Implement an Azure Data Solution [DP-200]

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 DP-200 certification exam.

Why You Should Go for This Certification?

  • 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: Implement an Azure Data Solution [DP-200] Training

Become expert in Implement an Azure Data Solution [DP-200] by mastering these 12 critical core skills…


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Azure for Data Engineer
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Working with Data Storage
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Azure Databricks
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Databases with Cosmos DB
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Working with Relational Data
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Performing Real-Time Analytics
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Orchestrating Data Movement
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Azure SQL Database
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Securing Azure Data Platforms
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Introduction to security
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Data Storage & Processing
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Manage Disaster Recovery

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