disaster Recovery into Architectures
· Design Backup and Restore strategies
· Lab : Designing for Resiliency and Scale
6 – DESIGN FOR EFFICIENCY AND OPERATIONS
· Maximizing the Efficiency of your Cloud Environment
· Use Monitoring and Analytics to Gain Operational Insights
· Use Automation to Reduce Effort and Error
· Lab : Design for Efficiency and Operations
To Hire a Proven AMS Course Author and or Subject Matter Expert who teaches this class, Call 800-798-3901 Today!