DP-203: Data Engineering on Microsoft Azure
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81 Lectures
10h 17m
Prepare for your Microsoft examination with our training course. The DP-203 course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Microsoft certification exam. Pass the Microsoft DP-203 test with flying colors.
$14.99$24.99
Curriculum For This Course
- 1. How to keep using Azure Portal for FREE after 12 months? 5m
- 1. SECTION 1 - Introduction and overview 4m
- 1. Learning Objectives 2m
- 2. Data Types 12m
- 3. Data Storage Types 18m
- 4. Select Azure Store for application 4m
- 5. Azure Data Platform Architecture 6m
- 6. Design and Troubleshoot Partition Distribution type 6m
- 7. Learning Outcome and Checklist 3m
- 1. Learning Objectives 3m
- 2. What is partitioning and partition key 6m
- 3. Dedicated vs Shared throughput 7m
- 4. Avoiding hot partition 5m
- 5. Single partition vs Cross partition 4m
- 6. Composite Key 3m
- 7. Partition key best practice 8m
- 8. Globally Distribution 13m
- 9. Multi Master 9m
- 10. Manual vs Automatics Failover 8m
- 11. Throughput and request units 9m
- 12. Cosmos DB - 5 consistent levels 14m
- 13. Cosmos DB Multi Model 5 APIs 12m
- 14. How Data Lake Gen 2 Evolved? 5m
- 15. Data Lake vs Blob 5m
- 16. High Availability vs Disaster Recovery 7m
- 17. RTO and RPO 4m
- 18. Azure Storage - HA and DR Options 12m
- 19. Cosmos DB - HA and DR Options 17m
- 20. Scenarios - Designing a solution for CosmosDB vs Data Lake vs Blob Storage 10m
- 21. Learning Outcome and Checklist 3m
- 1. Learning Objectives 4m
- 2. Purchasing models and Service Tier 13m
- 3. Storage and Sharding patterns 5m
- 4. Data Distribution and Distributing Keys 6m
- 5. Data Types and Table Types 5m
- 6. Partitioning 5m
- 7. Scaling Azure Database 11m
- 8. Scaling Azure Datawarehouse 3m
- 9. Azure SQL Database High Availability and Disaster Recovery options 29m
- 10. Azure SQL Database Backup and Restore 19m
- 11. Azure SQL Datawarehouse Backup and Restore 11m
- 12. Azure SQL Database vs Data Warehouse 3m
- 13. Scenarios - Designing for SQL Database vs Data warehouse 6m
- 14. Learning Outcome and Checklist 6m
- 1. SECTION 2 - Introduction and Overview 3m
- 1. Learning Objectives 4m
- 2. Design Batch Processing Solutions using Data Factory and DataBricks 17m
- 3. Data Ingestion Methods 13m
- 4. Tools to Ingest Data 11m
- 5. Ingest using Portal and SE 9m
- 6. Demo: Ingest Data using azcopy 6m
- 7. Demo: Blob to Gen 2 9m
- 8. Demo: SQL Server to Gen2 14m
- 9. Demo: Amazon S3 to Gen2 8m
- 10. Learning Outcome and Checklist 3m
- 1. Learning Objectives 2m
- 2. Real Time Processing 12m
- 3. Azure Streaming Analytics Service 6m
- 4. Streaming Analytics - What is time windowing 2m
- 5. Tumbling Window 3m
- 6. Hopping Window 2m
- 7. Sliding Window 2m
- 8. Session Window 6m
- 9. Design and Provision Compute Resources 9m
- 10. Lambda Architecture 10m
- 11. Learning Outcome and Checklist 4m
- 1. SECTION 3 - Introduction and Overview 2m
- 1. Learning Objectives 2m
- 2. Plan for Secure Endpoints (Public/Private) 7m
- 3. Access Keys 3m
- 4. Shared Access Signature (SAS) 7m
- 5. Active Directory (Azure AD) 5m
- 6. Role Based Access Control (RBAC) 6m
- 7. Learning Outcome and Checklist 2m
- 1. Learning Objectives 2m
- 2. Encrypt data at rest and in transit 26m
- 3. Data Auditing 4m
- 4. Data Masking 21m
- 5. Data Privacy and Data Classification 7m
- 6. Data Retention and Archiving Strategy 14m
- 7. Learning Outcome and Checklist 4m
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