Choosing the right data type
- Last Updated: October 7, 2020
- 1 minute read
- DataDirect Connectors
- ODBC
- Aha! 8.0
- Amazon Redshift 8.0
- Apache Cassandra 8.0
- Apache Hive 8.0
- Apache Spark SQL 8.0
- Autonomous Rest Connector 8.0
- Cloudera Impala 7.1
- dBase 7.1
- + 24
Retrieving and sending certain data types can be expensive. When you are working with data on a large scale, select the data type that can be processed most efficiently. For example, integer data is processed faster than floating-point data. Floating-point data is defined according to internal database-specific formats, usually in a compressed format. The data must be decompressed and converted into a different format so that it can be processed by the wire protocol.