Microsoft Azure Data Engineer Certification [DP-200 & DP-201]

What Is Data Engineering?

Data Engineering is the discipline of Designing, Building, and Maintaining a robust Infrastructure for Collecting, Transforming, Storing, and Serving Data for the purposes of Machine Learning, Analytic Reporting, and/or Decision Management.

Why Microsoft Azure Data Engineer?

Microsoft Azure offers a spread of services dedicated to addressing common business data engineering problems. This skill teaches how these Azure services work together to enable you to Design, Implement, Operationalize, Monitor, Optimize, and Secure Data Solutions on Microsoft Azure. This path is designed to address the Microsoft Azure Data Engineer exam.

Exam required for becoming an Azure Data Engineer Associate:

1. Implementing an Azure Data Solution [DP-200]
2. Designing an Azure Data Solution [DP-201]

Why You Should Go for This Certification?

  • According to reports, around 1,000 new customers daily sign up to Azure which means every year over 365,000 new companies adopt Azure.
  • Azure is the fastest-growing enterprise Cloud platform leveraged by leading IT companies across the globe.
  • As a result of the increased demand for Microsoft Azure Data Engineers in the industry today, a CV with this gleaming certification holds a great advantage.
  • In terms of job prospects and earning, a certification like this leads to a rampant increment in both.
  • Updating your professional profiles with this certificate will elevate your job profile and increase the possibility of getting recruited.
  • Most of the people agree that certification has improved their earning and 84% of people have seen better job prospects after getting certified.
  • It makes you stand out from the crowd.

Introducing: Microsoft Azure Data Engineer Certification [DP-200 & DP-201] Training

Become expert in Microsoft Azure Data Engineer Certification [DP-200 & DP-201] by mastering these 12 critical core skills…


img

Azure for Data Engineer
img

Working with Data Storage
img

Azure Databricks
img

Databases with Cosmos DB
img

Working with Relational Data
img

Performing Real-Time Analytics
img

Data Platform Security Design
img

Design Enterprise BI Solution
img

Identity Management
img

Design Resiliency & Scale
img

Efficiency & Operations Design
img

Batch Processing

COURSE BREAKDOWN


  1. EXPLAIN THE EVOLVING WORLD OF DATA
  2. SURVEY THE SERVICES IN THE AZURE DATA PLATFORM
  3. IDENTIFY THE TASKS THAT ARE PERFORMED BY A DATA ENGINEER
  4. DESCRIBE THE USE CASES FOR THE CLOUD IN A CASE STUDY
  5. ACTIVITY GUIDE – AZURE FOR THE DATA ENGINEER

  1. CHOOSE A DATA STORAGE APPROACH IN AZURE
  2. CREATE AN AZURE STORAGE ACCOUNT
  3. EXPLAIN AZURE DATA LAKE STORAGE
  4. UPLOAD DATA INTO AZURE DATA LAKE
  5. ACTIVITY GUIDE – WORKING WITH DATA STORAGE

  1. EXPLAIN AZURE DATABRICKS
  2. WORK WITH AZURE DATABRICKS
  3. READ DATA WITH AZURE DATABRICKS
  4. PERFORM TRANSFORMATIONS WITH AZURE DATABRICKS
  5. ACTIVITY GUIDE – ENABLING TEAM BASED DATA SCIENCE WITH AZURE DATABRICKS

  1. CREATE AN AZURE COSMOS DB DATABASE BUILT TO SCALE
  2. INSERT AND QUERY DATA IN YOUR AZURE COSMOS DB DATABASE
  3. BUILD A .NET CORE APP FOR COSMOS DB IN VISUAL STUDIO CODE
  4. DISTRIBUTE DATA GLOBALLY WITH AZURE COSMOS DB
  5. ACTIVITY GUIDE – BUILDING GLOBALLY DISTRIBUTED DATABASES WITH COSMOS DB

  1. USE AZURE SQL DATABASE
  2. DESCRIBE AZURE SQL DATA WAREHOUSE
  3. CREATING AND QUERYING AN AZURE SQL DATA WAREHOUSE
  4. USE POLYBASE TO LOAD DATA INTO AZURE SQL DATA WAREHOUSE
  5. ACTIVITY GUIDE – WORKING WITH RELATIONAL DATA STORES IN THE CLOUD

  1. EXPLAIN DATA STREAMS AND EVENT PROCESSING
  2. DATA INGESTION WITH EVENT HUBS
  3. PROCESSING DATA WITH STREAM ANALYTICS JOBS
  4. ACTIVITY GUIDE – PERFORMING REAL-TIME ANALYTICS WITH STREAM ANALYTICS

  1. EXPLAIN HOW AZURE DATA FACTORY WORKS
  2. AZURE DATA FACTORY COMPONENTS
  3. AZURE DATA FACTORY AND DATABRICKS
  4. ACTIVITY GUIDE – ORCHESTRATING DATA MOVEMENT WITH AZURE DATA FACTORY

  1. AN INTRODUCTION TO SECURITY
  2. KEY SECURITY COMPONENTS
  3. SECURING STORAGE ACCOUNTS AND DATA LAKE STORAGE
  4. SECURING DATA STORES
  5. SECURING STREAMING DATA
  6. ACTIVITY GUIDE – SECURING AZURE DATA PLATFORMS

  1. EXPLAIN THE MONITORING CAPABILITIES THAT ARE AVAILABLE
  2. TROUBLESHOOT COMMON DATA STORAGE ISSUES
  3. TROUBLESHOOT COMMON DATA PROCESSING ISSUES
  4. MANAGE DISASTER RECOVERY
  5. ACTIVITY GUIDE – MONITORING AND TROUBLESHOOTING DATA STORAGE AND PROCESSING

  1. CORE PRINCIPLES OF CREATING ARCHITECTURES
  2. DESIGN WITH SECURITY IN MIND
  3. PERFORMANCE AND SCALABILITY
  4. DESIGN FOR AVAILABILITY AND RECOVERABILITY
  5. DESIGN FOR EFFICIENCY AND OPERATIONS
  6. CASE STUDY
  7. ACTIVITY GUIDE: CASE STUDY

  1. LAMBDA ARCHITECTURES FROM A BATCH MODE PERSPECTIVE
  2. DESIGN AN ENTERPRISE BI SOLUTION IN AZURE
  3. AUTOMATE ENTERPRISE BI SOLUTIONS IN AZURE
  4. ARCHITECT AN ENTERPRISE-GRADE CONVERSATIONAL BOT IN AZURE
  5. ACTIVITY GUIDE: ARCHITECT AN ENTERPRISE-GRADE CONVERSATIONAL BOT IN AZURE

  1. DESCRIBE LAMBDA ARCHITECTURES FOR A REAL-TIME PERSPECTIVE
  2. ARCHITECT A STREAM PROCESSING PIPELINE WITH AZURE STREAM ANALYTICS
  3. DESIGN A STREAM PROCESSING PIPELINE WITH AZURE DATABRICKS
  4. CREATE AN AZURE IOT REFERENCE ARCHITECTURE
  5. ACTIVITY GUIDE: AZURE REAL-TIME REFERENCE ARCHITECTURES

  1. DEFENSE IN DEPTH SECURITY APPROACH
  2. IDENTITY MANAGEMENT
  3. INFRASTRUCTURE PROTECTION
  4. ENCRYPTION USAGE
  5. NETWORK LEVEL PROTECTION
  6. APPLICATION SECURITY
  7. ACTIVITY GUIDE: DATA PLATFORM SECURITY DESIGN CONSIDERATIONS

  1. ADJUST WORKLOAD CAPACITY BY SCALING
  2. OPTIMIZE NETWORK PERFORMANCE
  3. DESIGN FOR OPTIMIZED STORAGE AND DATABASE PERFORMANCE
  4. IDENTIFY PERFORMANCE BOTTLENECKS
  5. DESIGN A HIGHLY AVAILABLE SOLUTION
  6. INCORPORATE DISASTER RECOVERY INTO ARCHITECTURES
  7. DESIGN BACKUP AND RESTORE STRATEGIES
  8. ACTIVITY GUIDE: DESIGNING FOR RESILIENCY AND SCALE

  1. MAXIMIZING THE EFFICIENCY OF YOUR CLOUD ENVIRONMENT
  2. USE MONITORING AND ANALYTICS TO GAIN OPERATIONAL INSIGHTS
  3. USE AUTOMATION TO REDUCE EFFORT AND ERROR
  4. ACTIVITY GUIDE: DESIGN FOR EFFICIENCY AND OPERATIONS

  1. EXPLAIN DATA STREAMS AND EVENT PROCESSING
  2. DATA INGESTION WITH EVENT HUBS
  3. PROCESSING DATA WITH STREAM ANALYTICS JOBS
  4. ACTIVITY GUIDE – PERFORMING REAL-TIME ANALYTICS WITH STREAM ANALYTICS