Course Duration – 24 Hours
Course Contents
Day 1
Implement Data Storage Solutions (40-45%)
Implement non-relational data stores
· Implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage
· Implement data distribution and partitions
· Implement a consistency model in Cosmos DB·provision a non-relational data store
· Provide access to data to meet security requirements
· Implement for high availability, disaster recovery, and global distribution
Day 2
Implement relational data stores
· Provide access to data to meet security requirements
· Implement for high availability and disaster recovery
· Implement data distribution and partitions for Azure Synapse Analytics
· Implement Poly Base
Manage data security
· Implement data masking
· Encrypt data at rest and in motion
Day 3
Manage and Develop Data Processing (25-30%)
Develop batch processing solutions
· Develop batch processing solutions by using Data Factory and Azure Data bricks
· ingest data by using Poly Base
· Implement the integration runtime for Data Factory
· Create linked services and datasets·create pipelines and activities
· Create and schedule triggers
· Implement Azure Databricks clusters, notebooks, jobs, and autoscaling
· Ingest data into Azure Databricks
Day 4
Develop streaming solutions
· Configure input and output
· Select the appropriate built-in functions
Implement event processing by using Stream Analytics
Monitor and Optimize Data Solutions (30-35%)
Monitor data storage
· Monitor relational and non-relational data sources
· Implement Blob storage monitoring
· Implement Data Lake Storage monitoring
· Implement Azure Synapse Analytics monitoring
· Implement Cosmos DB monitoring
· Configure Azure Monitor alerts
· Implement auditing by using Azure Log Analytics
Day-5
Day 5
Monitor data processing
· Monitor Data Factory pipelines
· Monitor Azure Databricks
· Monitor Stream Analytics
· Configure Azure Monitor alerts
· Implement auditing by using Azure Log Analytic
Optimize of Azure data solutions
· Troubleshoot data partitioning bottlenecks
· Optimize Data Lake Storage
· Optimize Stream Analytics
· Optimize Azure Synapse Analytics
· Manage the data lifecycle
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