Netezza Best Practices to Improve Performance

Today there is a increased demand in advanced analytics on big data. Netezza is designed with built in functionalities to perform advanced analytics on really big data sets. To improve the performance, you should follow some Netezza best practices. Best practice should not mean hundreds of rules and regulations to follow. Recommended that basic principles are followed on following features of Netezza: Distribution Data types Statistics Zone maps Clustered base tables Groom table command Netezza Best Practices on Distributions In a Netezza data warehouse appliance good distribution is fundamental element…

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Netezza Date Format and Conversions

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: DATE = for year, month, day storage. TIME = for hour, minute, second, fraction with (includes 6 decimal positions). TIME WITH TIME ZONE / TIMETZ = same as TIME, also includes time zone information. TIMESTAMP = for year, month, day, hour, minute, second, fraction ( includes 6 decimal positions). Netezza Date Format Conversion Netezza can convert quoted date strings values…

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List of Netezza Data Types and Best Practices

Data type is an attribute that specifies type of data of any object. Each column, variable and expression has related data type in SQL. However, different database offers the different data types for columns. Netezza data types are almost similar to what the traditional RDBMS supports. When you issue Netezza create table command each column in a database tables has to have name and a data type associated with it. The data type is based on the types of data which are stored inside the each column of the table.…

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