X64 DB Mirroring - Any Rules Of Thumb?

Aug 28, 2007



Hi All,

I'm looking to mirror 17 servers from geographically dispersed locations around the UK to one central location.

Is there any rule of thumb to take into account server spec, memory requirements, DB Size

E.G. an x64 server can be the mirror for 30 databases provided it has x GB Memory ?

Cheers,

Steve

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Index Fill Factor % Rules Of Thumb??

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Using MS SQL 2000.

Thanks!

--PhB

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-Young K

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Can the witness live in another instance of SQL on server B?

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I tried - did not turn out...

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When I try to add the predict column in a criteria/argument (Field=PredictSupport), i'll given message:

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Hi there,
it has been a long i'm trying to execute Microsoft Association Rules on my database.

I solved memory leak problem now, but i still can't understand output rules.

Database contain all the italian student who took a degree last year. Here in Italy, they have to compile a summary where they speak about universitary experience. ie: they talk about experience with teachers (pointage from 1 to 5); they says if they want to continue in the universitary field or not, and so on.

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Even if I know not to have perfect english, I hope to be understandable

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Feb 14, 2008


I understand Mr. MacLennan's explanation provided at http://forums.microsoft.com/MSDN/ShowPost.aspx?PostID=282651&SiteID=1 and appreciate the time he took to explain how importance works. However, like the user with username "sang", I also ran the data in BI 2005 and got the same results listed by the aforementioned user. I did this using the following data:







donut
muffin

y
y

y
y

y
y

y
y

y
y

y
y

y
y

y
y

y
y

y
y

y
y

y
y

y
y

y
y

y
y

n
y

n
y

n
y

n
y

n
y

etc.

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May 11, 2007

Hi All,



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Hi



I am doing the Market basket analysis for a retailer using association rule. The whole data set is huge which contains grocery, clothes and books etc. If I want to check out the relationship between several different clothes brands, (e.g. LEVI'S and adidas), should I just remove all the grocery and books transactions, use the subset which only contains clothes transactions to re-run the association rules? Is this gonna work?



Thanks in advance!

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Jun 20, 2007

Hi



I got a question about the data preparation of market basket analysis.



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Thanks in advance.



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Aug 15, 2006

Hello,

I want to score my data by only the assoziation rules I filtered in Mining-Model-Viewer.

Is this possible?

I recognized that MiningModel Predictionquery uses the generated Model (all rules).

Is there any way to influence the model at generating time.

Thanks a lot.

 

Hi,

I specified the point to solve my problem but I did not understand why MS SQL Server didn't recognize the Association parameters I but in. It uses the Minimum_Probability I put in, but the Minimum_Importance i wrote didn't care it, it use the default value.

I want to paste a screenshot here but it isn't possible. By the way I'm using the evaluation version, which should be same as the enterprise edition.

Hope for a soon answer.

Best Regard

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Hello everybody,

I am interested in mining association rules field

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Nov 22, 2007

I need to create a set of cases for a project that uses the Microsoft Association Rules algorithm to make recommendations for products to customers. My question is: the set of scenarios must include all transactions of customers for training?. or is it sufficient some percentage of total transactions? If i do not use all transactions of customers, could be that the algorithm does not consider some products in their groups or rules and could not make recommendations about these?

thanx
Diego B.

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I need to implement one logic similar to rule engine. Below is the example.how to execute all queries in second table order?? what is the best way to implements this

declare @tblRules AS Table (RuleNo INT, RuleDesc NVARCHAR(500), RuleQuery NVARCHAR(MAX), QueryExecutionInterval NVARCHAR(50))
declare @tblRuleResults AS Table (RuleResultID INT, RuleNo INT, ExecuteTime DateTime, NextExecutionTime DateTime, Result NVARCHAR(10))
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INSERT INTO @tblRules VALUES ('2','Fail- 2 times within 2 Hour','YYY','Every 30 Minutes')

[code]....

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I've set up an association rules mining model on SQL Server 2005.

Below is the output for the "rules" tab in the model viewer:

0.457 0.480925197502775 BAKERS BASKET = Existing -> FR ORANGE JUICE = Existing
0.423 0.467835626151174 ONE EGG = Existing -> FR ORANGE JUICE = Existing
0.416 0.42489020548496 GRANOLA PARFAIT = Existing -> FR ORANGE JUICE = Existing
0.416 0.344523279228151 CROISSANT = Existing -> REG CAPPUCCINO = Existing
0.430 0.338244068974039 PAIN AU CHOC = Existing -> REG CAPPUCCINO = Existing
0.424 0.332652863071932 FR ORANGE JUICE = Existing, REG LATTE = Existing -> REG CAPPUCCINO = Existing


The problem is that I can't seem to reduce the minimum probability below .42 to view more rules.

I've considered that it might be becuase these are the only rules discovered, however I know quite a bit about the data and I would excpect many more associations.

The data is transactional in the format

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Hello,



I'm new to analysis services and hopefully this is a quick & easy question. I have a couple of quite large (163,000 tuple) tables with columns essentially representing a bit vector. I would like to mine for association rules but the number of '1' values are very, very sparse and they are the only objects of interest. How can I get more control over the algorithm---that is, how can I stipulate that the state of the column must be '1' to be considered? Any help or direction to the proper documentation would be great.

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Hi!

I'm building a mining model wiht MS Association Rules. After processing this model, the result includes some rules(example):



E = Existing, C = Existing -> B = Existing
F = Existing -> E = Existing
C = Existing, B = Existing -> E = Existing
F = Existing -> B = Existing
B = Existing, A = Existing -> C = Existing
F = Existing, B = Existing -> E = Existing
F = Existing, E = Existing -> B = Existing
D = Existing -> A = Existing
C = Existing -> A = Existing
E = Existing, A = Existing -> B = Existing

I want to buid a query that has two or more items on the left of the rules, example: E = Existing, C = Existing -> B = Existing
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Jul 13, 2006

Hi

I read the paper of sequence clustering. It seems that the major application of the algorithm is for the web site. I was just thinking that can I apply this algorithm on the purchase sequences of credit card data?

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Thanks in advance.

To Wong

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Nov 23, 2007

Hello,

I would really appreciate if you could help me out. I am trying to create a taxonomy to be taken into account into the association rules algorithm. For example, if my data is a group of purchases from a supermarket I could have one client who bought milk, cookies and shampoo, and another who bough cheese, cookies and soap.

I would like to specify that milk and cheese belong to the category "dairy" and shampoo and soap belong to "personal hygene". If there are interesting rules regarding the categories I would like them to be taken into account. Additionally, I would not like to have rules like "milk -> dairy". If one specific object appers in a rule, its corresponding category should not.
In this scenario I could have milk and "personal hygene" in the same rule, but not shampoo and "personal hygene".

I have seen this done by other mining tools but I've been having trouble finding a way to make this possible in Analysis Services.

Thank you very much.

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