Step 2: Geballtes Wissen zu Datenbankwissen für Azure
4 Tage ADN - Data Engineering on Microsoft Azure (DP-203)
Inhalte:
- Explore compute and storage options for data engineering workloads
- Design and implement the serving layer
- Data engineering considerations for source files
- Run interactive queries using Azure Synapse Analytics serverless SQL pools
- Explore, transform, and load data into the Data Warehouse using Apache Spark
- Data exploration and transformation in Azure Databricks
- Ingest and load data into the data warehouse
- Transform data with Azure Data Factory or Azure Synapse Pipelines
- Orchestrate data movement and transformation in Azure Synapse Pipelines
- Optimize query performance with dedicated SQL pools in Azure Synapse
- Analyze and Optimize Data Warehouse Storage
- Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
- End-to-end security with Azure Synapse Analytics
- Real-time Stream Processing with Stream Analytics
- Create a Stream Processing Solution with Event Hubs and Azure Databricks
- Build reports using Power BI integration with Azure Synpase Analytics
- Perform Integrated Machine Learning Processes in Azure Synapse Analytics
Weitere Inhalte finden Sie hier.