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Azure Data Engineer Azure Data Factory and Spark Online Training Course Details
Course Duration
02 Months
Mon-Fri
8PM to 9PM IST
Mode of Training
Online
Azure Data Engineer Online Training Course Details
- what is Cloud computing
- what are services offering Microsoft azure
- Advantages of cloud computing
- Types of cloud Services
- Cloud deployment models
- Microsoft Azure vs. AWS
- How to Create Azure Account
- Azure Architecture & Services
- How to Create Resources and Resource Groups in Azure
- Azure Resource Manager vs. classic deployment
- How to create Virtual Machine
• How to create storageaccount
• Blob
• File
• Queues
• Tables
• What is Microsoft Azure SQL Database ?
• Azure SQL vs. SQL Server
• SQL Azure Architecture
• How to create Azure SQL Server
• How to Create Database in Azure SQL Server
• What is Polybase in Azure SQL
• What is External tables
• What are limitations compared On-premises to Cloud SQL Server
• Microsoft Azure SQL Database Pricing
• Azure SQL Database Hands-on
• Compare SQL Database vs. Azure DW
• How to Create Azure DW
• How to cross query data in DW
• How to Query Azure SQL DW from On-premises SSMS and Cloud
• How to Load Data to Azure DW using data Factory from Azure SQL
• How to Load Data from on premises to Cloud SQL DW using datafactory
- Introduction to Data Factory
- What is Data Factory?
- Provision Required Azure Resources
- Working with Activities
- Azure Lift and Shift
- Triggers, Monitoring Pipeline
- Copy Data workflow
- Author and Deploy
- How to create pipelines from template
- How to configure different Integration Runtimes
- Different kinds of integration runtimes
- Azure Integration runtime
- Azure Self Hosted Integration Runtime
- SSIS Integration runtime.
• What is Data Lake
• How to store Data into datalake
• How to Query data from data lake to SQL Server.
• Introduction to Azure Data Lake U-SQL Batch Job
• Data Lake Analytics
• What is HD-insight
• U SQL
• What is Data bricks
• Configure data bricks
• Read data from data bricks by creating clusters
- What is DevOps?
- DevOps tools
- Benefits
- Why DevOps?