Raj Cloud/Azure Data Engineering - Batch 03
Azure Data Engineering - Batch 03

Azure Data Engineering - Batch 03

47 lessons0m total

Course content

TRAINING INSTRUCTIONS

1 lesson
  • Important Instructions

Session 01 to 10

10 lessons
  • S01 Course Overview | Different Roles in Cloud
  • S02 Cloud Overview & Subscription
  • S03 Subscription & Storage Accounts
  • S04 Introduction To Data Factory
  • S05 Integration Run Time & Linked Service P1
  • S06 Integration Run Time & Linked Service P2 | Pipeline Dataset & Activity
  • S07 Copy Data Activity
  • S08 Parameterization of Pipeline
  • S09 OLTP vs OLAP | Copy Data to SQL Database
  • S10 Copy Data To SQL Server

Session 11 to 20

10 lessons
  • S11 Git Integration
  • S12 For Each Loop & Full Load Pipeline
  • S13 For Each Loop & Full Load Pipeline P1
  • S14 For Each Loop & Full Load Pipeline P2
  • S15 Activity Log Via Stored Procedure
  • S16 Key Vault & Shared Integration Run Time
  • S17 Delta Load For Single File
  • S18 Delta Load Discussion
  • S19 Delta Load For Each | Data Modelling
  • S20 Data Warehousing

Session 21 to 30

10 lessons
  • S21 Data Flow & Data Migration From SQL Server To Azure
  • S22 Triggers
  • S23 Email Alert Using Logic App
  • S24 Get Meta Data Activity
  • S25 Tumbling Window & Event Based Triggers
  • S26 Synapse Analytics P1
  • S27 Synapse Analytics P2
  • S28 Data Flow | Schema Drift | Performance Tuning
  • S29 SCD Type 2 | Fact & Dimension Data Loading
  • S30 Cache Property in Data Flow | Get Data From HTTP & API

Session 31 to 40

10 lessons
  • S31 Tumbing Window Trigger
  • S32 Tumbling Window Trigger Past Date
  • S33 Project Description | Interview Preparation | Technical Challenges
  • S34 Why Fabric is Important? (Class 1 of Fabric)
  • S35 Why Spark & Databricks is Important? (Class 1 of Databricks)
  • S36 Fabric Onelake (Class 2 of Fabric)
  • S37 Databricks Workspace? (Class 2 of Databricks)
  • S38 Fabric Data Factory (Class 3 of Fabric)
  • S39 Databricks Notebooks | Managed Volume | Read CSV? (Class 2 of Databricks)
  • S40 Python Colllection | RDD | Spark Architecture

Session 41 to 46

6 lessons
  • S41 Data Gateway & SQL End Point (Class 4 of Fabric)
  • S42 Session Data Source API & Data Frame API (Class 4 Of Databricks)
  • S43 Spark Fabric (Class 5 Of Fabric)
  • S44 Why Delta Table? | Delta Lake & Lake House (Class 5 Of Databricks)
  • S45 Key Vault Integration Databricks
  • S46 Project Databricks Implementation
₹21,999

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  • 47 on-demand lessons
  • Lifetime access
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