Implementing an Azure Data Solution
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Course Overview
Azure Data Solution certification training focuses on the skills and knowledge required for designing, building, and managing data solutions on Microsoft Azure. The certification covers areas such as data storage, processing, and analysis, as well as data governance, privacy, and security. The program demonstrates expertise in designing and implementing scalable, secure, and highly available data solutions using Azure data services, such as Azure Cosmos DB, Azure Data Factory, and Azure Synapse Analytics
At the end of the training, participants will be able to:
- Survey the services in the Azure Data Platform
- Identify the tasks that are performed by a Data Engineer
- Create an Azure Storage Account
- Explain Azure Data Lake storage
- Perform transformations with Azure Databricks
- Troubleshoot common data storage issues
- Manage disaster recovery.
Pre-requisite
In addition to their professional experience, candidates who take this training should have technical knowledge equivalent to the following courses:
1.Microsoft Azure fundamentals (AZ-900)
Duration
3 days
Course Outline
- Explain the evolving world of data
- Survey the services in the Azure Data Platform
- Identify the tasks that are performed by a Data Engineer
- Describe the use cases for the cloud in a Case Study
- Lab : Azure for the Data Engineer
- Choose a data storage approach in Azure
- Create an Azure Storage Account
- Explain Azure Data Lake storage
- Upload data into Azure Data Lake
- Lab : Working with Data Storage
- Explain Azure Databricks
- Work with Azure Databricks
- Read data with Azure Databricks
- Perform transformations with Azure Databricks
- Lab : Enabling Team Based Data Science with Azure Databricks
- Create an Azure Cosmos DB database built to scale
- Insert and query data in your Azure Cosmos DB database
- Build a .NET Core app for Cosmos DB in Visual Studio Code
- Distribute your data globally with Azure Cosmos DB
- Lab : Building Globally Distributed Databases with Cosmos DB
- Use Azure SQL Database
- Describe Azure SQL Data Warehouse
- Creating and Querying an Azure SQL Data Warehouse
- Use PolyBase to Load Data into Azure SQL Data Warehouse
- Lab : Working with Relational Data Stores in the Cloud
- Explain data streams and event processing
- Data Ingestion with Event Hubs
- Processing Data with Stream Analytics Jobs
- Lab : Performing Real-Time Analytics with Stream Analytics
- Explain how Azure Data Factory works
- Azure Data Factory Components
- Azure Data Factory and Databricks
- Lab : Orchestrating Data Movement with Azure Data Factory
Accordion Content
- Explain the monitoring capabilities that are available
- Troubleshoot common data storage issues
- Troubleshoot common data processing issues
- Manage disaster recovery
- Lab : Monitoring and Troubleshooting Data Storage and Processing
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