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IBM InfoSphere Information Server Enterprise Edition for Netezza 1000 - lic

Mfg. Part: D0P1SLL-EDU | CDW Part: 2975487 | UNSPSC: 43232307
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  • License + 1 Year Software Subscription and Support
  • 1 managed server
  • Passport Advantage Express
  • Linux
  • Win
  • AIX
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Product Overview
Main Features
  • License + 1 Year Software Subscription and Support
  • 1 managed server
  • Passport Advantage Express
  • Linux
  • Win
  • AIX
  • HP-UX
  • Solaris SPARC
IBM InfoSphere Information Server is a market-leading data integration platform that helps you understand, cleanse, transform and deliver trusted information to your critical business initiatives.

InfoSphere Information Server Enterprise Edition provides comprehensive information integration capabilities to support trusted and governed information. It's end-to-end information integration capabilities help you understand and govern data, create and maintain data quality, and transform and deliver data.

Technical Specifications
Specifications are provided by the manufacturer. Refer to the manufacturer for an explanation of the print speed and other ratings.
System Requirements
Platform: AIX , HP-UX , Linux , Solaris SPARC , Windows

Software
Bundled Support: 1 Year Software Subscription and Support
License Category: License
License Qty: 1 managed server
License Type: License
Licensing Program: Passport Advantage Express

Service
Support Details Full Contract Period: 1 year

Header
Brand: IBM
Compatibility: PC , Unix
Manufacturer: IBM
Model: Information Server Enterprise Edition for Netezza 1000
Packaged Quantity: 1
Product Line: IBM InfoSphere

Service & Support
Type: New releases update

Service & Support Details
Service Type: New releases update



Response Time: 2 hours
Service Availability (Hours a Day): Business hours
Service Type: Phone consulting



Service Availability (Days a Week): Monday-Sunday
Service Availability (Hours a Day): 24 hours a day
Service Type: Emergency phone consulting



Service Type: Web knowledge base access



Service Type: E-mail consulting

General
Category: Business applications
Subcategory: Business - data analysis & business intelligence

Licensing
License Pricing: Volume

Product Reviews
Rated 4 out of 5 by 4reviewers.
Rated 4 out of 5 by It has allowed us to get reports that were previously unavailable, but the in-house development tool needs work. Valuable Features:There is minimal on-going maintenance.Improvements to My Organization:There were some reports we couldn't get because of performance, but with Netezza we could get more of them.Room for Improvement:It needs a better in-house development tool.Use of Solution:I've used it for three years.Deployment Issues:Functions are difficult to deploy.Stability Issues:No issues encountered.Scalability Issues:No issues encountered.Customer Service:7/10.Technical Support:7/10.Previous Solutions:Our customers mostly switch from traditional RDMs to appliances.Initial Setup:It is very easy to setup.Implementation Team:We used an in-house vendor who were 8/10.Cost and Licensing Advice:Choose your most complex scenario. Do a POC and try to scale.Other Advice:You should know how it works well so you can use its power. So, start with a partner or vendor team.Disclaimer: My company has a business relationship with this vendor other than being a customer:Premium Business partner September 25, 2016
Rated 4 out of 5 by It has allowed us to get reports that were previously unavailable, but the in-house development tool needs work. Valuable Features:There is minimal on-going maintenanceImprovements to My Organization:There were some reports we couldn't get because of performance, but with Netezza we could get more of them.Room for Improvement:It needs a better in-house development tool.Use of Solution:I've used it for three years.Deployment Issues:Functions are difficult to deploy.Stability Issues:No issues encountered.Scalability Issues:No issues encountered.Customer Service:7/10.Technical Support:7/10.Previous Solutions:Our customers mostly switch from traditional RDMs to appliances.Initial Setup:It is very easy to setup.Implementation Team:We used an in-house vendor who were 8/10.Cost and Licensing Advice:Choose your most complex scenario. Do a POC and try to scale.Other Advice:You should know how it works well so you can use its power. So, start with a partner or vendor team.Disclaimer: My company has a business relationship with this vendor other than being a customer:Premium Business partner April 25, 2016
Rated 4 out of 5 by ARULES() function is the fastest implementation of the associations algorithm (a priori or tree) I have worked with. Valuable Features:ARULES() function is the fastest implementation of the associations algorithm (a priori or tree) I have worked with. In comparison with the R associations package, it is +1000x faster. The issue with the R implementation, and R in general, is that the functions do not work on large sets of data. R would generate a 100,000 x 100,000 element matrix for some of the arules runs we do – very, very inefficient programming.Improvements to My Organization:Any in db machine, learning functions help by eliminating the data transport issue. NZA goes one better by allowing you to utilize a tuned engine (software + hardware) to run the functions. The result is that we can run algorithms that would be impossible to run on other platforms.Room for Improvement:We are using an older version. Some improvements are already implemented, such as the addition of neural networks. Other improvement would be to make the existing algorithms even faster, e.g. kmeans can actually be parallelized. If this reworking of the algorithm is done, it should leverage the MPP architecture of Netzza and run much faster.Also, some algorithms are faster than almost any other method or system e.g. NZA.ARULES() function. Whereas others are not as fast and could probably be optimized for an MPP architecture like kmeans function.Use of Solution:2-3 years on and off. 1 year for actual integration into another tool for mass consumption.Deployment Issues:For deployment, ensure you follow the instructions. The version of Netezza must be matched with the version of NZA. We tried to install a newer version of NZA not supported by the version of Netezza we had and it did not work.Technical Support:N/A. We did not engage IBM tech support, mainly due to past experiences where it is faster, easier and much less stressful to just figure things out yourself.Previous Solutions:Rapidminer, R, DB2 intelligent miner, SSAS data mining were all tested for association rules. Rapidminer and R did not pass. They use matrix math, and cause +100x performance degradations. DB2 intelligent miner, SSAS data mining, and likely also NZA follows the original a prori methods of using sets, not matrices.Initial Setup:DBA set it up, but it seemed very simple. I helped with designing the overall architecture. If you stick with NZA as a “function repository DB” concept and do not put data on it (as recommended in the install manual) you will be ok.Implementation Team:In-house. Don’t over think it. Just apply some base architectural principals and give it a try. If you find something not working make adjustments.Cost and Licensing Advice:I had nNo visibility to pricing. Netezza in general though, is very cost effective. If you compare to other MPP platforms like Hadoop. Hadoop requires a very “non-enterprise” culture to implement and a team of designers / engineers. Netezza requires maybe 1-2 admins.Other Advice:I would have to understand the specifics of the organization, the data size, the tasks, etc. to make any recommendations.Disclaimer: I am a real user, and this review is based on my own experience and opinions. January 17, 2016
Rated 4 out of 5 by RDBMS appliance scalable upto PetaBytes Valuable Features:Its query performance and speed.Improvements to My Organization:Earlier there was high latency to query extraction but Netezza has improved the speed for all OLAP operations. This has helped the organization to get the business answers right on time.Room for Improvement:* Matching up with big data.* Netezza has been built only for OLAP and structured data, and I think IBM must do something to match it to Hadoop scalability.Use of Solution:I've used it for four years.Deployment Issues:There’s only been one, where data slices were corrupted soon after the deployment but IBM has fixed it in a perfect manner.Stability Issues:No issues encountered.Scalability Issues:We didn’t have many scalability issues, except when it touches the PB storage data and we need to move it to external storage. Netezzas’ highest model storage capacity is 1.2 PB.Customer Service:Great, 8/10.Technical Support:Great, 8/10.Previous Solutions:We have previously used Microsoft SQL server, but we switched because our business wants fast and reliable appliance like Netezza. Although MS SQL server is reliable but Netezza is known for it's MPP and performance when compared to other RDBMS appliances.Initial Setup:Straightforward.Implementation Team:An IBM team deployed it for us, and they were 9/10.ROI:Business questions are answered much quicker than what we use to do it earlier.Cost and Licensing Advice:The Netezza appliance is bit costly for a mid-sized organization but highly effective on the performance side and for structured data.Other Solutions Considered:We also looked at Oracle and SQL Server.Other Advice:I don’t want to be biased but it all depends on the business requirement because there are many models for it, which range from 7.8 TB to 1.2 PB (uncompressed). If the business has done a feasibility check on Netezza for their scalability plus the growth and they found it to be within their estimates then I would suggest that they have taken off from the right runway.Disclaimer: I am a real user, and this review is based on my own experience and opinions. December 8, 2015
  • 2016-10-30 T09:22:08.803-05:00
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