Description
In this course, you will learn :
- Creating ARM templates
- Accessing Azure Storage Service
- Azure Cost and Billing Services
- Analyzing Data Engineering Process
- Understanding Azure Services
- Working with Azure Storage
- Configuring Security in Azure Storage
- Storing blob data in Azure Storage
- Working with Azure Data Factory
- Integrating Azure Data Factory
- Azure Data Factory security
- Implementing Data Factory connectors
- Implementing Data Factory transformations
- Implementing slowly changing dimensions
- Working with SQL server integration
- Configuring a git repository
- Integrating Azure monitor and set up alerts
- Working with Azure Synapse Analytics
- Managing Azure Synapse Analytics workspace
- Querying data and Visualizing analytics
- Working with Azure Synapse pipeline components
- Working with various types of hubs
- Designing a Modern Data Warehouse Architecture
- Building a Data Warehouse
- Working with different file formats
- Preparing and transforming data
- Loading data using Azure Synapse Analytics
- Implementing workload management
- Optimizing data queries in Azure
- Authenticating in Azure Synapse Analytics
- Working with SQL and Spark pool
- Managing workloads in Azure Synapse Analytics
- Authentication and authorization in Azure Synapse Analytics
- Implementing encryption in Azure Synapse Analytics
- Working with Azure Databricks
- Running interactive and scheduled data analysis workloads
Syllabus :
- Introduction to Microsoft Azure and its Services
- Introduction to Azure Data Engineering
- Storing Data in Azure
- Azure Data Factory Part - I
- Azure Data Factory Part - II
- Azure Synapse Analytics Part - I
- Azure Synapse Analytics Part - II
- Work with Data Warehouses using Azure Synapse Analytics - Part I
- Work with Data Warehouses using Azure Synapse Analytics - Part II
- Optimizing Data Queries in Azure
- Managing Workloads in Azure Synapse Analytics
- Deep Dive into Azure Databricks