Redshift

How to Create a Materialized View in Redshift?

Many organizations are using Redshift as their data warehouse house and they are using Redshift for reporting or for dashboard queries. Imagine if applications query often must perform complex queries on large tables. For example, consider a reporting SELECT statement that performs multi-table joins and aggregations on tables that contain billions of records. You can address this issue using materialized views in Amazon Redshift. In this article, we will check how to create a materialized view in Amazon Redshift. Materialized View in Redshift What are Materialized Views in Redshift? A materialized…

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June 16, 2022
Netezza

Netezza Create View Syntax and Examples

You can use Netezza create view to create a virtual table based on the result-set of a complex SQL statement that may have multiple table joins. Just like views in other database a Netezza view contains rows and columns, just like a real table. The fields in a view are fields from one or more real tables in the database. Netezza Views are read-only. The system does not allow you an insert, update, or delete on a view. Read: Netezza Materialized Views and Examples IBM Netezza Create Tables Netezza Alter…

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November 10, 2016
Netezza

Netezza Cross Database Access and its Restrictions

Netezza cross database access does allows you to execute the objects such as tables, view, synonyms that are available on the same Netezza server. You can can INSERT, UPDATE or DELETE data from current database by referring objects in other database on same server. For example, TRAINING1.ADMIN(ADMIN)=>SELECT * FROM TRAINING1..TEST1; Read: Access Netezza Database, Tools and Examples Netezza nzsql Command and its Usage Netezza Synonym Best Practices and Examples Referencing Database Object from other Database To access objects in other databases on the same Netezza system, you must use three-level…

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September 28, 2016
Netezza

Working with Materialized Views in Netezza

When you create a materialized views from a base table, the Netezza system stores the view definition for the lifetime of the SPM view and is visible as a materialized view. SPM view data slices are co-located on the same data slices as the corresponding base table data slices hence increases the performance of the query. A materialized views reduces the width of number of columns being scanned in a base table, these type of view contains a small subset of frequently queried columns. When you query the table (table with large number of…

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August 7, 2016