QlikView is considered as the Business Intelligence Platform which mainly delivers self-service Business Intelligence to the users in the Organization to enhance business development. With the help of QlikView technology, one can easily make effective decisions making by analyzing a high volume of data and also data discoveries.
QlikView has 3 main components that are
Ø QlikView Desktop: It is the best Development tool for creation, to have a high graphical user interface and transformation model.
Ø QlikView Server: It stores all the applications of QlikView and also handles effective communication between clients and various other applications.
Ø QlikView Publisher: It mostly loads the data from different data sources and distribution of QlikView documents is done to the end user.
It is completely built with a unique approaches to data discovery when compared to other traditional platforms. Firstly, it forms an association between various data objects after the loading process and prompts the user to explore the required data in any of the method or way. The Predefined data drill down paths is not present where it can easily happen in any easily happen in any of the direction until the data is associated or else available.
Overview of QlikView Architecture
The main architecture of QlikView consists of front end to visualize the processed data and the required back end which provides security and the required mechanism of publication helps for QlikView user documents. It mostly contains 3 components that are QlikView Server, Desktop and Publisher. QlikView server completely acts as the Front end. The QlikView Desktop and QlikView Publisher mainly acts as the backend process.
QlikView Front End is completely the browser based access point which helps to view the documents in the most reliable manner. The QlikView Server helps in accessing the created BI reports by the Business users through internet protocols. Most of the Business users have interaction with the data in effective manner by using this front end and give some conclusion about the data as well.
High collaboration can be seen with various users in the given sets of reports by exploring required data together and sharing insight in the real time or else off-line. This .qvw is the format where the users documents are stored in Windows OS as the standalone documents. In the front end, this QlikView Server reliably manages the client server communication between the user and the backend system of QlikView.
This Backend process of QlikView consists of QlikView desktop and QlikView publisher.
This QlikView Desktop consists of wizard-driven windows environment that has various unique features to complete loading and transforming of data from its sources. It has come up with an incredible feature that is drag and drop feature which helps in the creation of Graphical User Interface (GUI) layout of the reports. It is easily visible in the frontend application to have a highly effective user interface. The entire field that are created by the QlikView desktop are completely stored with an extension of .qvw.
These are the required files that are passed through the front end of QlikView server. The stored files with an extension of .qvw can be easily modified to store data-inly files. It is also known as .qvd files which are considered as the binary files. It only contains the required data but not the components of GUI.
The QlikView Publisher is completely used as the distribution service for distributing .qvw documents among the users and the QlikView servers. It can easily direct the loading of data from various data sources with required connection strings defined in .qvw files. It can easily handle authorization and the access privileges.
This QlikView Server is the client communication architecture. It mostly requires three primary processes that help to have effective communication with each other in the most secure and consistent manner. This interaction is involved with multiple machines and multiple network connections along with some subordinate processes as well.
The 3 Primary process that are described below is
QVS: It has come up to provide various functionalities to the client. The machine that hosts QVS Service must run with a Microsoft windows operating system.
Client: It probably runs on the web browser and the application shell which provides a container for client code. To have high QlikView interface and great functionality to the user, the client communicates with QVS through a web server. The communication is also possible in a direct way.
Web Server: This web server can easily run this HTTP server which mainly helps to serve certain web pages to the client and can easily assist the authentication process of the user. It plays a vital role to have great communication between client and QVS.
The entire QlikView architecture is based on the sites where it is considered as the collection of a huge number of nodes. All this are connected to the common logical repository or else central mode. The deployment process can be done through many ways.
Ø Building a Farm
Ø Clustering QlikView Servers
Ø Clustering QlikView Publisher
Ø Clustering QlikView Distribution Service
Ø QlikView Server Extensions
Ø Configuring IIS for Custom Users
Ø QlikView Triggering EDX Enabled Tasks
Ø Cleaning the shared files
§ High usage of Creating Report Wizard and the excellent 'drag-and-drop' objects to generated report in a secured way
§ Incredible way of settings for the design of reports
§ Personalized notifications;
§ QlikView integration of interactive objects with the Microsoft Office
§ Integration of web components with the Microsoft SharePoint portal
§ Data export from an object into XML, Excel, CSV and TXT
To have greatly expanded reporting capabilities of QlikView, there you can simply use a QlikView server and QlikView publisher. System administrators get a certain ability to control assessment to various reports and documents. By the usage of QlikView publisher, it mainly ensures the provision of analytical information and various reports to the user to enable centralized protection of the corporate data.
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