I am planning to implement the security in my cube..
Total sales is 1000..
Customer Sales
A 100
B 200
C 300
D 400
Total Sales 1000
When i want to give access to the customer A, he can capabule of viewing only A value 100... But the problem is A is able to see total sales 1000.. How can i restrict the sales a value to 100 in the cube.. Where i have to set the property to fix this issue.....
I have a cube that we are processing nightly via an Analysis Service Processing Task in SSIS. In order to increase the performance of the processing time, we elected to use a lot of rigid dimension attributes, and do a full process of everything in the SSIS task. The issue that I am having is that after that task completes, I need to go into Visual Studio to deploy the cube becuase we are unable to browse or use the cube. This issue seemed to start once we changed the SSIS Analysis Service Processing Task to do a full process on the dimensions, rather than an incremental.
I would expect that once development is done, and it is processed and deployed, that is it. My thinking is that the SSIS task should just update the already deployed cube,
e.g. when the <UserID1> clicks on the "home" link show only "Client" folder and when <UserID1> clicks on the "Client" folder only "ClientReportA" will show.
Here is the accessable map for each user:
<UserID1> Client
ClientReportA
<UserID2> Client
ClientReportB Company
CompanyReportA CompanyReportB
Question: What is the best way to implement CheckAccess? At first I thought I can access the item names and I can test authorization through that, but AceCollection contains operation permission of the accessing object.
I was talking to my boss to day and our report request are not very consistant. We always having someone coming back to change something in our report. We were thinking of useing something called the Cube Analysis. Then it give our employees the raw data for them to run any standard query for themself. We have folks that want a report one way, but then they changed their minds and we are creating yet another report 4 or 5 times. what are your thoughts about this type of database?
I'm making my first attempt at creating a cube using Analysis Services based on my exisiting datamart. Datasource, views, and dimensions have been defined. But comes deploying the cube, it's giving the error saying "A connection cannot be made. Ensure that the server is running." The Deploy Target server and database are the same where my datamart is. Or, maybe I don't know what I'm doing.
Would appreciate any suggestion for my enlightenment. Thanks
I have a (hopefully typical) problem when it comes to cube design. Westore millions of product records every year, broken down bymonth/quarter. Each product can be assigned to various heirarchialclassification groups etc. The data in an OLTP DB occupies roughly100G for a typical year.We're looking at breaking this out into OLAP to provide faster accessto the data in various configurations and groupings. This is not aproblem, as this is the intended use for Analysis Services.The problem is that we apply projection factors on the product pricesand quantities. This would be ok if it only happened once, however,this happens every quarter (don't ask why). The projection factorschange 4 times a year, and they affect all historical product records.This presents a challenge because to aggregate the data into a usefulconfiguration in the cubes, you throw out the detail data, but thismeans throwing out the price and quantities which are needed to applythe projection.So if you have Product A at $10 and Product B at $20, and roll both upinto Category X, you'll have $30, but you'll lose the ability to applya projection factor of .5 to Product A and .78 to Product B. They'rerolled up.I don't want to regenerate the cubes every 3 months. That's absurd.But we can't live without the ability of projection theprices/quantities on a product level (detail level). So how can thisbe achieved when the other cubes are created at a higher level withless details and sums of the detail data?My initial guess is that we have to update the product data, and thenreaggregate all the other data that is built upon that product data.Is there any other way to apply math to the data on the way out?Thanks in advance!Regards,Zach
how can use this mdx script in the calculation part of a cube, will i simply dump it in the script form by starting with the 'create member current cube.
[measures].[test]' select [measures].[abc] on 0, [xyz].[xyz].(&0):[xyz].[xyz].(&60) on 1 from ( select (tail([month].[month].[month].members,6))on 0 from [cube])
The data attached below is from a Fact table. When this data is browsed in the Cube the end user is only interested in value of Measure 1 when it is not equal to zero. Measure 1 is a base measure .how to suppress the value 0 for Measure 1 in the Cube.
I know where the data files are etc, but what is the physical structure of a cube like on disk?
Logically we see the data as a star. Is the physical file akin to a star also? Or is a single file a measure group containing all the required member and measure data - thereby eliminating the need for physical join operators.
Is it correct to say that for each cube you can have only one Fact Table? I am having a funny dispute just now.
According my experience I never built cubes with more than one fact table, if I want take data from more than one table I write a view and I use it as Fact table...but a cube with two or three fact tables? Never tried..
i am currently trying to build a distinct count on my cube (mssql2005 analysis services).But after i added the discount count on the field i want to and start the processing, the following errors appear.Errors in the OLAP storage engine: The sort order specified for distinct count records is incorrect.
I have a cube. Its xml is different at some point than its design view. Suppose for some dimension and its attributes, source table is different than what it showing in the properties window for them..
Is this possible? How to read cube xml because there are repeating tags in it. There are two type if dimension tags.. one has only attributed and other has all properties.
Is it possible to have more than one cube under one SSAS database? For example I have a database "Test" and in this the cube exist is "TestCube", is iit possible to deploy another cube "TestCube2" under the Test databse?
If yes then what is the process to do that, the reason I am asing is there are some common dimensions used n both the cubes and I am not sure what is the best way so that I can use the shared dimension?
How can we select translated text of cube translations, like measures, dimensions, dimension attributes. I have below query which return translations of dimension attribute's memebers
WITH MEMBER Measures.CategoryCaption AS Product.Category.CurrentMember.MEMBER_CAPTION MEMBER Measures.SpanishCategoryCaption AS Product.Category.CurrentMember.Properties("LCID3082") MEMBER Measures.FrenchCategoryCaption AS Product.Category.CurrentMember.Properties("LCID1036") SELECT { Measures.CategoryCaption, Measures.SpanishCategoryCaption, Measures.FrenchCategoryCaption } ON 0 ,[Product].[Category].MEMBERS ON 1 FROM [Adventure Works]
I am getting translations of product category members but I want to get translated text of "Category"?
If there are any AS gurus out there, I could use some help. I've been having some problems with particular AS dimension and cubes and it's driving me crazy! It doesn't matter what I do, nothing seems to work.
Anyway, here's what I'm trying to do. I've got a fairly simple dimension. There is a date stored in the dimension that is formatted as an int. The dimension needs to only display AGE, so I cast the int as a date and do a datediff to get AGE. The dimension builds just fine and I get the results I want. My problem is when I add the dimension to the cube. The cube fails to build and I get an error message - "Data source provider error: The column prefix 'MY TABLE' does not match with a table name or alias used in the query." Basically, AS is telling me that the table that is used for the dimension doesn't exist, even though the fact and the dimension are joined properly and I've validated the structure.
I've run a number of queries in QA on the two tables and everything works fine. No funky data issues. I've run the service packs a few times, but that didn't work either. I've tried making a cube that only has the just fact table and the one dimension table, and it still fails.
Basically, I'm out of ideas. Any help that anyone has is greatly appreciated.
I have designed a cube. It has two fact tables and some dimensions. Fact table to fact table is many to many relationship.
For example
FactMain DataKey(PK), StartDateKey, PostCodeKey, TotalCost FactBridge DataKey(FK), ProductKey(FK), Position - PrimaryKey on DataKey + ProductKey + Position DimProduct ProductKey(PK), ProductCode
Cube is built successfully, processed successfully.When I try to process the cube from agent job, I am getting error "Attribute key not found: tablename, value..." I have added a job step to run AnalysisServices Command. I have taken the command from cube process script(taken from manually process the cube and take script generated). I used ProcessAffectedObjects = "true" in the script. When I checked the tables, the key does exist. Why am I getting this error?
I want to implement population data in sales cube.
Fact table has customer code which is foreign key of Customer master dimension which in turn is linked to census data dimension. Census data dimension have city wise population data having foreign keys of zone and state.
I have been trying to get the ValueR column of the following query through the MDX but instead getting ValueW as output of the MDX
select exp(Log(sum(MTMROR)+ 1 ))-1 as ValueW, exp(sum(Log(MTMROR + 1)))-1 as ValueR from Temp_Performance where Rundate in ('2015-03-01','2015-03-02')
MDX written for the above query is
With Member [Measures].[LogValuePre] as ([Measures].[MTMROR] + 1) Member [Measures].[LogValuePre1] as VBA
[Code] ...
[MTMROR] measure has the aggregate function Sum. What i can get from this behavior is MDX is first aggregating the result and default aggregation function is Sum. When i try to see the value with more granular data by having the date dimensions on the row (un-commenting the date dimension) i get the correct log and exp log values. Its showing the correct value as date dimension is most granular level in the fact table. While trying to get the data at less granular level(Fund level), getting the sum function applied automatically.
If i set AggregateFunction to none in the cube structure, i get null as the output.
How could i apply the log function before the sum function in the [MTMROR] measure?
I am in process of automating a cube migration from SSMS 2008 to SSMS 2012.
In this process iam deleting the existing cube databases and restoring them on a different location on the same server. When i try to execute the restore command or restore using UI i get a wierd error message like this below:
"TITLE: Microsoft SQL Server Management Studio ------------------------------ File system error: The following error occurred while opening the file 'DrivePath3F9D4D128D5E417FA6F2[CUBEDBNamepath].fact.map'. Server: The current operation was cancelled because another operation in the transaction failed. (Microsoft.AnalysisServices)
1. SQL Server Data Warehouse 2. OLAP CUBE in Analysis Services
My question is - If my SQL Server Data Warehouse is changed (Having Append Data) - Is that My OLAP Cube will have the Append Data?
It's possible, my OLAP Cube always having Append Data if my Data Warehouse is changed? If yes, how to do it without re-deploy and re-process my Analysis Services Project.
I have a cube with 2 many-to-many dimensions where a special mdx query needs about 5 seconds. When I resolve the many to many relationships by multiplying the data in the fact table the query needs 21 seconds.
In general do many-to-many dimensions slow down query performance of a cube?
Without the many-to-many dimensions of course the fact table has much more rows. Could this be the reason for the performance loss?
how to tweak query performance of a cube in general?
I am thinking of a possible design where the cube will never go offline.
Usually when I do some code changes on my cube the cube goes offline and I need to Full Process it again to get it back .
However , in cases where the cube is extremely critical for the business users , it would be great if I can deliver a solution where the cube never goes down.
We are using a SSAS Server in order to analyse financial data. To create forecast scenarios, we would like to use the "what-if-analysis"-feature of Excel. With this feature, data that was changed in Excel can be written back into the cube.
There are several data analyists who should be able to create scenarios on their own, that's why, each of them gets his own offline cube (a .cub file that is stored in the file system) whose data is extracted from the SSAS Server.
Unfortunately, we found no way to write back data in these offline cubes. Due to the error message, Excel failed to establish a connection to the external data source. Is there a way to writeback data to a local cube?
