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If your query build a large set of results and takes a long time to run (an hour or more), try using local external tables. Based on what tool you are using: JDBC SQL tool such as Squirrel or a ODBC tool such as Aginity CREATE EXTERNAL TABLE ‘C:\\Users\\MyUser\\Account dim dump.csv’ USING ( DELIMITER ‘,’… Continue reading Local External Tables Netezza
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Note: TRUNCATING TABLE cannot be UNDONE Note: Netezza “soft” deletes until the groom process runs. i.e. deleted data is really still there. Note: Netezza Updates are just soft deletes and inserts. So, they can be recovered too Every insert, update, or delete transaction is assigned a sequential transaction id or xid. To indicate which transaction… Continue reading Netezza CREATEXID DELETEXID
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IBM has announced the end-of-support (EOS or End-of-life) dates for three generations of Netezza / IBM PureData analytics appliances
Netezza Skimmer, Twinfin, Striper models have already passed their EOS date before the mid of 2020. Mako models will reach end of support by October 2023.
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In IBM PureData System for Analytics, each disk is roughly equally divided into 3 partitions:1. The first partition holds the primary copy of one dataslice2. The second partition holds a mirror copy of a dataslice from a different disk.3. The temp partition is used to store data that is generated during query execution. Temporary tables,… Continue reading Netezza Temporary Table Space
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Netezza vs Tradistional RDBMS Logical Model is enough to create a Table No Indexes, tuning, rebuilding of indexes or space for the indexes No Physical tuning Distribute data by columns or by RANDOM No Storage Adiminstration (No tablespace or dbspace allocation) No page/block sizing configuration No Software installation needed No need for a large team… Continue reading Netezza needs less Administration
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Primary Tier Netezza’s AMPP architecture is a two-tiered system designed to handle very large queries from multiple users. The first tier is a high-performance Linux SMP host. A second host is available for fully redundant, dual-host configurations. The host compiles queries received from applications, and generates query execution plans. It then divides a query into… Continue reading Netezza AMPP Architecture
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Netezza Explain Plan As with most database management systems, Netezza generates a query plan for all queries executed in the system. The question plan determines ideal execution path by Netezza to fulfill each query. The Netezza component which generates and determines the optimal query path from the available alternatives is called the query optimizer and… Continue reading Netezza Query Plan Analysis
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The primary partition in each disk is used to store user data like database tables, the mirror stores a copy of the primary partition of another disk so that it can be used in the event of disk failures and the temp/swap partition is used to store the data temporarily like when the appliance does… Continue reading Netezza storage
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Two levels of security: OS Level security Database Level security OS Level security Netezza host uses Linux operating system customized for performance and functionality required for the appliance. User access restrictions are setup using user ids, user groups and passwords. When installed, the appliance is configured with a “root” user id which is the Linux… Continue reading Netezza Security
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Netezza Twinfin is the advanced analytics and warehousing solution provided by IBM. It currently has been rebranded as IBM Puredata for analytics (PDA). It was an offering from a company known as Netezza launched in 1999 and then got acquired by IBM in the year 2010. Ever since it has been developed as a subsidiary… Continue reading What is Netezza
