For example, suppose you’re in charge of breakfast products for a large grocery chain. Your task is to find the top 10 breakfast products by profitability for all stores. If the data source is very large, you can set a context filter to include only breakfast products. Then you can create a top 10 filter by profit as a dependent filter, which would process only the data that passes through the context filter

Tableau Interview QuestionsTableau products1 Tableau Desktop2 Server enterprise level3 online

4 Reader

5 Public

Measures numeric valuerDimensions diewiptive valuesAggregation and disaggregation

context Filter

Use C improve performance when working witha large data source thequeries can be slowYou can set one or more context fifeyto improve performance

create a dependant on top N filtercontext filter can be used to include onlydata of internet and then set a numineafor top N filter

Example

DISCRETECONTINUOUS

Speeding up context filtersI use a single context filter 1 is betterthan marry Also if a context filterdoes not reduce size of dataset by morethan yeoth it is worse to use this

functionality given the performance costof computing the context filtercomplete data modelling before adding

filter Any changes eater read torecomputing the context filter

Bo set necurrary filters for context andcreate the context before addingfields to the shelves

SCHEDULES AND EXTRACTSExtracts are fasterpublishing allowed only after extractscheduled refiner can be used to

refresh data extract

COMPONENTS OF DASHBOARDi Horizontals Vertical3 Textu image

5 web URL

PAGE SHELF

this fragments the view into the line ofpages thus giving a different view oneach page this also minimises scrollingmaking it more user friendly

MAXIMUM MO OF TABLE JOINS 32DISPLAYING TOP N LAST'M RECORDS INSINGLE VIEW

Use SETS

top M Bottom N

SHOW ALL VALUES

NO FILE SIZE IN TABLEAUe

LOD Expressionsietail Help control granularity

more

A Tv INCLUDE ADlM

I sEP 1112 LODoh I

EXCLUDEDMSO

aless

more granularity INCLUDEten granularity EXCLUDEindependent level FIXED

ROW LEVEL salts Profit PROFIT RAMOin shelf further some profit Ratio aggregation

VIEW LEVEL Sumcsalls 1 sum profitin shelf Aaa Csumcsalls Isam profit

n

IMPROVING PERFORMANCE OF TABLEAU

use extractReduce scope of data to decrease UolRedhill no of MarktUse intl Boolean since they're fasterthan stringsuse context filterstide unused fieldsReduce filter usageAvoid unruscenary calculations

TYPES of topsinner outer full Right outerleft outer

DUAL AXIS two meerwures in same graphuseful for comparisons to show growthdemure etc

BLENDED AXIS similar to dual axis howeverinstead of opposite sides they are sameside

filters Mls Parametersmultiple selection auteurs TF no dreekboxes

since parameters allow

single value

Types of filters in tableauExtract filtersbathroom filterscontext filtersDimension filtersmauve filters Klimiting values showing

Types of diminutions in tableau

slowlychop chopunchangedshrunken

Junkconformed

viz L visual inquiry languageie viz t SQL

performance setting in TableauHelp setting a performance start performance

wording same path to stopLogs are visible in my tableau repository

when doing multiple iterations of worksheets Ideumboewell you can reverse back in following

on local desktop are programs like

minusoft Tfs Team foundation seryeron server level you can go back by

checking historycascading filters without cuing contextfilter is possible by using only relevant values

t g

HANDLING NULL VALUES

Filler Datashow data at default position

DATA LIMITATION IN TABLEAU PUBLIC10 million rows

WHEN DOWNLOADING DATA FROM SERVER

image prigData csx

multi VALUED PARAMETERS NOT SUPPORTED IN eFABEEEA

OPTIMISING PERFORMANCE OF DASHBOARD

minimize no of fields and recordsreduce marks in your viewreduce non of filteruse include LOD

use continuous data

use action filters and parametersreduce melted calculationsremove untom SQLclean up workbooks

CHALLENGES OF WORKING WITH LARGE DATAi view running will be slow

2 Data extraction

3 Alignment issues with dataU testing data