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You need to use an Azure Big Data solution that allows you to query and transform data to extract insights. What is the most appropriate solution to use?

A. Data Lake Analytics
B. CosmosDB
C. Blob Storage
D. Azure SQL Database

User Lit
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1 Answer

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Final answer:

Data Lake Analytics is the most appropriate solution to use for querying and transforming data to extract insights in Azure Big Data.

Step-by-step explanation:

The most appropriate solution to use for querying and transforming data to extract insights in Azure Big Data is Data Lake Analytics. Data Lake Analytics is a cloud-based service that allows you to run big data analytics jobs on large amounts of data stored in Azure Data Lake Store. It provides a scalable and cost-effective solution for processing and analyzing big data.

With Data Lake Analytics, you can use U-SQL language to query and transform data. U-SQL is a powerful language that combines the simplicity of SQL and the expressiveness of C#.

By using Data Lake Analytics, you can easily extract valuable insights from your big data and make informed decisions based on the analysis.

User Heads
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