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Answer: Implement Azure Synapse Analytics database templates to standardize data structures.
Implementing Azure Synapse Analytics database templates is crucial for standardizing data structures and ensuring that the data exploration layer is consistent and scalable. This approach aligns with the need to analyze real-time financial transactions efficiently using both SQL serverless and Spark clusters.
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You are tasked with creating a data exploration layer for a multinational corporation that deals with real-time financial transactions. The company wants to leverage Azure Synapse Analytics to analyze these transactions using both SQL serverless and Spark clusters. Describe the steps you would take to set up this environment, including how you would optimize the performance of SQL queries and Spark jobs, and how you would ensure data consistency and security across both platforms.
A
Use Azure Data Factory to orchestrate data movement and transformation tasks.
B
Implement Azure Synapse Analytics database templates to standardize data structures.
C
Leverage Azure SQL Database for real-time transaction processing.
D
Deploy Azure Databricks for advanced analytics and machine learning.
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