Our organization is in e-commerce and users are looking to change a filter everyday with a different list of items, and none of the users will have their own license, just read-only access. The data is connected through Google Big Query, is there a way to have this bulk filter upload capability without the License owners having to touch the filter each time?
Example
Product ID is the filter
Monday: they have a list of 10,000 ID's they want to check sales for
Tuesday: They have a new list of 4,000 different ID's they want to check sales for.
Without clicking each ID each time, is there a way to just upload a list, csv, google sheet etc.
We thought users can upload a list of Product ids to Google sheets which can map to a BigQuery table. We can use it to join with the sales table and get the relevant data. However this becomes unmanageable when we have more than 1 user as users might step on to others data.
Any suggestions/recommendations are welcome. Our team is pretty new to Tableau as such. Let me know if any additional details are needed.
Have you tried changing the filter type to "Multi Values (custom list)" and then having the report user paste their list into the filter? See below:
Related
I want to identify the bad/invalid records so that i can add in a separate SQL Table. For example, we have an account object. And i want to find bad accounts. But i need to apply some filters on contact object. If conditions satisfy based on contact then i want to inserts those invalid account records in SQL Table.
I don't want to directly query from contact. I want to query using account but conditions should be used from contact.
Do anyone knows what is the best way to perform loop in Pentaho? Check each record for contact , if all contact's condition satisfy then add Account id in table. If one of the contact record doesn't satisfy condition. The relevant account should not be added in SQL Table
For Example:
On Account "A" we have 10 contacts
if the email field is empty on all 10 contacts then add Account in SQL table(As bad data)
if on two of contact rcords has email field populated but 8 of them are blank then Account id shouldn't be added in SQL table
How we can better implement this scenario using Pentaho? Any help matters
Thanks
So you can create a transformation similar to this:
You have a query with the different account contacts
Order the query data by account
Group the information by accounts and calculate the maximum ContactMail (so if all mails in contacts are null, the max will be a null, is the result of that step is shown in the Preview data part of my screenshot)
Filter rows by MaxContactMail IS NOT NULL
These could be the basic steps, you'll need to add more steps or perform more than one transformation depending on the complexity of your data.
I started to test Google AdWords transfers for Big Query (https://cloud.google.com/bigquery/docs/adwords-transfer).
I have few questions for which I cannot find answers anywhere.
Is it possible to e.g. edit which columns are downloaded from AdWords to Big Query? E.g. Keyword report has only ad group ID column but not ad group text name.
Or is it possible to decide which tables=reports are downloaded? The transfer creates around 60 tables and I need just 5...
DZ
According to here, AdWords data transfer
store your AdWords data into a Dataset. So, the inputs are in terms of Adwords customer IDs (minimum one customer ID) and the output is a collection of Datasets.
I think, you need a modified version of PubSub to store special columns or tables in BigQuery.
Just a bit of background info:
I have dimension table which uses SCD2 to track user changes in our company (team changes, job title changes etc) See example below:
I've built an Analysis Services Cube and created all the necessary hierarchy's for the dimensions and it works well when navigating and drilling down through the fact table.
The problem I have is with the filters on the PerformancePoint dashboard. As I'm using the User Dimension table with it's multiple instances of users it's showing duplicates up in the list. I can understand why as the surrogate ID is being referenced on the Dimension. But if I choose the first instance of the A-team I will see all their sales for a particular period and if I choose the second instance I will see all their sales for a different period.
What is the best way to handle this type of behavior? Ideally I'd like to see a distinct list of teams in alphabetical order and when I choose the team name it shows all of their data over time.
I've considered using MDX query filters but I'd like to see if there's anything I haven't thought about.
I realise this isn't an easy and quick question but any help would be appreciated!
The answer was simple after having a trawl through my User Dimension table on the Cube.
Under my user dimension I added 2 duplicate attributes to my attributes list ("Team Filter" is a copy of "Team", "User Filter" a copy of "User Name") these will be used only for filtering the dashboard.
Under the attribute properties for each duplicate I then set AttributeHierarchyOptimizedState to "Not Optimized", I also set their AttributeHierarchyVisible to false as I'd shown the two duplicate attributes in the hierarchy window in the middle.
Deploy your Cube to the server and go in to PerformancePoint. Create a new MDX Filter (this image shows the finished filter)
This is the code I used, it only shows dimension members which have a fact against them (reduces the list a considerable amount) and by using allmembers at the dimension it also gives me the option to show "All" at the top of the list.
Deploy the new filters and now you can see the distinct list of users and teams, works perfectly and selects every instance (regardless of the SCD2 row)
I would like to join the user object and project permission object to see how many users have been assigned to a project, for audit purpose. I don't see a common field with common values (email address or first name/last name) between these objects. I used Excel plugin to retrieve two separate data sheet and unable to map them. Any thoughts on this on how to do this?
You're probably seeing something similar to the following when you query on ProjectPermissions:
In this situation, the default User object selected from the "Columns" picker in the query dialog, gives you the User's DisplayName, which doesn't unambiguously map to a Rally UserID.
Note, however, that you can add dot-notation sub-fields of Objects manually by typing them into the Columns field. In the following example, I've included User.Username and User.LastLoginDate as additional fields I want to show on the Permissions report:
Of course, you could also just include User.Username, and run a second query on the User object with all fields selected, and do a join in Excel.
One note of caution - if you have many users (say 1,000), and a lot of projects, (say 1,000, which is not uncommon in large Rally subscriptions), querying directly against the ProjectPermissions endpoint can rapidly result in total results that number on the order of 10^6. This will probably time out in an Excel query.
The Rally User Management: User Permissions Summary script works around this by querying Permissions in a loop on a user-by-user basis. It's slow, but it returns results without timeouts. Certainly not as convenient as Excel either - you need to install Ruby 1.9.2+ and the rally_api gem to get it working.
I'm currently logging all actions of users and want to display their actions for the people following them to see - kind of like Facebook does it for friends.
I'm logging all these actions in a table with the following structure:
id - PK
userid - id of the user whose action gets logged
actiondate - when the action happened
actiontypeid - id of the type of action (actiontypes stored in a different table - i.e. following other users, writing on people's profiles, creating new content, commenting on existing content, etc.)
objectid - id of the object they just created (i.e. comment id)
onobjectid - id of the object they did the action to (i.e. id of the content that they commented on)
Now the problem is there are several types of actions that get logged (actiontypeid).
What would be the best way of retrieving the data to display to the user?
The easiest way out would be gabbing the people the user follows dataset and then just go from there and grab all other info from the other tables (i.e. the names of the users the people you're following just started following, names of the user profiles they wrote on, etc.). This however would create a a huge amount of small queries and trips to the database in a while loop. Not a good idea.
I could use joins to retrieve everything in one massive data set, but how would I know where to grab the data from in just one query? - there's different types of actions that require me to look into several different tables to retrieve data, based on the actiontypeid...
i.e. To get User X is now following User Y I'd have to get my data (User Y's username) from the followers table, whereas User X commented on content Y would need me to look in the content table to get the content's title and URL.
Any tips are welcome, thanks!
Consider creating several views for different actiontypeids. Union them to have one full history.