Designing an Azure Data Solution Video Course

DP-201: Designing an Azure Data Solution

Your Microsoft DP-201 exam is just around the corner, right? So, it's high time to find an effective preparation tool! Our training course is what you really need! This is a series of videos led by the experienced IT instructors who will provide you with a detailed overview of the DP-201 certification test. Ace your Microsoft DP-201 at the first attempt and obtain the Designing an Azure Data Solution credential with ease.

# of Students
138
# of Lectures
81
Course Length
5 h
Course Rating
4.5
Price $32.99
Today $29.99

Curriculum for DP-201 Video Course

Introduction

  Video Name Time
  1. How to keep using Azure Portal for FREE after 12 months? 5:00
  Video Name Time
  1. SECTION 1 - Introduction and overview 4:00
  Video Name Time
  1. Learning Objectives 2:00
  2. Data Types 12:00
  3. Data Storage Types 18:00
  4. Select Azure Store for application 4:00
  5. Azure Data Platform Architecture 6:00
  6. Design and Troubleshoot Partition Distribution type 6:00
  7. Learning Outcome and Checklist 3:00
  Video Name Time
  1. Learning Objectives 3:00
  2. What is partitioning and partition key 6:00
  3. Dedicated vs Shared throughput 7:00
  4. Avoiding hot partition 5:00
  5. Single partition vs Cross partition 4:00
  6. Composite Key 3:00
  7. Partition key best practice 8:00
  8. Globally Distribution 13:00
  9. Multi Master 9:00
  10. Manual vs Automatics Failover 8:00
  11. Throughput and request units 9:00
  12. Cosmos DB - 5 consistent levels 14:00
  13. Cosmos DB Multi Model 5 APIs 12:00
  14. How Data Lake Gen 2 Evolved? 5:00
  15. Data Lake vs Blob 5:00
  16. High Availability vs Disaster Recovery 7:00
  17. RTO and RPO 4:00
  18. Azure Storage - HA and DR Options 12:00
  19. Cosmos DB - HA and DR Options 17:00
  20. Scenarios - Designing a solution for CosmosDB vs Data Lake vs Blob Storage 10:00
  21. Learning Outcome and Checklist 3:00
  Video Name Time
  1. Learning Objectives 4:00
  2. Purchasing models and Service Tier 13:00
  3. Storage and Sharding patterns 5:00
  4. Data Distribution and Distributing Keys 6:00
  5. Data Types and Table Types 5:00
  6. Partitioning 5:00
  7. Scaling Azure Database 11:00
  8. Scaling Azure Datawarehouse 3:00
  9. Azure SQL Database High Availability and Disaster Recovery options 29:00
  10. Azure SQL Database Backup and Restore 19:00
  11. Azure SQL Datawarehouse Backup and Restore 11:00
  12. Azure SQL Database vs Data Warehouse 3:00
  13. Scenarios - Designing for SQL Database vs Data warehouse 6:00
  14. Learning Outcome and Checklist 6:00
  Video Name Time
  1. SECTION 2 - Introduction and Overview 3:00
  Video Name Time
  1. Learning Objectives 4:00
  2. Design Batch Processing Solutions using Data Factory and DataBricks 17:00
  3. Data Ingestion Methods 13:00
  4. Tools to Ingest Data 11:00
  5. Ingest using Portal and SE 9:00
  6. Demo: Ingest Data using azcopy 6:00
  7. Demo: Blob to Gen 2 9:00
  8. Demo: SQL Server to Gen2 14:00
  9. Demo: Amazon S3 to Gen2 8:00
  10. Learning Outcome and Checklist 3:00
  Video Name Time
  1. Learning Objectives 2:00
  2. Real Time Processing 12:00
  3. Azure Streaming Analytics Service 6:00
  4. Streaming Analytics - What is time windowing 2:00
  5. Tumbling Window 3:00
  6. Hopping Window 2:00
  7. Sliding Window 2:00
  8. Session Window 6:00
  9. Design and Provision Compute Resources 9:00
  10. Lambda Architecture 10:00
  11. Learning Outcome and Checklist 4:00
  Video Name Time
  1. SECTION 3 - Introduction and Overview 2:00
  Video Name Time
  1. Learning Objectives 2:00
  2. Plan for Secure Endpoints (Public/Private) 7:00
  3. Access Keys 3:00
  4. Shared Access Signature (SAS) 7:00
  5. Active Directory (Azure AD) 5:00
  6. Role Based Access Control (RBAC) 6:00
  7. Learning Outcome and Checklist 2:00
  Video Name Time
  1. Learning Objectives 2:00
  2. Encrypt data at rest and in transit 26:00
  3. Data Auditing 4:00
  4. Data Masking 21:00
  5. Data Privacy and Data Classification 7:00
  6. Data Retention and Archiving Strategy 14:00
  7. Learning Outcome and Checklist 4:00

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