Netezza Database Schema: CREATE, ALTER, DROP and SET SCHEMA

In the previous version, the Netezza system supported one default schema per database. You can configure multiple schema within database in latest release. In this article, we will check on Netezza database schema and how to create, alter, drop and set schema for Netezza database. In the latest release, Netezza system can validate the schema information i.e. you can configure the system to return an error for any queries that specify an invalid or non-existent schema, or you can configure the system to return a warning message for queries that…

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Netezza and Teradata Comparison – Netezza vs Teradata

Both Netezza and Teradata are MPP (massively parallel processing) data warehouse appliance with shared nothing architecture where each processing unit is self contained with CPU, memory, and storage. The database gets subdivided across these processing units. In this article is all about Netezza and Teradata comparison – Netezza vs Teradata. The comparison Between Netezza and Teradata gives you little bit Architectural difference and SQL differences. Netezza and Teradata Comparison – Netezza vs Teradata Below are the some of the Netezza and Teradata comparison: Materialized view Both data warehouse appliance supports…

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Netezza Default Port Numbers and Corresponding Environment Variables

IBM Netezza uses ports for nzsql CLI commands, JDBC, ODBC connections and nzadmin tool. The IBM Netezza system uses the following port numbers or environmental variables for the CLI commands and the NzAdmin tool. In this article, we will check Netezza default port numbers and corresponding environment variables. Netezza Default Port Numbers and Corresponding Environment Variables The following table lists the default ports and corresponding environment variables: Port # Environment Variables Description 5480 NZ_DBMS_PORT The postgres port for the nzsql command, NzAdmin ODBC, and JDBC. 5481 NZ_CLIENT_MGR_PORT The port for…

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Change Netezza User Query Priority – Syntax and Examples

The IBM Netezza system has four user priority levels for session query and execution. Other two more priorities are for system resources. In this article, we will check on how to change Netezza user query priority with syntax and examples. Netezza Priority Levels Below table describe the Netezza user priority levels: Name Description Critical Highest priority user High Priority user job. The high priority jobs takes precedence’s over normal jobs Normal Default priority level for all jobs Low Lowest priority user jobs Change Priority of Jobs in a Session You…

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Optimize Netezza Table Structure to Improve Performance

Optimizing the Netezza table is very important aspect to speed up your data loading and unloading process. In this article, we will check out some tricks to optimize Netezza table structure to improve performance. There are no specific set of rules to optimize Netezza table structure. But here I have listed some of methods that I use while designing table for better performance. Read: Change Netezza User Query Priority – Syntax and Examples Netezza Create Table and Syntax Optimize Netezza Table Structure Typically, when you create the aggregate table or…

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Hadoop and Netezza Comparison – Netezza vs Hadoop

Hadoop and Netezza are basically used with the Bigdata i.e. huge volume of the data. Netezza is used for analytics purpose i.e. OLAP application and Hadoop is used in batch processing. In this article, we will check Hadoop and Netezza Comparison - Netezza vs Hadoop. These two systems have their own advantages and disadvantages. We will try to compare the features and difference between Hadoop and Netezza. Read: Netezza and Redshift Comparison - Netezza vs Redshift Hadoop Features Following are some of the feature on Hadoop ecosystem: In the Hadoop ecosystem…

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Netezza EXPLAIN command and its Usage

Netezza uses a cost-based optimizer to determine the best method for scan and join operations, join order, and data movement between SPUs, that is, redistribute or broadcast operations. You can use the Netezza EXPLAIN command to display the actual execution plan that Netezza generates and uses while executing any query in the system. Netezza Optimizer Netezza uses the cost based optimizer to determine the best methods for the query to be executed in the Netezza system. Optimizer uses the statistics to determine the optimal and best execution plan for Netezza…

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Netezza and Redshift Comparison – Netezza vs Redshift

If you are performing PoC to choose between the Netezza and Redshift, then the common question arises which one is better compared to other. In this article, we will check Netezza and Redshift Comparison - Netezza vs Redshift.  These two data warehouse appliances have their own advantages and disadvantages. We will try to compare the features and difference between Netezza and Redshift. Read: Hadoop and Netezza Comparison - Netezza vs Hadoop Netezza Data Warehouse Appliance Features Read: Netezza TwinFin Architecture Following are some of the feature on Netezza data warehouse appliance:…

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Commonly used Redshift Date Functions and Examples

Redshift is a data warehousing solution provided by Amazon Web Services (AWS). It supports a variety of date and time functions that can be used to perform operations on date and time data stored in Redshift tables. This article is about detailed descriptions and examples of the commonly used Amazon Redshift date functions that you can use to manipulate date data types in Resdshift SQL. 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…

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Netezza Recover Deleted Rows

Netezza data warehouse appliance does soft delete until the groom process is performed. Netezza logically deletes the rows by flagging deletexid. The data will be there in the system and you can recover the same whenever you accidentally delete the rows from the table. In this article, We will check how to perform Netezza recover deleted rows. Netezza Recover Deleted Rows Every table has the system columns such as createxid, deletexid and rowid. You can check the column by querying these columns from the table. Whenever you delete the record…

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