You need to export the data and for that purpose, you decide to define an external table.
Choose the formats from the below-given options that can be used for the external tables in export scenarios? (Choose all that all applicable)
Click on the arrows to vote for the correct answer
A. B. C. D. E. F. G.Correct Answers: A, D, F and G
Utilizing external table in export scenarios is limited only to the four formats: CSV, JSON ,TSV, and Parquet.
Option A is correct.
CSV is one of the 4 formats that is valid for the export tables in export scenarios.
Option B is incorrect.
XML is not a valid format.
Option C is incorrect.
ORC is not a valid format.
Option D is correct.
TSV is a valid format for the export tables in export scenarios.
Option E is incorrect.
Delimited is not a valid format.
Option F is correct.
JSON is a valid format for the export tables in export scenarios.
Option G is correct.
Parquet is a valid format for the export tables in export scenarios.
Option H is incorrect.
Avro is not a valid format.
To know more about the external tables, please visit the below-given link:
Sure, I can explain the formats that can be used for external tables in export scenarios.
External tables in Azure are tables that reference data stored outside of the database in Azure. These tables can be used to access data stored in formats that are not natively supported by Azure or to access data stored in other Azure services. When exporting data, external tables can be used to write data from a table or view to a file in a specific format.
The following formats can be used for external tables in export scenarios:
A. CSV: Comma Separated Values (CSV) is a file format used to store data in a tabular form, with each row representing a record and each column representing a field. CSV is a popular format for exporting and importing data between different applications and databases.
B. XML: Extensible Markup Language (XML) is a file format used to store data in a structured format. XML can be used to store any kind of data and is widely used for exchanging data between different systems.
C. ORC: Optimized Row Columnar (ORC) is a file format used to store large datasets in a columnar format. ORC is optimized for reading and writing large datasets efficiently and is commonly used for big data processing.
D. TSV: Tab Separated Values (TSV) is a file format used to store data in a tabular form, with each row representing a record and each column separated by a tab character.
E. Delimited: Delimited is a file format used to store data in a tabular form, with each row representing a record and each column separated by a delimiter character. The delimiter character can be any character, such as a comma or a pipe character.
F. JSON: JavaScript Object Notation (JSON) is a file format used to store data in a structured format. JSON is widely used for exchanging data between different systems and is commonly used in web applications.
G. Parquet: Parquet is a file format used to store large datasets in a columnar format. Parquet is optimized for reading and writing large datasets efficiently and is commonly used for big data processing.
H. AVRO: Avro is a file format used to store data in a structured format. Avro is optimized for efficient data serialization and is commonly used in big data processing.
In summary, CSV, XML, ORC, TSV, delimited, JSON, Parquet, and AVRO are all formats that can be used for external tables in export scenarios. The choice of format depends on the specific requirements of the use case, such as data size, performance, and compatibility with other systems.