1.Get to know computing and mass storage solutions for overloads related to data engineering

• Introduction to Azure Synapse Analytics
• Describe Azure Databricks
• Introduction to Azure Data Lake Storage
• Describe the architecture of Delta Lake

• Work with data streams with Azure Stream Analytics

 2: Design and implement service layer

• Design multi-dimensional scheme to optimize analytical overloads
• Non-code transformation on a huge scale thanks to Azure Data Factory
• Complete slowly changing dimensions in Azure Synapse Analytics streams

 3: Data engineering considerations for source files

• Design a Modern Data Warehouse using Azure Synapse Analytics
• Secure a data warehouse in Azure Synapse Analytics

 4: Launch interactive queries with serverless SQL Azure Synapse Analytics pools

• Be acquainted with serverless SQL pools in Azure Synapse
• Performing data related queries in the lake with SQL Azure Synapse serverless pools
• Develop metadata objects in serverless SQL Azure Synapse pools
• Secure data and manage users in serverless SQL Azure Synapse pools

 5: Exploring and transforming data in Azure Databricks

• Describe Azure Databricks
• Reading and recording data in Azure Databricks
• Work with DataFrames in Azure Databricks
• Work with advanced DataFrames methods in Azure Databricks

 6: Downloading and loading data to data warehouse

• Use the best solutons related to data loading in Azure Synapse Analytics
• Acquiring within the scale of petabytes with Azure Data Factory

 7: Transform data with Azure Data Factory or Azure Synapse Pipelines

• Data integration with Azure Data Factory or Azure Synapse Pipelines
• Non-code transformation on a huge scale thanks to Azure Data Factory orl Azure Synapse Pipelines

 8: Transfer orchestration and data transformation in Azure Synapse Pipelines

• Organize transfer and data transformation in Azure Data Factory

 9: Query performance optimization thanks to dedicated Azure Synapse pools

• Opitmize data qarehouse wydajność zapytań magazynu danych w usłudze Azure Synapse Analytics
• Get acquainted with functions of data warehouse developers in Azure Synapse Analytics

10 Analysing and optimising data storage in data warehouse

11: Hybrid Transactional/Analytical Processing (HTAP) service with Azure Synapse link

• Project Hybrid Transactional/Analytical Processing with Azure Synapse Analytics
• Skonfiguruj łącze Azure Synapse za pomocą usługi Azure Cosmos DB
• Send queries to Azure Cosmos DB with Spark pools
• Send queries to Azure Cosmos DB with serverless SQL pools
• Analyze and optimize data warehouses in Azure Synapse Analytics

 12: Complex securities thanks to Azure Synapse Analytics

• Secure data warehouses in Azure Synapse Analytics
• Configure secret entries and manage them in Azure Key Vault
• Implement sensitive data compatibility control

 13: Stream processing in real-time with Stream Analytics service

• Activate reliable message service for Big Data applications with Azure Event Hubs
• Working with data streams with Azure Stream Analytics
• Process data streams with Azure Stream Analytics

14: Creating stream processing with Event Hubs and Azure Databricks

• Process stream transfer data with structural stream Azure Databricks transfer

 15: Creating reports using Power BI integration with Azure Synpase Analytics

• Create reports with Power BI service, using its integration with Azure Synapse Analytics

16: Performing integrated machine learning processes in Azure Synapse Analytics

• Use integrated machine learning process in Azure Synapse Analytics