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Data Engineering
Unit 1
Azure Data Engineer
Azure Data Factory
Azure SQL Database
Azure Synapse Analytics
Azure Cosmos DB
Azure Data Lake Storage
Unit 2
Pyspark
Introduction to Pyspark
Working with DataFrames in Pyspark
Data Processing and Analysis with Pyspark
Machine Learning with Pyspark
Optimizing Pyspark Performance
Unit 3
SQL
Introduction to SQL
Data Retrieval with SQL
Data Manipulation with SQL
Unit 1 • Chapter 3
Azure Synapse Analytics
Summary
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Concept Check
What is the primary purpose of Azure Synapse Analytics?
Data integration, warehousing, and analytics
Data visualization and reporting
Machine learning and AI
Application development and hosting
What tool within Azure Synapse Analytics allows for seamless data integration?
Azure Data Factory
Azure Databricks
Azure Stream Analytics
Azure SQL Data Warehouse
Which service in Azure Synapse Analytics is designed for big data processing?
Azure Spark Pools
Azure SQL Server
Azure Cosmos DB
Azure Data Lake Storage
What role does Azure Synapse Analytics play in modern data architecture?
Stand-alone database management system
Limited use for small datasets
Specialized tool for data visualization
Unified platform for data processing
How does Azure Synapse Analytics support real-time analytics?
Integration with Azure Stream Analytics
Scheduled batch processing only
Manual data loading required
Limited analytics capabilities
Check Answer
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Azure Cosmos DB