Redshift

Redshift Install SSL Certificate in Local Windows System

Redshift SSL Certificates are small data files that digitally bind a cryptographic key to redshift cluster connection details. In this article, we will discuss on Redshift install SSL certificate in local system. Redshift SSL Certificate You have to login to AWS console to download the .pem file. To support SSL connections, Amazon Redshift creates and installs a self-signed SSL certificate on each cluster. To login to cluster, you should have an account created with Amazon AWS cloud. You can obtain the account by yourself or use the corporate account. The public…

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March 9, 2017
Netezza

Netezza Storing Large data files to Local Systems

If you are working as a data analyst or business analyst then you may have to download the files to your local for analysis purpose. In this article, we will discuss on Netezza storing large data files to local systems. If you have installed different Netezza SQL tools then it is very easy to store the large set of results to local system. Netezza Storing Large data files to Local Systems- Methods There are multiple methods that you can follow in Netezza Storing Large data files to Local Systems Windows…

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March 6, 2017
Redshift

Resolution: Amazon Redshift Drop and Truncate Table Running Slow

Sometimes Amazon Redshift takes hours together to just drop or truncate the tables even if table has very limited rows. In this article, I have put together the steps I usually follow when Amazon Redshift Drop and Truncate Table Running Slow. Amazon has a very fast I/O; it should not take more than second to drop or truncate the tables for any cluster type that you are using. This issue is because there might be more connections with open transactions. Follow below steps: Check for DB locks You can check…

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March 4, 2017
Netezza

Netezza Integer Value Check

If you are working on the different data sources and trying to load data to Netezza from multiple sources than you might encounter issues such as characters in integer column and that leads the loading to fail. Hence, it is very important to perform Netezza integer value check when you are not sure about source data types. Why should check for bad Records? If you are working on the data warehouse and multiple sources, sometimes you load in data sourcing from character data into a numeric or integer field in…

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March 4, 2017
Netezza

Netezza Mako Features – Latest Netezza powered DWH Appliance

IBM Netezza Mako server is latest addition to the IBM PureData System for Analytics system powered by Netezza technology. Netezza Mako features includes Fast, Scalable, Smart, Simple and completely integrated data warehouse appliances. Netezza Mako Features - Latest Netezza powered DWH Appliance IBM PureData System for Analytics system powered by Netezza technology is designed for running complex analytics solutions on very large data volumes of data sets with faster execution times compared to its entire predecessor. Check out: Key Features of Netezza Appliances Netezza Striper Architecture: N2001 Technical Specification Netezza…

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March 2, 2017
Netezza

Netezza Mako Architecture: N3001 Technical Specification

IBM PureData System for Analytics N3001 or Netezza Mako Architecture is the next generation of the PureDataTM System for Analytics family of appliances that is powered by Netezza technology. The Netezza Mako architecture integrates database, server (High available RH Linux Servers), storage (disks), and advanced analytic capabilities into a single, easy-to-manage system. The N3001 series servers includes hardware with an accelerated massively parallel-processing design that is specifically optimized for running complex analytics on large data volumes at very high speeds. The Netezza Mako server includes the design that is specifically…

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February 21, 2017
Netezza

Netezza Striper Architecture: N2001 Technical Specification

IBM PureData System for Analytics N2001 or Netezza Striper is a purpose-built, standards-based data warehouse and analytic appliance. The Netezza striper architecture integrates database, server (High available RH Linux Servers), storage (disks), and advanced analytic capabilities into a single, easy-to-manage system. The Netezza Striper includes the design that is specifically designed for running complex analytics on large volumes of data sets (petabytes of data) at high speed. Netezza Striper Architecture The IBM PureData System for Analytics N2001 series data warehouse appliances increases the storage capacity and performance of the Netezza TwinFin models. Within…

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February 21, 2017
Netezza

Netezza User rowset Limit: Limiting Query Result set

If you execute the query which returns a large result set, then system may crash or may not respond properly. You can set the Netezza user rowset limit during query run. You can set a limit on the number of rows a query can return and thus restrict resources for large result sets. Read: How Netezza Update Records in Table? IBM Netezza Update Join Netezza Pivot  Rows to Column with Example Netezza nzsql Command and its Usage Create Table Command and its Usage Netezza Alter Table Command and its Usage…

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February 16, 2017
Netezza

Netezza Delete Join Syntax – Deleting Referring other Table

Every application requires the data, data storage is very much important. In the digital world, we use databases (in-fact tables) to store information. Data is collected over the time and it may or may not be accurate. In some cases, you may want to delete data from the table based on the data available in other table over same or other database on same Netezza server. You cannot access the table stored on other Netezza server. In this article, we have explained the Netezza delete join syntax and example on…

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February 16, 2017
Netezza

Netezza Planners: Different types of Planners

Netezza planners are very important to improve the performance of the query that you fire onto Netezza performance server. Types of Netezza Planners There are different types planners that Netezza performance server uses: The Fact Relationship (factrel) planner Snowflake planner The Star planner The Fact Relationship (factrel) planner The Fact Relation Planner is a feature used to prevent large table re-distribution i.e. costly re-distribution or broadcasting of fact data when other alternatives may exist. Read: Data warehouse Star schema and Design Analyze and Optimize Netezza Query Performance Netezza Best Performance…

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February 14, 2017