Search results
Hi Christian, The behavior you are descibing is expected behavior due to a one-to-many, with the many in your secondary data source. Unlike a join, where you would have what you describe as expected outcome, with data blending you have some limitations, e.g. you can only work with aggregates from the secondary datasource, and slice and filter by the dimensions in
Aug 9, 2017 · In this case, set up individual data sources for the data you want to analyze, and then use data blending to combine the data sources on a single sheet. Data is at different levels of detail. Sometimes one data set captures data using greater or lesser granularity than the other data set.For example, suppose you are analyzing transactional data and quota data.
Hi Sanath, I also faced a similar problem and was able to work out 2 possible solutions for it - i) As Keshia already suggested, the use of parameters is helpful here, you don't want to create quick filters from any of the data sources in this case, rather create a date type parameter for all dates you might need and use 'show parameter control' option for the parameter.
Hello, with the release of the new data relationship feature I would like to ask a question, when to use classical JOINs, Data blending and when to use relationships? I have been using the new relationship feature for quite a bit and I like it,
These data sources are not related, they have nothing in common. But I need them all in one workbook to produce 10 different reports and put them all on the same dashboard. By default, Tableau tries to blend additional data sources and gives me errors becuase "there are no linking fields used in the view". Correct.
- Tableau tries to make this invisible to the end user, but there are two different kinds of data blending, DB1 uses at least 3 queries to get the data, DB2*** uses at least 5, if you're triggering DB2 then that could be slowing things down due to the additional queries involved. - Whether your primary data source supports temp tables.
What this indicates is that either the logic has changed or that the data is no longer available. Sometimes a quick-fix is just to grab the original data point and drag it straight over the red pill. There can be a heap of reasons why the data has changed, but Tableau is pretty smart and just rebuilds the viz around the new value.
I have two different data source.when i performed data blending it showing kind of left join. but i want to perform inner join on blending, is there any workaround to get it because i have seen tableau is not giving any option to change join type or modify join type when we blend the data ? Please advise. Thanks, Amit
Now a question - why is the data blended? just from the description it sounds like you are comparing data from 2 periods - could you not create a union between the 2 data sets and unioning would allow you to use the full functionality of Tableau including LODs . we could tell more it you include your twbx . Jim
Aug 16, 2022 · additionally, data coming from the secondary source are always aggregated at the level of the link when brought to the primary source - the individual records are no longer available and you are not able to filter across the various data sources at that point - that is the long way of saying you will have to join or use a relationship - not blend the data
