i face a problem to create a new cube with the fact table without numeric field as a measure. can i use others data type of field as a measures?
anyone can provide me a solutions to solve it? thank you ..
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 working on a model where I have a sales fact table. Each fact record has four different customer fields (ship- to, sold-to, payer, and bill-to customer). I have one customer dimension table that joins to the sales fact table four times (once for each of the customer fields above). When viewing the data in Excel, I would like to have four hierarchies (ship -to, sold-to, payer, and bill-to customer) within Customer.
Is there a way to build hierarchies within my Customer dimension based on the same Customer table? What I want is to view the data in Excel and see the Customer dimension. Within Customer, I want four hierarchies.
I have a big table with several types of transsactions: PO (Puchase Orders, SO,( Sales orders), INV (Invoices) ....
I want to create cubes with only one type of transactions (1 cube for PO,...)
Where and how can I filter the rows I want to use in my cube ?
Thanks
I am using a WriteBack Partition to receive data from various inputs and appends any new data that I add to the WB partition.
I am able to read the data immediately in the WB partition through a Fact partition query. This is working at this point as desired.
Eventually I want to move the data from the WB partition into Fact Partition. How can I do this, manually and through automation.
I have a large fact table about 500 million rows, and I am using 2008 r2, thus I am having the file system error, I have browsed online and tried all the fix , but I am still having the error . I tried taking only about year data (which was still around 200 million records) and I was still having the error.
View 11 Replies View RelatedWe have a sales fact table that has sales by customers, products, date etc. and dimension tables such as customers, products etc.
We built a multi-dimensional cube on top of these tables. how do we support queries like "show me top 10 products by sales amount and then show customers that didn't buy these products"?
I am modelling two fact tables of Actuals and Budget which are at different granularity, Actuals are at day, customer and product sub category level. Budgets are at month, Region and Product category level.
Month, Region and Product Category is present in Date, Region and Product Category dimension respectively. I have only three dimensions as Customer, Product and Date. Linking those dimensions to Actual Fact table is not an issue, what is the best way and options are there to link budget fact table to those three dimensions.
I am developing a BI solution on SQL Server 2008 R2 and how to handle multiple referances to the same dimension from a fact table!
Here is the scenario;
Fact_Contracts (# M)
ServiceProvider_CompanyID, Client_CompanyID, Amount_USD
Dim_Company( hundreds)
ID, CityID, ProfessionID, CompanyName
Dim_City
ID, CityName
Dim_Profession
ID, ProfessionName
As u can see there is two company references in my fact table, and the schema is in snowflake. My customer requirements state that the Contracts' amounts can be aggregated/filtered for/by, ServiceProviderCompany, its city/profession or ClientCompay, its city/profession.
First thing came in to my mind is to dublicate whole dimension structure (one for serviceproviders, one for clients), which i thought that there should be another way around?
Say you have a fact table with a few columns that all reference the same key column in a dimension table, you want to write a view to return the information for those keys?
USE MyTestDB;
GO
SET NOCOUNT ON;
IF OBJECT_ID ('dbo.FactTemp' ,'U') IS NOT NULL
DROP TABLE dbo.FactTemp;
[Code] ....
I'm using very small data at the moment, and the query plan and statistics don't really say which way.
I have a transaction table having about 40 crore rows in source. It don't have timestamp and unique key columns. It have only Bill_month and Bill_Year columns. Actually for loading this table into staging I have added a new datetime column by adding default bill_date as 01. Then
* First we delete last 3 month data from staging tables.
* Get last 3 months data from source table.
* Load that 3 months data from source to staging table.
We do this because we only get update for last three months data. Now I have to include this transaction table as Fact table in DW. What will be the best practice for loading the fact table by picking data form staging table. Also we have to look up with dimensions for Foreign Keys.
* Should I implement the same method of deleting last 3 months records and loading them again.
Have to create SSIS package for the below requirement:
I have source data in 2 excel files. Data from both these excel files should be loaded to the same single Fact table.
The column names in excel files and table are not same. I have a Reference table which has the column mappings between excel and Fact Table.
I have to refer this Reference Tabel for column mappings, plus i have to add some derived columns (Created_Date) to load the Fact_Table.
I have given a sample data structure below:
Source Data
Excel1_Order.xls
OrderNumber OrderQuantity OrderDate
Order10001 100 01-01-2011
Excel2_Customer.xls
CustomerNumber CustomerName CustomerAddress
[Code] ....
Is there any way to handle this in SSIS?
I have dimension data like this
persn_key persn_id address is_active updated_date
1 10 NYC 0 2015-11-04 14:19:54.817
2 10 Chicago 1 null
and Fact table like
fact_key persn_key units_purchased
1 1 10
persn_key is the surrogate key between tables.
My question here is as the dimension has SCD type 2 on it and every time when there is a change the persn_key gets a new key value but the fact table still points to oldest key.how to update the surrogate key on fact table to the current key value? As per the requirement fact surrogate key must be pointing to current active record on the dimension.
I've got a dimension built from a fact (whatever that's called?) ... it's a date interval field, i.e. 0-5 weeks, 6-10 weeks 11+ weeks. How do I sort these members in the respective order? Looks like this currently:
The problem lies in the fact that I don't have any secondary attributes to order it by, i.e. it's not a physical dimension where I can use a key for the 3 members. I was hoping I wouldn't need to create a separate dimension to get round this.
I am using sql server 2005 enterprise edition.
How to list all the dimension and fact column names with mdx or tsql query...
I am modelling cube in SSAS. Cube has around 20 dimensions and 6 fact tables. Some of the dimensions are common among the fact tables. e.g. Time dimension. Fact_PNL has 3 date columns for those we have 3 role playing dimensions in the dimension usages.
Another fact table has 5 date columns for them as well we have separate role playing dimensions in dimension usage tab. We have a common dimension Company which is foreign key in all fact tables. We might need to combine the data from multiple facts to get final output.
Should i create 6 role playing dimension for each of the fact table or use the same dimension for all fact tables?
Role playing dimensions should be created when we have multiple columns pointing to the same dimension ?
I built my first tabular model and see that my fact tables are also appearing as dimensions. In Multi dimensional mode i could choose which are the dimensions. How do i do that in tabular model.
View 2 Replies View RelatedI'm currently setting up a Tabular Model to do some research between several fact tables. In this example i have two fact tables (table 1 and table 2) which I've created a 1 to 1 relationship on phone number. Typically I create a relationship between these tables to find common data between the two. However, in this case I am trying to figure out the best way to model the data so that I can easily surface data from one table that does not exist in the other. I would liken this to a LEFT JOIN or a WHERE NOT EXISTS in SQL.
Table 1 has all of the data and Table 2 Only has a subset of the data from Table 1. What I'm trying to do here is display what attributes in Table 1 may play a part in records not existing in Table 2. What is the best way to model this?
I have a Fact table that contains several degenerate string values that I have pulled into a Fact Dimension.
When I browse the cube and cut one of the measures by an attribute from the Fact Dimension, I am getting incorrect data.
In other words, when I query the fact table directly via SQL and apply the same filters, I see the data I am expecting to see. But cube browse with same filters yields different results.
How can this happen since the fact dimension has a 1:1 relationship with the fact table.
I do have the Dimension Usage configured properly.
Is this an aggregation thing? Attribute key thing? What am I missing?
Hi,
I have some questions about SQL Servers 2000 and 2005 compatibility.
In my configuration I have to use both servers.
The cubes are stocked in 2005 server.
May I transfer from 2005 to 2000 Analysis Services the cubes?
If yes, what is the procedure? The result of migration is the same in the two different versions?
If not, how can I solve this problem?
Thanks in advance.
Wonder if you could help me ?
I have set up a cube running under MSSQL Server 2000 Analysis services and have created reports in Excel 2002 using pivot tables and linking into the cube as an external data source.
The pivottable works fine and I can slice / dice as usual, the only thing that doesnt work is the drill through into AS. I receive and error message saying "Cannot show detail data for that selection...".
Now I know that the drill through works, as when I create a report using the Analsyis Services Excel Add Inthe drill through works fine, its just how do I get it working using the pivot tables ?
fyi - the reason I dont want to use the Analsyis Services Excel Add In for all the reports is because I have to deploy this to XX number of users, who wont have admin rights on their machines etc etc....
Is there any VB that I could use to perform this drill through and return the results.....or easier ??
Thanks very much
Mark
I have, a SSAS 2012 tabular instance with SP2, there is a database on the instance with a read role with everyone assigned permissions. When configuring the Power BI analysis services connector, at the point where you enter Friendly Name, Description and Friendly error message, when you click next I receive the error "The remote server returned an error (403)." I've tested connecting to the database from Excel on a desktop and connect fine.I don't use a "onmicrosoft" account so don't have that problem to deal with.
We use Power BI Pro with our Office 365. As far as I can tell that part is working ok as I pass that stage of the configuration with a message saying connected to Power BI.The connector is installed on the same server as tabular services, its a Win2012 Standard server. The tabular instance is running a domain account that is the admin account for the instance (this is a dev environment) that account is what I've used in the connector configuration. It's also a local admin account. There is no gateway installed on the server.
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,
How to right choose key column in"Mining Structure" for Microsoft Analysis Services?
I have table:
"Incoming goods"
Create table Income (
ID int not null identity(1, 1)
[Date] datetime not null,
GoodID int not null,
PriceDeliver decimal(18, 2) not null,
PriceSalse decimal(18, 2) not null,
CONSTRAINT PK_ Income PRIMARY KEY CLUSTERED (ID),
CONSTRAINT FK_IncomeGood foreign key (GoodID) references dbo.Goods ( ID )
)
I'm trying to build a relationship(regression) between “Price Sale” from Good and “Price Deliver”.But I do not know what column better choose as “key column”: ID or GoodID ?
It is possible to create Analysis Services project (*.dwproj) in Visual Studio 2012 Data Tools?
View 5 Replies View RelatedI cannot create a measure that returns results for dates that do not exist in the fact table despite the fact that the components included in the measure contain valid results for these same dates.Creature a measure that counts the number of days where the "stock qty" is below the "avg monthly sales qty for the last 12 months" (rolling measure).Here is the DAX code I have tried for the measure (note that filter explicitly refers to the date table (called Calendar) and not the fact table):
StkOutCnt:=CALCULATE (
COUNTROWS ( VALUES ( Calendar[DateKey] ) ),
FILTER (
Calendar,
[Stock qty] < [Avg Monthly Sales Qty L12M@SKU]
)
)
Below you can see the sub measures (circled in red) are giving results for all days in the calendar.Highlighted in yellow are dates for which the StkOutCnt measure is not returning a result. Having investigated these blank dates, I am pretty confident that they are dates for which there are no transactions in the fact table (weekends, public holidays etc...).why I am getting an "inner join" with my fact table dates despite the fact that this is not requested anywhere in the dax code and that the two sub measures are behaving normally?
We need to Insert/Update a Fact Table from staging Table. currently we are using a SP which update Fact Table for Each region. this process is schedule, every 5 min job is run and Update fact table.but time of Insert and Update too long from staging to Fact, currently we are using merge statement for Insert and update.in my sp we are looping number how many region we need to update and at a time single Region we are updating using while loop in current SP.
View 7 Replies View RelatedI am using
SSAS: version 2008
Excel: version 2013
I am connecting to SSAS cube from Excel and I have date dimension with 4 fields (I have others but I don't use it for this case). I created 4 fields in order to test all possible scenarios that I could think of:
DateKey:
- Type: System.Integer
- Value: yyyyMMdd
Date:
- Type: System.DateTime
DateStr0:
- Type: System.String
- Value: dd/MM/yyyy (note: I am not using US culture)
- Example: 01/11/2015
DateStr1:
- Type: System.String
- Value: %d/%M/yyyy (note: I am not using US culture)
- Example: 1/11/2015
Filtering on date is working fine:
Initially, in excel, filtering on date was not working. But after changing dimensional type to time, and setting DataType to Date, as mentioned in [URL] filter is working fine as you can see in the picture.Grouping on date is not working:
I have hierarchy in my Date dimension and I can group based on hierarchy, no problem. But user is used to pre-build grouping function of excel, and he wants to use that. Pre-build functions of Excel, Group and ungroup seems to be available as you can see in following picture:
But when user clicks 'Group', excel groups it as if it is a string, and that is the problem. User wants to group using pre-build grouping function available in Pivot table. I also find out that Power Pivot Table does not support this excel grouping functionality. And if I understood well, this pre-build grouping functionality of excel, needs to do calculation at run time, and that is not viable solution if you have millions of rows. So Power pivot table does not support pre-build grouping functionality of excel and hence we need to use dimension hierarchy to do the grouping. But I am not using Power Pivot table, I am using simple Pivot Table. So I expect grouping functionality to be working fine. Then I tried to do simple test. I created a simple data source in excel itself. And use it as source of my Pivot table. Then grouping is working fine. The only difference that I can see is (When double click the Measure value in Excel),For date values of my simple test, excel consider them as 'Date'.
For date values of my data coming from cube, excel consider them as 'General'
2.1. But value here is same as it was in simple test.
2.2. 'Date Filter' works just fine.
2.3. If I just select this cell and unselect it, then excel change type to 'Date' though for that cell.
2.4. I have created 4 different types of fields in my date dimension thinking that values of attribute of my dimension might be the problem, but excel consider 'General' for all of them.
2.5 This value (that can be seen when double clicking on measure) comes from 'Name Column' of the attribute. And the DataType defined is WChar. And I thought that might be the reason of issue. And I changed it to 'Date'. But SSAS does not allow it to change to 'Date' giving error : The 'Date' data type is not allowed for the 'NameColumn' property; 'WChar' should be used.
So, I don't know, what is the puzzle piece that I am missing.
1. Date filter works, group does not work
2. Excel consider it as 'General' string.
3. SSAS does not allow to change 'NameColumn' to Date.
I only see a need for a PK in a dimension table, not a fact table. Do you agree?
View 4 Replies View RelatedI would like to know how to use a fact table so that when I insert or update a row with a word that the table will reference the fact table to make sure that the word I'm using is correct.
for example I have a table with column Fulltext and Abbreviation
in the fulltext column I have a a word "Windows Server 2008" now in the abbreviation I would like to abbreviate this to "Win Srv 08" Now the Fact table would have to columns Fulltext and Abbreviation under Full text the full words would be in it like Windows, Server, and 2008 and under the Abbreviation column Win, srv, and 08
So I want it so that everytime the word Windows comes up and I need to type an Abbreviation for it that it will reference the fact table which is using the Abbreviation Win. To avoid different ways of abbreviating the word windows.
Is there a way to do this automatically so that I don't have to manually go back and forth between the fact table and the table that I'm updating?
Hi,
we have a problem with "one-to-many relations between fact table and dimension table". Take the example of table "LOGGEDFLAW" which is related one-to-many to the table "LOGGEDREASON. "LOGGEDFLAW" includes the column "FLAWKEY" and "LOGGEDREASON" includes the column "REASONKEY" and essentiallay the column "FLAWKEY" as foreign key. Now assume that we have the following records in there:
LOGGEDFLAW
1) FLAW1
2) FLAW2
LOGGEDREASON
1) REASON1,FLAW1
2) REASON2,FLAW1
3) REASON3,FLAW2
Now assume, that "LOGGEDFLAW" is the facttable and "FLAWCOUNT" is the measure with the source column "FLAWKEY" in which we want to count the number of FLAWs. As you see in the example the number of FLAWs is 1 for "FLAW1" and "FLAW2". Microsoft Analysis Server generates the value of 2 for the number of FLAWs "FLAW1" because of the one-to-many relationship to the table "LOGGEDREASON". In the attached ZIP File you find :
- a MDB File with the described example
- a screenshot from the cube constructed in AS
- a screenshot from the result table generated with AS.
The question: How is it possible to calculate the measure "FLAWCOUNT" correctly, ignoring the records generated by the one-to-many relationship?
Best regards,
Thorsten
I have picked an exmple from this forum, to help me explain my current problem...
"I'm looking for a solution to import data from a flat file into an normalized data modell. To explain it a little simpler think about to following:
The Data Souce is a CSV-File with FirstName, LastName and Category. Sample data could be
Dirk; Bauer; sailing
Peter; Bauer; fishing
Marc; Bauer; reading
In my data modell I have defined the 2 tables "Person" and "Category":
Table "Person"
----------------
[PersonID] [int] IDENTITY(1,1) NOT NULL
[CategoryID] [int] NOT NULL
[FirstName] [nvarchar](50)
[LastName] [nvarchar](50)
Table "Category"
----------------
[CategoryID] [int] IDENTITY(1,1) NOT NULL
[CategoryName] [nvarchar](50)
Now I like to read my first row from the source and lookup a value for the CategoryID "sailing". As my data tables are empty right now, the lookup is not able to read a value for "sailing". Now I like to insert a new row in the table "Category" for the value "sailing" and receive the new "CategoryID" to insert my values in the table "Person" INCLUDING the new "CategoryID".
I think this is a normal way of reading data from a source and performing some lookups. In my "real world" scenario I have to lookup about 20 foreign keys before I'm able to insert the row read from the flat file source.
I really can't belief that this is a "special" case and I also can't belief that there is no easy and simple way to solve this with SSIS. Ok, the solution from Thomas is working but it is a very complex solution for this small problem. So, any help would be appreciated...
Thanks,
Dirk"
http://forums.microsoft.com/MSDN/ShowPost.aspx?PostID=74752&SiteID=1
Could someone help me creating the dimension table?
Thanks!!
I have a large flat file that comes to me. I first import the flat data in to a SQL table for ease of use. Then i put it into a more permanent table with the proper references to dimension tables. I want to build a dimension table out of information from my flat file. I have a dimension table with columns, [Org Client], and [Client#] where [org client] is the name of the client. Both of these columns appear in my flat file but i want to use only the client# in my permanent table. How extract distinct values of client # and [org client] into a dimension table?
My idea was to select distinct values of client# and use some type of foreach loop to go through each client# and use a query to select the TOP(1) values of [org client] where client# = x. Would this work and if so how do I go about setting this up?
I'm really hoping there is a simpler way than this. Thank you all for your time.