Corso attualmente non disponibile
DP-201T01 - Designing an Azure Data Solution
Corso
Online
Descrizione
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Tipologia
Corso
-
Metodologia
Online
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Durata
2 Giorni
Il centro PCSnet presenta sul portale Emagister.it il corso in DESIGNING AN AZURE DATA SOLUTION.
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.
Profilo del corso
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.
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: Azure Fundamentals, DP-200: Implementing an Azure Data Solution.
Opinioni
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6 anni del centro in Emagister.
Materie
- Informatica
- Computer
- Cloud
- Microsoft
- Microsoft Azure
- Azure
- Cloud technologies
- Azure data solution
- Data science
- Machine Learning
- Big Data
- Artificial intelligence
- Intelligenza artificiale
- Data Architect
- Data Analytics
Professori
Microsoft Certified Trainer
Microsoft Certified Trainer
Programma
Module 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
- Core principles for creating architectures
- Design with security in mind
- Consider performance and scalability
- Design for availability and recoverability
- Design for efficiency and operations
Module 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
- Lambda architectures from a Batch Mode Perspective
- Designing an Enterprise BI solution in Azure
- Automate an Enterprise BI solution in Azure
- Automate an Enterprise BI solution 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
- Describe 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
Module 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
- Defense in Depth Security Approach
- Network Level Protection
- Identity Protection
- Encryption Usage
- Advanced Threat Protection
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
- Adjust Workload Capacity by Scaling
- Optimize Network Performance
- Design for Optimized Storage and Database Performance
- Design a Highly Available Solution
- Incorporate Disaster Recovery into Architectures
- Design Backup and Restore strategies
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
- Maximize the Efficiency of your Cloud Environment
- Use Monitoring and Analytics to Gain Operational Insights
- Use Automation to Reduce Effort and Error
Ulteriori informazioni
Esame: DP-201 - Designing an Azure Data Solution
Manuale: Il Materiale Didattico Ufficiale per tutti i corsi Microsoft MOC può essere richiesto, se disponibile, in forma elettronica (DMOC) invece che cartacea e lo studente iscritto potrà scaricarlo dal sito Microsoft. Chi acquista un DMOC ha diritto a consultare tutte le versioni del manuale, sia quelle precedenti a quella che acquista sia quelle che usciranno successivamente, dove troverà corretti eventuali errori e/o le novità del prodotto.
Prezzo manuale: 130 € incluso nel prezzo del corso
Natura del corso: Operativo (previsti lab su PC)
DP-201T01 - Designing an Azure Data Solution