I made an illustration, that describes the szenario. There is one Master, one dimension and a second facts table. The Master Table holds up all objects. Sometimes I have additional Information for some objects in Master Table. They are stored in extra tables like the table Optional_facts_for_villas.
My question: How can I combine these two fact tables in Cube Designer without doing a Full outer Join in my Database?
The reason why I want it this way, not all optional_fact_tables are necessary now for OLAP, but maybe later. So, I thought, easiest way would be, adding them later to the cube, without changing the database.
Sorry for my english, its not the best :)
I'm defining a mining structure against an OLAP dimension. The continuous value that I'm using both as input and for forecasting represents the time to complete a certain process.
There's something that strikes me as if it could be a problem, but I'm not sure. Our fact table has multiple columns (with multiple correponding measures in the cube). The "time-to-complete" measure is only populated on some of the fact rows - the rows that represent completion information. Other rows represent other information, and the "time-to-complete" value is set to 0. This works fine for cumulative time-to-complete and average time-to-complete, but it seems like it could mess up data mining. Will those 0-value facts skew the mining results? I'm not seeing a way to filter out those entries and only include the non-zero facts in the mining processing.
Or perhaps I'm totally misunderstanding something, which is quite possible. :)
This is my first task in attempting to populate a fact and dimension table from SSIS. I have a Fact table Sales and dimension tables Customer and Location. The data I am getting to fill this structure is in one file. where each record contains the sales information as well the customer information and location details on the same row.
I am using the SSIS to fill this structure by using the slowly changing dimension for the Customer dimension.
I am filling the customer dimension by using the slowly changing dimension. If I have 2 records having same BusinessKey but each with a different first name, where first name is set as a changing attribute, it is creating the customer twice in the table. But shouldn't it create one record with the most recent first name? or am I miss using the SCD.
I have another conceptual question, I am not sure which is the best way to fill my fact and dimension. Should I fill the customer and location dimensions first through 2 different loops on the data and then fill the fact table and map to corresponding dimensions? Or should I do like a for each loop on each record and for each record fill the dimensions and fact simultanously?
I have some source tables like Customer, Order, ship, item, invoice. Among these source tables, I have to create 5 dimension tables and 1 Fact called orderFact using sql server queries just to test data. So i have created 5 dimensions and pulled dimension keys from each dimension and loaded into fact using join. For measures I have joined those 5 sources created a Rawfact table which have all measures.
Now loading into fact I have joined Rawfact with all dimensions and get keys and for measures i directly pulled from rawfact. Is this process right or we can do it by some other method?
And I want to avoid any Cartesian product for below queries. What I can do to avoid this?
Dimension: DimCustomer, DimOrder, DimShip,DimItem, DimInvoice and Fact is FactOrder:
Loading Rawfact:
select o.ord_id, o.full_order_value,o.open_order_value,o.div_code, o.order_type_code,o.order_status,o.order_date, s.num_of_pallets,s.num_of_cartons,s.shipment_value,s.ppd_coll,s.ship_status, i.invoice_amt, it.net_weight, it.gross_weight,it.warranty_days,it.item_type,it.item_num, c.terr_code, c.largest_bal,c.last_amt_pay,c.last_inv_amt,c.num_invoice_paid,c.cust_num, from order o
I am just starting out using CUBEMEMBER/CUBEVALUE formulas in excel linked into a sql olap db - using this method for some custom reports where pivot tables are not suitable. The time dimension values include Months, Quarters and Years and the CUBEMEMBER formulas like
=CUBEMEMBER("OLAPCUBE","[Time].[Time].[Year].&[2015].&[1].&[1]") work fine - 1st quarter 1st month etc.
Is there a straightforward notation to aggregate months or do I need to use a plus sign to add a number of CUBEMEMBER formulas together.In other words - Is there an easier way of for say jan to july 2015 totals than
hello, Iam trying to build OLAP cubes in MS SQL Server 2000.But all the tutorials/docs mention about fact tables & dimensions. Can I get some good tutorials on how to create fact tables to build OLAP cube ? Also, which OLEDB provider to be used for MS SQL Server while creating OLAP Datasource ?
Thanks in advance & wishing u a prosperous new year too.
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..
When I make a call to GetSchemaDataset with a restriction of a cube name with a space in the name of the cube the call fails. Following is a sample of the code: adoRestriction = new AdomdRestriction("CATALOG_NAME", "Contoso Telecom_Contoso"); adoRestrictions.Add(adoRestriction); dataSet = conn.GetSchemaDataSet("MDSCHEMA_CUBES", adoRestrictions); I am running SQL Server 2005 Analysis Services SP2. Is there some way to qualify the cube name in the restriction or is this just a bug? Thanks.
I have only 1 denormalized table that is being used in a SSAS Tabular model(which is about 3GB). I am doing a POC to convert it into a SSAS Multidimensional and explore it.
1st Question) I am seeing that there is no Primary Key(unique key) in the current denormalized table. (Tabular Model didnt require any primary key). But i think for Multidimensional the key is mandatory? Should i generate a composite key myself in a Named Query based on this table(in the DSV)?
2nd Question) What is the best way to design my Multidimensional Cube/Dimensions based on this single table?
Say if i comeup with a Composite Primary Key called (PK_ID) . Should i be splitting up my facts / dimensions in my DSV using Named Queries similar to below(Using the same PK for my dimension tables also?)
a) FactTable = Select PK_ID, Qty1,Cost1,Price1,Amount1 from Table1 b) StoreDim = Select PK_ID, StoreName,StoreDese from Table1 c) ItemDim = Select PK_ID, ItemName,ItemDesc from Table1
I have an archieve cube as .cab file and i have restored my cube into analysis server , but i am not able to browse the datain the cube. My doubt is- Does the cube contains data with it to browse or not? or we have to explicitly enter data at the sql query analyser.
Just started researching Analysis Services product, and am playing w/ foodmart db (located on my C: drive) and creating cubes and dimensions, etc.
My problem is that I cannot browse any dimensions once they are created. For exampe, for a dimension called product I am getting an error message, "Unable to browse the dimension 'product'. Unspecified error"
1.Create a table. The table must contain four columns of your choice and at least ten rows. Create a meaningful example of your own. The last column in the table must be a quantity. Provide output showing your CREATE TABLE and INSERT statements. Also include output showing their successful execution.
2.Create a ROLL-UP query using the table you created in problem #1 Provide output showing your SELECT statements and the resulting output rows. Next use the TRANSCT SQL help function of SQL Server and write definitions of the following SQL statements: a.IS NULL- b.GROUPING- c.AS-
3.Create a CUBE query using the table you created in problem #1 Provide output showing your SELECT statements and the resulting output rows.
4.Create the following CUBE queries using the table you created in problem #1. Provide output showing your SELECT statements and the resulting output rows. a.A CUBE query with Grouping used to distinguish Null values. b.A CUBE query showing a multidimensional cube. c.A CUBE query created using a view. For this problem you must not only create your view but query it and display the results.
5.Create one example of a query using COMPUTE and one example of a query using COMPUTE BY. These queries should use the table you created in problem #1 Provide output showing your SELECT statements and the resulting output rows.
I have just started working the 2047 OLAP and came arcross the Analysis Service Limits. It states that the levels in a cube has a limit of 256 and the leves per dimension is 64. I am confused.
What is the definition of (levels in a cube)! and how are the levels in a cube different from (levels per dimension)
I am trying to build a cube to monitor the sales performance. My measure is the sale amount. My dimensions include 1) Time 2) Sale hierarchy (salesman, sales office, region), and 3) Product Line. The problem I have is that when the salesman move from one office to another, the sales occured before this movement should continue to be credited to the old office. Only sales happen after the movement should be credited to the new office. How should I implement the cube to achieve this effectively? We have more that 40,000 sales, about 500 offices, in the company to monitor. So I don't think keeping a copy of the sales hierarchy whenever there is a change is feasible.
I have installed SQL Server 2005 on a server which runs Windows Server 2003 with SP2. And I have two client machines, both running Windows XP with SP2. Machine A has a full version of SQL server 2005 installed, including database engine, analysis service server, reporting service server. Machine B only has workstation components installed, BI development studio, SQL Server management studio.
I have developed a couple of analysis service projects and deployed to the server. On machine A, I can connect to the server and browse cubes no problem. On manchine B, I still can connect to the server and see the projects I deployed, even browse dimensions data. But when I browse cubes, management studio will be hanging there, not doing anything. Eventually I will have to kill it. I also opened the projects on machine B from BI management studio and try to browse data from there, it shows 'loading data' and doesn't do anything either.
Does anyone experience this type of issue? It's really frustrating as it doesn't show me any error message.
We are using SQL 2005, Visual Studio 2005, SSIS, and SSAS. We have built our Dimensional model in SQL 2005, we have build our packages to complete full refresh of Dimensional model using SSIS. We have built SSAS cube using VS 2005. We built source, data source, cube and dimensions using auto build. We processed cube in VS 2005 by right clicking on solution and click process. Cube was built in Analysis Services. We made some schema changes to model then data changes in SSIS packages. We then pulled up cube in VS 2005 right click on solution and process. Cube is being re-built. After completion we check cube using Proclarity and Excel 2007 and notice the schema changes and data changes did not take. We dropped cube, then deleted data source, dimensions, and cube then re-created data source view and cube auto build then process and now have new schema changes and data changes. Why is process not working to re-build schema and data changes when we have process FULL selected, Changes only. We even tried rebuild, deploy, and process. What is it we are missing or not doing correctly?????????
Can anyone suggest a case-study/reference links/video demos for creating a cube using Analysis Services and generation of reports using Reporting Services.
Hi All,I want to create a cube using MSSQL2000 i dont know any thing how tocreate and what is parameter required so if any body help me i will bethankfull to him/her.For information : i have 4 tablescustdetailtable which contain all about a customer as per examplecustomer ID,name,add,CUSTOMERID IS PRIMARYKEY,Proddetail table which contain all about a product meanproductcode,productname,productvalue,dman (dateof manufacture),dexpdate of expire,etc etc PRODUCTCODE IS PRIMARY.Sales this table contain data aboutsale mean sales detailcusomerid,productcode,noofpieces,priceperunit,prod uct name,date ofsale. etc etc SALEID IS PRIMARYKEY,PRODUCTCODE AND CUSTOMERID ISFOREIGNKEY AND PRODUCTCODE IS PRIMARYKEY,and atlast i have a table name stok detail which contain productid,DTOFman and DTofexpire and amount of producthere product id,DTOFman and DTofexpire are foreign key.
Hi, Can anyone explain me that WHAT IS CUBE AND ROLLUP Statments for?? Why to use, Where to use and When to use??? Are they usefull in any point of view from ADO.NET???
I had no problem setting parameters with a relational database. But with a cube its so much more difficult. When i check the parameter box in the dataset it gives me way too many options..when i only want 1999, 2000, 2001, 2002, 2003, 2004, 2005 and 2006. Instead, its displaying all the quarters in each of those years, so i get this long list. Is there any way i can fix that. And actually get the parameter to work. Because when i click one, it doesnt look like it queries the report. Whats the process for putting a parameter in the report? Am i missing something?
Trying to drillthrough one report to another. But im not getting the correct values. I dont know why its not working. I created the parameters and linked them in the properties of the clickable field. What am i missing? or is it more complex in a cube to drillthrough then relational tables?
Hello, I've gotton both the sprocs in these tutorials to work in the C# app: http://www.sqlserverdatamining.com/DMCommunity/TipsNTricks/4503.aspx http://www.sqlserverdatamining.com/DMCommunity/TipsNTricks/2271.aspx
But when I try to call them in the Managment Studio I get the following error: "No cube specified. A cube must be specified for this command to work."
