What is U-SQL purpose?

U-SQL is a language that combines declarative SQL with imperative C# to let you process data at any scale. Through the scalable, distributed-query capability of U-SQL, you can efficiently analyze data across relational stores such as Azure SQL Database.

What is U-SQL in ADF?

The U-SQL Script file, which I will call SummarizeLogs. usql, will contain the following code, which Extracts the schema of the log files, summarizes and counts certain fields, and then outputs the summary file to ADLA via a parameter that will be specified in the Azure Data Factory (ADF) pipeline later.

What are the concepts provided by U-SQL?

U-SQL combines some familiar concepts from a variety of languages: It is a declarative language like SQL, it follows a dataflow-like composition of statements and expressions like Pig and Cascading*,* and provides simple ways to extend the language with user-defined operators, user-defined aggregators and user-defined …

Where is Transact SQL concept used?

T-SQL identifiers, meanwhile, are used in all databases, servers, and database objects in SQL Server. These include the following tables, constraints, stored procedures, views, columns and data types.

What is the authentication type that U-SQL activity supports against data Lake Analytics?

U-SQL activity supports below authentication types against Data Lake Analytics: Service principal authentication. User credential (OAuth) authentication.

Is Azure Data Lake SQL?

History. Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built.

What is the difference between Databricks and HDInsight?

Azure HDInsight is a cloud distribution of the Hadoop components from the Hortonworks Data Platform (HDP). Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform.

What is difference between data lake and Databricks?

From our simple example, we identified that Data Lake Analytics is more efficient when performing transformations and load operations by using runtime processing and distributed operations. On the other hand, Databricks has rich visibility using a step by step process that leads to more accurate transformations.

What is difference between SQL and T-SQL?

The obvious difference is in what they are designed for: SQL is a​ query language used for manipulating data stored in a database. T-SQL is also a query language, but it’s an extension of SQL that is primarily used in Microsoft SQL Server databases and software.