DP-201T01-A: Designing an Azure Data Solution
Online Eğitim
Veri Yönetimi Çözümleri
2 GÜN
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, 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.
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.
EĞİTİM MODÜLLERİ
Modül 1 : Data Platform Architecture Considerations
Modül 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
Designing an Enterprise BI solution in Azure
Automate an Enterprise BI solution in Azure
Automate an Enterprise BI solution in Azure
Core Principles of Creating Architectures
Describe 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
Case study
Modül 3 : Azure Real-Time Reference Architectures
Lambda architectures for a Real-Time Perspective
Architect a stream processing pipeline with Azure Stream Analytics
Design a stream processing pipeline with Azure Databricks
Create an Azure IoT reference architecture
Architect a stream processing pipeline with Azure Stream Analytics
Design a stream processing pipeline with Azure Databricks
Create an Azure IoT reference architecture
Lambda architectures for a Real-Time Mode Perspective
Architect a stream processing pipeline with Azure Stream Analytics
Design a stream processing pipeline with Azure Databricks
Create an Azure IoT reference architecture
Modül 4 : Data Platform Security Design Considerations
Modül 5 : Designing for Resiliency and Scale
Adjust Workload Capacity by Scaling
Optimize Network Performance
Design for Optimized Storage and Database Performance
Identifying Performance Bottlenecks
Design a Highly Available Solution
Incorporate Disaster Recovery into Architectures
Design Backup and Restore strategies
Adjust Workload Capacity by Scaling
Design for Optimized Storage and Database Performance
Design a Highly Available Solution
Incorporate Disaster Recovery into Architectures
Adjust Workload Capacity by Scaling
Optimize Network Performance
Design for Optimized Storage and Database Performance
Identifying Performance Bottlenecks
Design a Highly Available Solution
Incorporate Disaster Recovery into Architectures
Design Backup and Restore strategies
Modül 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
Maximize the Efficiency of your Cloud Environment
Use Monitoring and Analytics to Gain Operational Insights
Use Automation to Reduce Effort and Error
Maximize the Efficiency of your Cloud Environment
Use Monitoring and Analytics to Gain Operational Insights
Use Automation to Reduce Effort and Error
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UZMANLIK HEDEFLERİ
Beyaz Yaka Profesyonel Çalışan
Veri Bilim Uzmanı/Yönetici
Veri Yöneticisi
Veritabanı Geliştiricisi
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TEKNOLOJİ ÜRETİCİSİ
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