Top Azure Data Engineering Certification Course

1
What is Azure Data Engineering?

• Advantages and Disadvantages

2
What is Azure Data Engineering?

• Azure Data Engineering focuses on designing and
  managing scalable data systems on Microsoft
  Azure.
• Key features
• Data ingestion, storage, processing, and
  visualization.
• Services like Azure Data Factory, Azure Data
  bricks, Azure Synapse Analytics, and Azure
  Storage.
• Purpose Enabling businesses to derive insights
  and make data-driven decisions.

3
Core Components of Azure Data Engineering

• Data Integration Azure Data Factory for ETL/ELT
  workflows.
• Data Storage Azure Data Lake, Azure Blob
  Storage, SQL Database.
• Data Processing Azure Data bricks, Azure Synapse
  Analytics.
• Data Visualization Power BI integration for
  insights.

4
Advantages of Azure Data Engineering (Part 1)

• Scalability
• Easily scale resources to handle big data
  workloads.
• Integration
• Seamless integration with other Microsoft and
  third-party tools.
• Performance
• High performance with distributed processing in
  Azure Data bricks and Synapse Analytics.

5
Advantages of Azure Data Engineering (Part 2)

• Cost-Effectiveness
• Pay-as-you-go pricing reduces infrastructure
  costs.

• Cost-Effectiveness
• Pay-as-you-go pricing reduces infrastructure
  costs.

• Cost-Effectiveness
• Pay-as-you-go pricing reduces infrastructure
  costs.

• Automation
• Automate workflows with Azure Data Factory.
• Security and Compliance
• Built-in data encryption, access controls, and
  compliance with standards like GDPR.
• Cost-Effectiveness
• Pay-as-you-go pricing reduces infrastructure
  costs.

6
Disadvantages of Azure Data Engineering (Part 1)

• Learning Curve
• Requires expertise in Azure services and tools
  like Data bricks and Synapse.
• Complexity
• Managing distributed systems can be challenging.
• Dependency on Internet
• Continuous internet connectivity is required for
  cloud-based operations.

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Disadvantages of Azure Data Engineering (Part 2)

• Cost Management
• Improper monitoring can lead to unexpected costs.
• Limited Offline Access
• Not ideal for environments with minimal internet
  access.
• Vendor Lock-In
• Migrating data and systems to another provider
  may be challenging.

8
Real-World Use Cases

• Retail Customer behaviour analysis using Azure
  Data bricks.
• Healthcare Real-time patient monitoring with
  Azure Synapse.
• Finance Fraud detection through machine learning
  models in Azure AI.
• Entertainment Content recommendation systems
  powered by Azure Data Factory.

9
Conclusion

• Summary
• Azure Data Engineering enables scalable, secure,
  and integrated data solutions.
• Offers significant advantages but requires
  skilful management to avoid pitfalls.
• Call to Action
• Explore Azure certifications for Data Engineering
  to enhance your skills.

10
CONTACT

• Azure Data Engineering
• Address- Flat no 205, 2nd Floor,
• Nilgiri Block, Aditya Enclave,
• Ameer pet, Hyderabad-1 
• Ph. No 91-9989971070 
• Visit www.visualpath.in 
• E-Mail online_at_visualpath.in

11
THANK YOU
Visit www.visualpath.in