Top Answers to Qlikview Interview Questions
CriteriaTableauQlikView
Data integration
ExceptionalGoodWorking with multidimensional dataVery GoodGoodSupport for PowerPointAvailableNot availableVisual DrilldownGoodVery GoodScalabilityGoodLimited by RAM
We generally uses bar chart, line chart, combo chart, scatter chart, grid chart, etc.
It is used for set of groups. Mostly used in aggregated function like sum (year), etc.
In Trellis chart we can create array of chart based on first dimension. Bitmap chart are also made of trellis display.
With the help of Mini Chart we can set type of modes instead of values in table mode.
Pivot Table:
A pivot table is better at the time of grouping. We can also show pivot table like a cross table which is a beneficial feature. But there is one disadvantage of it which is if we have to sort a pivot table than we have to sort it first according to the first dimension then to the next.
BAR Graph we will use.
A straight table is much better at the time of sorting as compared to the pivot table as we can sort it according to any column as per our choice. But it is not good for grouping purpose.
We can use only two dimension
Gauge chart and list box have only expression and no dimension.
We can use macros for various purposes like for reloading the application and to create object.
The layer are basically set on the sheet object properties layout where bottom, top, normal respective to the number -1,0 and 1.
Dimensions allow data examination from various perspectives.
Well Structured Form of Data, which doesnt have any repetition or redundancy of data. It's a kind of Relational data. It's mainly used in OLTP kind of stuffs Denormalized Data – It's a whole bunch of data without any relationship among themselves, with redundancy of data. It's mainly used in OLAP kind of stuffs.
The simplest form of dimensional model, in which data is prearranged into facts and dimensions is known as Star schema.
A snowflake schema is a difference of the star schema. Snowflake is used to improve the presentation of particular queries.
The internal match is prefixes with the load statement which is used for connecting different numeric values to one or more numeric interval.
Internal match function is used to generate data bucket of different sizes.
19. What is Container ?
A container object is used to keep multiple charts. We can use a container object to keep many charts in the same box.
Extended interval match function() is used for slowly changing the dimensions.
Container Object;Granular Chart Dimension Control; Actions like, clear filed; meta data,etc are the new features in QV 11.
Join is used to convert the given data and whenever we are using joins for converting data its is known ad Data Merging.
It has many types:
a. Left join
b. Right join
c. Inner join, etc
Left join specifies that the join between the two tables should be left join, it uses before the word join. The resulting table only contain the combination among two tables with the full data set from the first table. When we have more than one common field between two or more tables then we have synthetic keys.
Right join specifies that the join between the two tables should be right join, it uses before the word join. The resulting table only contain the combination among two tables with the full data set from the second table.
Inner join specifies that the join between the two tables should be inner join. The resulting table should contain the full data set from both the sides.
Modifiesr deals with the Fields name.
For example: sum({$<Region=>}Sales)
Returns the sales for current selection, but with the selection in "Region" is removed.
- 0- Represents the empty set
- 1- Represents the full sets of records
- $-Represents the record of current selection
- $1-Represents the previous selection
- $_1-Represents the next selection
- Bookmark01-Represents the Bookmark name
1-tier: Raw data is loaded and we create QVD
2-tier: QVD is converted in business login and the requirement of business and data model is created.
3-tier: Reading all QVD from 2-tier and we make a single QVW.
Qlikview stores the data in QVD as QVD has data compression capability. Qlikview has better performance than other BI because of its memory analytics approach.
Binary Load can be used for only one application means we can only read the data from one QVW application and moreover set scripts is also a restriction.
Subset Ratio: It is used for easily spot problem in key field association.it is only relevant for key fields since they are present in multiple tables and do not share the same value.
Information Density: It is the field which contain the percentage of row which contain the non-null value.
Optimized load is much faster and preferable especially for large set of data. It is possible if n o transformation are made at the time of load and no filtering is done.
Keep and joins do the same functions but in keep creates the two tables whereas join only creates the one table. Keep is used before the load or select statements.
Synthetic key is the key where two or more tables consists more than one common column between them is called as synthetic key.
Incremental load is nothing but loading new or changed records from the database. With the help of QVD files we can use incremental Load.
Set: it assigns the variable without assesses the expression.
Let: it assigns the variable with assesses the expression.
Resident load is a part of loading data in Qlikview application. It is used for loading data in tables which is already loaded in Qlikview application.
It can be optimized by creating the data into qvds. When complete qvw application is changed into qvd than this qvd will be store in the RAM.
Mapping load is used to create the mapping table that can be used for replacing field value and field names.
apply map is used to add fields to the tables with the help of other tables. It can be used as joins.
It means sequence of interconnected things i.e. any column or row which is related to each other can be connected through concatenation.
NoConcatenation prefix is used to force the identical tables as two separate internal tables.
It is used to establish a connection to database with the help of ODBC or OLEDB interface.
It is a logical database structure of data Warehouse . It is designed with the help of De Normalized Fact..
It stands for relational Database management System. It arranges the data into respective column and rows.
Every client needs a CAL to get connected with Qlikview Server. The CALS are taken up with Qlikview Server and tied with the server serial number.
QV Server is a program that is installed on computer with various CALS which allow user to access QV Files on the server. Publisher is a program which manages centralized control on our QV files and manages them how and when they are loaded and distributed.
By this option we can see number o tables and related associations.
We use ODBC, OLEDB, SAP connectors kind of data connections.
We can load data from ODBC, OLEDB, SAP connectors , by select statements and we can also load files like excel, word, etc. by using Table Syntax.
We use flat files, excels, QVDs, etc ad data.
QlikView is the Business Intelligence tool used by the University of St Andrews. Data from different University systems is combined and presented in a single dashboard in an easy and understandable way.
QlikView dashboards at the University of St Andrews are built on the following principles:
- Dashboards must be effective to use
- Dashboards must support users in carrying out their tasks
- Dashboards must provide the right kind of functionality
- It must be easy to learn how to use a dashboard
- It must be easy to remember how to use a dashboard
- To use QlikView, you do not need to have technical expertise in information systems, just a willingness to learn how it can support you.
As the name suggests, QlikView is a combination of quick and click and these features make it intuitive and easy to use. Users can visualize data, search multiple data sets, create ad hoc reports, and view patterns and trends in data that may not have been visible in other reports.
QlikView is
- Flexible – dashboards are web based and accessible from desktop computers and mobile devices
- Interactive – users are able to drill down and select particular data within charts or tables
- Usable – users can see large amounts of data effectively and efficiently
- Scalable – useful for multiple business processes at analytical, operational and strategic levels
QlikView 11 brings new levels of capability and manageability to the QlikView Business Discovery platform. In this release, we focused our investments on five value propositions:
- Improve collaborative decision making with Social Business Discovery
- Gain new insights into opportunities and threats and relative business performance with comparative analysis
- Expand QlikView usage to additional devices, including smartphones, with mobile Business Discovery
- Enable a broad spectrum of users to jointly develop QlikView apps with QlikView's rapid analytic app platform capabilities
- Improve the manageability and performance of QlikView with new enterprise platform capabilities.
Business users can quickly gain new kinds of insight when analyzing information in QlikView, with new comparative analysis options. QlikView App developers can now create multiple selection states in a QlikView app; they can create graphs, tables, or sheets based on different selection sets.
QlikView 11 delivers mobile functionality for Apple iOS and Android tablets and smartphones. QlikView supports Android tablets when the following conditions are met:
- QlikView Server version 10 SR3 or later
- The native browser, not a downloaded one
- Currently our HTML5 web apps support only Apple and Android handhelds. Because many Black Berry are older devices that don't fully support HTML5 (and many are non-touch), we don't have a web-based solution for them at this time.
New optional settings within QlikView Management Console enable administrators to more effectively audit user interactions. Administrators can audit QlikView usage not only at the system level (the entire QlikView Server), but down to the document level.
Key difference is in terms of the database used. QlikView offers a quite simple visualization that matches the MS excel filtering. SAS is useful in case of Meta data while SPSS is good for analysis.
In comparison of the above three, QlikView is most user friendly and fast in terms of generating diverse dashboards/templates.
In terms of calculations, advanced statistics options are limited in QlikView.
For market research and analysis SPSS has direct facility algorithms.
With the new annotations collaboration object QlikView users can engage in threaded discussions about QlikView content. A user can create notes associated with any QlikView object. Other users can then add their own commentary to create a threaded discussion. Users can capture snapshots of their selections and include them in the discussion so others can get back to the same place in the analysis when reviewing notes and comments. QlikView captures the state of the object (current selections), as well as who made each note and comment and when, for a lasting record of how a decision was made.
QlikView offers the following features:
- Dynamic BI Ecosystem
- Data visualization
- Interacting with dynamic apps, dashboards and analytics
- Searching across all data
- Secure, real-time collaboration
The differences are:
QlikView Server Enterprise Edition (EE) is available for customers looking to support a large number of users and integrate into enterprise environments. It includes features such as:
- Unlimited documents
- Integration with third party security systems
- Server clustering
- Small Business Edition (SBE) is designed to be used in smaller deployments.
It has the following limitations: - For use only with Named and Document CALs
- Limited to 25 Named User CALs
- Limited to 100 Document CALs
- No support for additional servers
- Only supports Windows Active Directory to handle security and access control
Information Access Server (IAS) is an edition of QlikView Server designed to power public Internet sites. This edition: - Includes the add-on QlikView Real Time Server
- Is licensed for uncapped number of user but limited to one QlikView document
- Must be set to anonymous mode only and authentication must be off
- Requires that the QlikView server be on the public Internet and publicly accessible
- Requires that the URL for accessing the site powered by the QlikView Server be publicly accessible
- Requires that no QlikView client (e.g., QlikView Desktop, Internet Explorer plug-in, Ajax) can access the QlikView Server (all user interfaces must be built by the customer manually or with QlikView Workbench)
QlikView Extranet Server (QES) is an edition of QlikView Server designed to extend QlikView functionality to external users via an extranet. QES: - Requires authentication. Users must be external to the purchasing organization (customers, partners, etc.).
- Restricts server access to the Ajax client and mobile clients
- Provides the option to customize the QlikView application via the included QlikView Workbench
- Supports a maximum of 3 QlikView documents
- Supports session CALs and usage CALs only.
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