However will u improve performance of tableau server?
- Avoid fast filter as attainable. If needed, we will use context filter for higher performance.
- higher application program.
- Use extracts rather than live affiliation.
- Use cache mechanism
- Use progressive extractions
- Avoid the high resolutions pictures
- alter the count of application server and vizql server for hit cache.
- Set each at 1x to 2x times the quantity of process cores gift on the server
- User shouldn’t access the dashboard whereas loading the information
If my dashboard is taking long term to render on server what may be the reason?
- Use Window_sum() rather than totals(). it’s slow whereas extracting.
- Avoid fast filters in dashboards
- supply knowledge bins offer higher performance than tableau bins.
- Use sql question rather than knowledge mixing if you’re victimization RDBMS.
- Use but five views in dashboard.
- Optimizing knowledge extracts
Once ten worksheets area unit combined and created an entire dashboard if one worksheet is updated. Is it necessary to publish solely modified worksheet or entire dashboard?
solely modified worksheet.
That databases offers best performance once connected live?
Expected answer from you. Please recommend US. Analytical databases area unit smart for tableau. Means OLAP.
Exact Ans: Native databases
What if client is posing for knowledge invigorated at minute level? What would you recommend to the customer?
it’s performance degrade. victimization JavaScript arthropod genus we tend to do this.
the way to switch views in dashboard?
victimization parameters
What advanced dashboard you designed thus far?
Displaying bar charts on tool tip crop up, switch views dynamically, LODs
What square measure challenges moon-faced once operating with vast volumes of data?
- read running slow.
- information extraction.
- Alignment issue with information.
- Testing information
However, did you handle operating with vast volumes of information and the way concerning performance tuning?
- Optimize the info model.
- Use statistics
- Tune your indexes
- Partition the info in info level.
Tells U.S. concerning conditional data formatting in tableau?
victimization KPI, color marks and calculation field
what percentage dashboards you created therefore far?
Nearly fifty dashboards
have you ever ever worked on making custom maps?
No. If affirmative exploitation mapbox
In backend information you’ve got day level knowledge however are you able to amendment it to week/month/year level in tableau?
If we want to alter columns from date to different format
- DATETRUNC for correct dates.
- DATEPART
If my Informatica job is finished and that i need schedule tableau report. however will we have a tendency to do it?
tabcmd runschedule or tabcmd refresh extracts can do the task. we want to assemble in informatica level. it’ll begin once load is completed.
However, does one move migrating book from reportage to QA or Prod environments or any completely different environments etc?
Development is happened in desktop. we are able to directly denote to QA for testing and prod for live. Development server isn’t needed for this.
have you ever ever worked with director level personnel in your projects?\
Yes.
However, does one train power users?
Below are explained in high level. however not technical. we should always use practical nomenclature.
- Purpose of dashboard.
- Filters
- Actions
- Drill down
- Conditional data formatting
what’s level of detail? state of affairs during which level of detail is used?
LOD is sweet conception for various knowledge between AVG or total and details level.
- fastened
- embody.
- Exclude
Are you ever worked on teams and sets? that situations are these applicable?
Yes.
Groups:
- we are able to see the cluster of knowledge in single row.
- If we wish to calculate and see the information for cluster for values
Sets:
- Sets are custom fields that outline a set of knowledge supported some conditions.
- For conditions
- high N
- mix 2 set of knowledge.
If you have got a dimension referred to as AGE with values ( ten,20,30,40,50). If i produce {a cluster gaggle|a bunch} referred to as but thirty and another group referred to as but twenty with in this? If affirmative how?
We are able to produce sup teams