Details about Netezza

Netezza External Table and Examples

A Netezza external table allows you to access the external file as a database table, you can join the external table with other database table to get required information or perform the complex transformations. External table script can be used to access the files that are stores on the host or on client machine. If the files are stored on the client machine, Netezza uses REMOTESOURCE option to access those files. Netezza External Table Syntax Below are the various syntax types that you can use to create external table in…

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Commonly used Netezza Utilities

It is very easy to perform the ETL (Extract, Transform and Load) functionalities in Netezza. Netezza supports utilities those can be used to perform the ETL/ELT operations. Below are some of commonly used Netezza utilities: Read: Commonly used Netezza Basic Commands nzload utility nzload is bulk data load utility available in Netezza. This utility supports loading data from flat file to Netezza database tables. Below is the syntax and usage: Usage: nzload -host <host> -db <database> -u <username> -pw <password> -t <target_table_name > -df /user/home/flat_file.txt by default, nzload supports '|'…

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Netezza System Tables and Views

There are lot of Netezza system tables and views views available. You can get the more information about the users, tables, synonyms etc. Read: Netezza data types and length restrictions Netezza Query History details using nz_query_history Table Netezza System Tables and Views Below are the list of some commonly used system tables and views: View Table Description _v_sys_columns Return a list of all columns of table available in database. This is very important system view that can be used to search columns. _v_aggregate _t_aggregate Returns a list of all defined…

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How to Resolve Netezza SPU Swap Partition Error

You might have seen Netezza SPU swap partition error when you are performing some complex transformation that may have included many large table with many complex join. This error does not mean that we have a space issue on any of our Netezza data slices or disks.We get his error when maximum available temporary work space is full. This temporary work space is used by all the temporary tables, sorting, aggregations, joining, implicit data skew (data distribution at run-time) etc. This issue may also occur if the query have cross…

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Big Data Appliance Netezza Key Features

Netezza is an embedded and advanced analytics database. Netezza key features includes predict with more accuracy, deliver the predictions faster and respond rapidly to the any changes. IBM Netezza Analytics advanced technology supports data warehousing and in-database analytics into a scalable, high-performance, massively parallel advanced analytic platform that is designed to work with petascale data volumes. Below are the some of the Netezza Key features: Netezza bigdata appliance supports both, Business Intelligence and in-database advanced analytics. Lightning fast performance - scalable (10-100x) performance at petascale. Very Efficient even if being used…

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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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Netezza Date Functions and Examples

This article is about detailed descriptions and examples of the standard Netezza date functions that you can use to manipulate date columns in the Netezza SQL and Netezza stored procedure. In the real word scenarios many application manipulate the date and time data types. Date types are highly formatted and very complicated. Each date value contains the century, year, month, day, hour, minute, and second. Each RDBMS may employ different date functions, and there may also be differences in the syntax for each RDBMS even when the function call is the…

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Netezza Analytic Functions

Netezza analytic functions compute an aggregate value that is based on a group of rows. A Netezza SQL analytic function works on the group of rows and ignores the NULL in the dat.  Netezza server is basically an analytics system and provides many useful functions that can perform day to day aggregations. As these functions are native to Netezza server, hence use of these Netezza analytic functions improves performance of SQL queries as well as server performance. Frequently used Netezza analytical functions are as follows: COUNT Analytic Function Returns the number of…

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Collocated Joins in Netezza: Optimizing Query Performance

In Netezza, if two tables are distributed on same column then such tables are called collocated tables. If you join two collocated tables than each SPU in system works 100% independent to each other as the relevant rows required for joining these tables exist in the same SPU. These types of joins are called collocated joins. Collocated Joins Example Let’s take an examples, assume that we have two tables a patient and hospital, both are distributed on patient id. Netezza distributes the rows with same distribution key (column) to same…

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Netezza Joins and it’s Algorithms

Netezza joins combines the columns of the reports from the more than one table. SQL JOIN clause is used to combine rows from two or more tables, based on a common field between them. The best way to understand the Netezza joins is to get to know the SQL joins and then consider the algorithm that is used by database to resolve them. Read: Netezza nzsql Command and its Usage Netezza Generate Statistics: A Guide and Best Practices Commonly used Netezza Utilities Netezza Joins: Equi Join An equijoin is a join…

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