Date data types are used to store the date and time fraction values. Netezza Date format includes four data types, and are used to store the date with time details:…
Netezza String Functions are used primarily for string manipulation. An IBM Netezza also supports some of the standard string function along with the PostgreSQL specific functions. Netezza String Function Usage Below…
Netezza extract function extracts the sub field represented by units from the date/time value, interval, or duration specified for column. This function is equivalent to Netezza date_part() function. Netezza Extract Function Syntax extract(units FROM col)…
Netezza type casting is converting the value with one data type to other. There are two type of type casting: Implicit and Explicit type casting. Implicit Netezza Type Casting In…
Extraction is the first step of the ETL(Extract, Transform and Load) process. Once the data is extracted, you can transform it and load to target data warehouse. Extraction is the…
You can use Netezza hash function to encode the data by transforming the input into a hash code or hash values. If you use the hash function, no two inputs…
Netezza Correlated subquery is a query within a query that refer the columns from the parent or outer query. Netezza does support the regular and correlated subqueries. In most cases,…
This section describes you about downloading, configuring and testing Netezza Linux ODBC driver. This process is tested on the Ubuntu 14.04. Netezza Linux ODBC Drivers are requires to connect to Netezza…