Azure Data Lake Analytics is a recommended analytics job service for distributed processing of huge datasets saved in the Azure Data Lake Store.
Which of the following languages is used by Data Lake Analytics for query processing?
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A. B. C. D. E.Correct Answer: A
Azure Data Lake Analytics uses U-SQL language for query processing.
U-SQL combines the declarative feature of SQL (Structured Query language) with the procedural extensibility of language C#, and takes the benefit of parallelism for enabling efficient data processing at a massive scale.
Option A is correct.
U-SQL is the query processing language that is used by Azure Data Lake Analytics.
Option B is incorrect.
Data Lake Analytics uses U-SQL, not Scala.
Option C is incorrect.
Spark SQL is the language used by the Azure Databricks.
Option D is incorrect.
There is no such language as Lake SQL.
Option E is incorrect.
Data Lake Analytics uses U-SQL, not Scala for query processing.
References:
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The correct answer is A. U-SQL.
Azure Data Lake Analytics is a distributed analytics job service that enables you to run big data analysis jobs over extremely large and complex data sets stored in Azure Data Lake Store. Data Lake Analytics can handle petabytes of data using a combination of parallelized and distributed processing. Data Lake Analytics is built on top of Apache Hadoop and Apache YARN, and it is integrated with other Azure services like Data Factory, Data Lake Store, and HDInsight.
Data Lake Analytics uses U-SQL as its query language for processing large datasets. U-SQL is a query language that was designed specifically for big data processing. It combines the familiar SQL-like syntax with C# programming constructs to enable you to write powerful, expressive, and scalable queries that can handle large datasets. U-SQL is optimized for distributed processing, and it can handle both structured and unstructured data.
U-SQL is a versatile language that can be used to perform a variety of data processing tasks, including data ingestion, transformation, aggregation, and analysis. It includes a rich set of built-in functions and operators that can be used to manipulate data, as well as support for user-defined functions and operators. U-SQL can also be extended with custom .NET assemblies to support complex data processing tasks.
In summary, Azure Data Lake Analytics uses U-SQL as its query language for processing large datasets. U-SQL is a powerful and versatile language that combines SQL-like syntax with C# programming constructs to enable you to write scalable and expressive queries that can handle big data processing tasks.