left join <table name> on <source table>.key = <table name>.key -- in order to get the new data where <table name>.key is null
Creating a dimension or SQL calendar table for business dates and fiscal periods might seem intimidating at first, but once you have a solid methodology in line, it can be very worthwhile. There are many ways to do this; some will subscribe to the idea that many of these date-related fact...
If you are using Microsoft SQL Server 2000 to manage the relational database, you can use indexed views to implement the star/snowflake schema. Using indexed views allows any changes in the source table to be reflected automatically in the view. Since SQL Server indexed views use a clustered ...
Here’s the T-SQL specifying the symboldimension table. Some conditionally executed code at the beginning of the script removes any prior version of the symboldimension table in the dbo schema. This dimension table has two columns – one for the symbol and another for the exchange on which a...
SQL>desctimes NameNull?Type--- --- ---TIME_IDNOTNULLDATEDAY_NAMENOTNULLVARCHAR2(9)DAY_NUMBER_IN_WEEKNOTNULLNUMBER(1)DAY_NUMBER_IN_MONTHNOTNULLNUMBER(2)CALENDAR_WEEK_NUMBERNOTNULLNUMBER(2)FISCAL_WEEK_NUMBERNOTNULLNUMBER(2)WEEK_ENDING_DAYNOTNULLDATEWEEK_ENDING_DAY_IDNOTNULLNUMBER CALENDAR_MO...
This approach is much less complicated than the technique in the last section, which required a UNION ALL and then renaming table objects.SQL Copy INSERT INTO dbo.DimCustomer SELECT CustomerNo AS CustAltKey, CustomerName, EmailAddress, Phone, StreetAddress, City, PostalCode, CountryRegion ...
Create a JDBC dimension table to connect to the source stream.You have created a JDBC instance for your account.The RDS table is used to connect to the source stream.CREA
Note This error may also occur for legitimate reasons, such as changes in the underlying data source. However, if the underlying data in the table or view that serves as the source for the dimension has not changed, this could b...
The Slowly Changing Dimension Wizard only supports connections to SQL Server. The Slowly Changing Dimension transformation provides the following functionality for managing slowly changing dimensions: Matching incoming rows with rows in the lookup table to identify new and existing rows. ...
JOIN statements for dimension tables,Realtime Compute for Apache Flink:In Realtime Compute for Apache Flink, each data stream can be associated with a dimension table of an external data source. This allows you to perform associated queries in Realtime C