DP-201 Designing an Azure Data Solution

DP-201 Designing an Azure Data Solution

Azure data-alustan suunnittelu haltuun

Tämä kurssi on jatkoa kurssille DP-200T01 Implementing an Azure Data Solution. Tässä kurssissa opit suunnitelemaan Azure Data Platform -alustan palveluita, kuten Data Lake, Databricks, CosmosDB, SQL DB & DW, Stream Analytics ja Data Factory.

Kurssi on suunnattu DP-asiantuntijoille, arkkitehdeille, BI-asiantuntijoille ja kaikille, joiden tulee osata Azure Data Platform -tekniikat.

Kurssi valmentaa yhdessä kurssin DP-200T01 (Implementing an Azure Data Solution) kanssa sertifiointiin: Azure Data Engineer Associate

Tämän Sovelton avoimen kurssin hintaan sisältyy Microsoftin virallinen MeasureUp-harjoitustesti (arvo jopa 110€). Harjoitustesti toimitetaan kurssin toteutuessa osallistujille. Lisätietoa harjoitustesteistä MeasureUp.com

Course Outline

Module 1: Data Platform Architecture
• 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

Module 2: Azure Batch Processing Reference
• 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

Module 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

Module 4: Data Platform Security Design
• Defense in Depth Security Approach
• Network Level Protection
• Identity Protection
• Encryption Usage
• Advanced Threat Protection

Lab : Data Platform Security Design Considerations

Module 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

Module 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