First Section
-
Manual Part 1
-
Azure Data Engineering Part 1-Overview (5:23)
-
Azure Data Engineering Part 2-Introduction to Cloud (18:25)
-
Azure Data Engineering Part 3-Services (11:32)
-
Azure Data Engineering Part 4-Services (10:38)
-
Azure Data Engineering Part 5- Azure Overview (14:01)
-
Azure Data Engineering Part 6- Next Steps (20:40)
-
Azure Data Engineering Part 7- IaaS Vs PaaS V SaaS (19:43)
-
Azure Data Engineering Part 8 Creating- IaaS and PaaS -Demo (36:09)
-
Azure Data Engineering Part 9 Introduction to Data Engineering (16:57)
-
Azure Data Engineering Part 10- Non Relational Data Store (14:59)
-
Azure Data Engineering Part 11- Revision and Create Virtual Machine (22:00)
-
Azure Data Engineering Part 12- Storage Accounts (16:17)
-
Azure Data Engineering Part 13- Create Storage account DEMO (15:32)
-
Azure Data Engineering Part 14- Create Blob Storage DEMO (18:27)
-
Azure Data Engineering Part 15- Create File Share DEMO (13:58)
-
Azure Data Engineering Part 16-Revision (4:57)
-
Azure Data Engineering Part 17-Display Data using Power BI from Blob (31:08)
-
Azure Data Engineering Part 18- Azure Table Storage (18:49)
-
Azure Data Engineering Part 19-Azure Queue Storage (9:13)
-
Azure Data Engineering Part 20- Enable Data Lake (4:45)
-
Azure Data Engineering Part 22-Replication (12:31)
-
Azure Data Engineering Part 23-Revision (9:21)
-
Azure Data Engineering Part 24-Cosmos DB Intro (10:31)
-
Azure Data Engineering Part 25- Cosmos DB Use Cases (8:47)
-
Azure Data Engineering Part 26-Cosmos DB APIs (9:42)
-
Azure Data Engineering Part 27-Demo-Create Cosmos DB (13:27)
-
Azure Data Engineering Part 28-Creating Containers (11:48)
-
Azure Data Engineering Part 29-Consume Cosmos DB through PBI (7:32)
-
Azure Data Engineering Part 30-Cosmos DB Performance (8:27)
-
Azure Data Engineering Part 31-Cosmos DB Settings (9:37)
-
Azure Data Engineering Part 32-Revision (9:30)
-
Azure Data Engineering Part 33-Azure Data Factory -Introduction (10:59)
-
Azure Data Engineering Part 34- Azure Data Factory Components (6:34)
-
Azure Data Engineering Part 35- Azure Data Factory Vs SSIS (10:25)
-
Azure Data Engineering Part 36-Azure Data Factory Components (18:04)
-
Azure Data Engineering Part 37-Azure Data Factory Demo (24:26)
-
Azure Data Engineering Part 38-Azure Data Factory Review (9:16)
-
Azure Data Engineering Part 39-Azure Data Factory Demo Part 2 (19:18)
-
Azure Data Engineering Part 40-Azure Data Factory Demo- from Storage acct to SQL (19:28)
-
Azure Data Engineering Part 41-Azure Data Factory Integration Runtime (6:41)
-
Azure Data Engineering Part 42- ADF Trigger (6:17)
-
Azure Data Engineering Part 43-Azure Data Factory Monitor (4:52)
-
Azure Data Engineering Part 44-Azure Synapse Analytics Introduction (0:50)
-
Azure Data Engineering Part 45-Azure Synapse Analytics Dedicated SQL Vs SQL Pool (6:58)
-
Azure Data Engineering Part 46-Azure Synapse Analytics Overview (14:08)
-
Azure Data Engineering Part 47-Azure Synapse Analytics - what is it (10:11)
-
Azure Data Engineering Part 48-Azure Synapse Analytics More about it (17:33)
-
Azure Data Engineering Part 49-Azure Synapse Analytics Read Data from Azure Storage Account (16:42)
-
Azure Data Engineering Part 50- Stream Analytics-Introduction (10:40)
-
Azure Data Engineering Part 51- Stream Analytics-Create Event Hub (11:19)
-
Azure Data Engineering Part 52- Stream Analytics- Send and Receive Message to event Hub (15:41)
-
Azure Data Engineering Part 53- Stream Analytics- Stream Messages from event Hub to Dedicated SQL (12:13)
-
Azure Data Engineering Part 54- Stream Analytics-Stream data from event Hub to Dedicated SQL Part 2 (3:09)
-
Azure Data Engineering Part 55- Stream Analytics-Stream data from event Hub to Dedicated SQL Part 3 (13:33)
