DP-203: Data Engineering on Microsoft Azure
BEST SELLER
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.
$6.99
$14.99
Curriculum For This Course
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1. How to keep using Azure Portal for FREE after 12 months?5m
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1. SECTION 1 - Introduction and overview4m
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1. Learning Objectives2m
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2. Data Types12m
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3. Data Storage Types18m
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4. Select Azure Store for application4m
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5. Azure Data Platform Architecture6m
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6. Design and Troubleshoot Partition Distribution type6m
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7. Learning Outcome and Checklist3m
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1. Learning Objectives3m
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2. What is partitioning and partition key6m
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3. Dedicated vs Shared throughput7m
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4. Avoiding hot partition5m
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5. Single partition vs Cross partition4m
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6. Composite Key3m
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7. Partition key best practice8m
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8. Globally Distribution13m
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9. Multi Master9m
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10. Manual vs Automatics Failover8m
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11. Throughput and request units9m
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12. Cosmos DB - 5 consistent levels14m
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13. Cosmos DB Multi Model 5 APIs12m
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14. How Data Lake Gen 2 Evolved?5m
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15. Data Lake vs Blob5m
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16. High Availability vs Disaster Recovery7m
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17. RTO and RPO4m
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18. Azure Storage - HA and DR Options12m
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19. Cosmos DB - HA and DR Options17m
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20. Scenarios - Designing a solution for CosmosDB vs Data Lake vs Blob Storage10m
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21. Learning Outcome and Checklist3m
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1. Learning Objectives4m
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2. Purchasing models and Service Tier13m
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3. Storage and Sharding patterns5m
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4. Data Distribution and Distributing Keys6m
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5. Data Types and Table Types5m
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6. Partitioning5m
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7. Scaling Azure Database11m
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8. Scaling Azure Datawarehouse3m
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9. Azure SQL Database High Availability and Disaster Recovery options29m
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10. Azure SQL Database Backup and Restore19m
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11. Azure SQL Datawarehouse Backup and Restore11m
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12. Azure SQL Database vs Data Warehouse3m
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13. Scenarios - Designing for SQL Database vs Data warehouse6m
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14. Learning Outcome and Checklist6m
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1. SECTION 2 - Introduction and Overview3m
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1. Learning Objectives4m
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2. Design Batch Processing Solutions using Data Factory and DataBricks17m
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3. Data Ingestion Methods13m
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4. Tools to Ingest Data11m
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5. Ingest using Portal and SE9m
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6. Demo: Ingest Data using azcopy6m
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7. Demo: Blob to Gen 29m
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8. Demo: SQL Server to Gen214m
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9. Demo: Amazon S3 to Gen28m
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10. Learning Outcome and Checklist3m
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1. Learning Objectives2m
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2. Real Time Processing12m
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3. Azure Streaming Analytics Service6m
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4. Streaming Analytics - What is time windowing2m
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5. Tumbling Window3m
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6. Hopping Window2m
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7. Sliding Window2m
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8. Session Window6m
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9. Design and Provision Compute Resources9m
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10. Lambda Architecture10m
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11. Learning Outcome and Checklist4m
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1. SECTION 3 - Introduction and Overview2m
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1. Learning Objectives2m
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2. Plan for Secure Endpoints (Public/Private)7m
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3. Access Keys3m
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4. Shared Access Signature (SAS)7m
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5. Active Directory (Azure AD)5m
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6. Role Based Access Control (RBAC)6m
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7. Learning Outcome and Checklist2m
