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A multinational corporation is implementing a new enterprise data warehouse solution in Azure. The solution needs to integrate data from various on-premises and cloud sources, process petabytes of data using massively parallel processing (MPP) capabilities, and provide advanced analytics and machine learning functionalities. Which Azure service is BEST suited for this comprehensive data warehousing and analytics platform?
- AAzure SQL Database
- BAzure Databricks
- CAzure Data Lake Storage Gen2
- DAzure Synapse Analytics
Show answer & explanationAnswer & explanation
Correct answer: D. Azure Synapse Analytics
Azure Synapse Analytics is a unified analytics service that brings together enterprise data warehousing and Big Data analytics. It offers MPP capabilities for petabyte-scale data, integrates with various data sources, and provides advanced analytics, machine learning, and data integration features, making it ideal for a comprehensive enterprise data warehouse.
Why the other options are wrong
- A. Azure SQL Database is a relational database and does not provide the MPP capabilities or integrated Big Data analytics features required for petabyte-scale data warehousing.
- B. Azure Databricks is an Apache Spark-based analytics platform, good for big data processing and ML, but Synapse offers a more integrated data warehousing solution with MPP SQL pools.
- C. Azure Data Lake Storage Gen2 is a storage layer for big data, not a complete analytics platform with MPP and advanced analytics.
Azure Synapse Analytics
A unified analytics service that brings together enterprise data warehousing, Big Data analytics, and data integration into a single platform.
- Massively Parallel Processing (MPP) for large datasets
- Integrates data warehousing and Big Data analytics
- Supports advanced analytics and machine learning
Memory trick: Synapse: Connecting all your data brains.