Binary Load in QlikView

Till now we have explained the QlikView tool and its overview. Now it’s time to learn more about the types of loads used in the QlikView business analytical tool. As we already know that QlikView is a leading business discovery tool and a very powerful data visualization and analytics platform. The main purpose of using this QlikView tool is to processing in-memory data and stores them in the report. Most of the top business enterprises use this to perform advanced-level data analytics. As per the Gartner magic quadrant report, a QlikView is a top business intelligence and data analysis tool. So let’s get in-depth knowledge of the QlikView load balancing concept and its importance.

Introduction to QlikView tool:

QlikView is one of the top business intelligence tools which provide an end-to-end platform service. The main operations of the QlikView tool included are data integration, user-driven business intelligence, and data analysis. The QlikView business tool helps users to convert the raw data into a useful one. This tool sometimes acts as a “Human brain” and mainly works on business associations. This software tool was first found in 1993 in Lund, Sweden, and is now based in King of Prussia, United States.

One more important thing about QlikView is that even non-programmer also explores the visual data information view. With the help of clicks and taps, users can stream QlikView stream of various questions. QlikView software engine helps to calculate the new information, and data report. The word “Qlik” stands for software vendor data visualization, dashboard executives, and self-service business intelligence platform. This is one of the most data visualization platforms when compares to other products such as Tableau and Microsoft.

Important features of the QlikView tool:

The following are the important features of QlikView:

1. Automatically maintains the data association: QlikView tool automatically identifies the relationship between the data present in a data set. With the help of this feature, users need not recognize the relationship between the various data entities.

2. Data will be held in the memory available for multiple users and offers a super-fast user experience: Here the data structure and calculations of a data report will be held in the RAM memory of the server.

3. Aggregations can also be calculated on the fly: As data will be held in memory, the user performs a calculation task on the fly. Here there is no need to store pre-calculated aggregate data values.

4. Data will be compressed to 10% of the original size: QlikView platform developed on the base of data dictionaries. Only essential data sets will be used for analytical purposes and this compresses the original data to a small size.

5. Visual relationship by using colors: With the help of this feature, the relationship between the data will not be shown by lines and arrows. All you need to do is select a piece of data by click on specific colors to specify the related data and another color to specify unrelated data.

6. Direct and indirect searches: Because of data association you can input some data and get the exact results. With the help of this feature, you can also search for the data value directly.

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About QlikView Binary load:

Binary load in the QlikView tool is mainly used to copy the already present data model in QlikView analytical document into another Qlik View document or QVD without using any primary data source. Once the Qlik View document gets replicated into another QVD, then they can be implemented further, and integrate to make a big data model View.

Uses of Binary Load:

There are two primary uses of Binary load:

1. Sharing the data model which been copied already.

2. Loading the large data in an incremental build.

Let me explain them in brief:

1. Sharing the data model which been copied already:

As we know that Binary load is used to load the data from QVD. Suppose if the QVD is not a layout variable or data, then you load the data with the help of Binary statements into the advanced data model.

The syntax is as follows:

  Binary [path1] filename1

Parameters used:

Filename: This filename parameter is mainly used to filename as an input value and the file extensions too. For example “qvw” filename.

Path: this parameter is used to take the value of the path from the “qvw” file.

2. Loading the large data in an incremental load:

When you start working with an incremental build, we need to load the data from multiple sources. Loading of data is a quick process when you have a small data volume. But when you have a large data volume to load, then it takes a long time. Binary load in QlikView used to solve this problem through the following procedure:

1. You need to start data loading with a regular incremental build utilizer in QVD and save the table transaction and interfaces.

2. A new QVW file will be created to load the QlikView document contents. This also consists of document history and other details. One more important point to remember here is that, QlikView document stores only data that has been added once the creation of the new QlikView file.

3. You can also alter the reporting interface into the Qlik file, and then help to retrieve the history of data before the QVD concentration.

Advantages of Binary load:

The following are the major advantages of using Binary load:

1. This binary load in QlikView is used to share the existing data model of a QlikView document with other QlikView documents.

2. Binary load in QlikView is the quickest method used to load the data into any QlikView document.

3. This also assists the development of sophisticated incremental balance load scenarios.

4. This binary load balance also helps to reduce the designing time and also accelerate the reload process by avoiding additional data load for the creation of the new Qlik View data model.

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How to implement Binary load in QlikView:

The below are the important processes involved to implement the binary load in the QlikView process:

Steps:

1. First you need to open the Script editor in the QlikView document -> then you can start loading the binary data. Now click the QlikView file button which is located at the base of the Script editor.

2. Now choose the QlikView window file -> where you can load the data as a binary -> choose this button-> then click on the OK button.

The below screenshot will explain the selection of the “QVW” file.

How to implement Binary load in QlikView

3. You can see the Binary statement which is written at the top of the script. Here you can load the binary data into the script editor that has been already existed.

In the below screenshot, you can see the binary statement at the top of the script editor.

binary data

4. Once you are done with this process -> then save the script -> press on the OK button to close the script editor. Now the already existing QlikView file will be loaded into the document with other files.

QlikView file

5. In the below screenshot, you can see the newly added QlikView data files with the already existing files.

QlikView data files

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Conclusion:

In this Binary load QlikView blog, we have explained the types of binary loads used, and how to implement them in your organization. The main purpose of using this binary load is to optimize the binary statements.  With the help of QlikView window files, you can perform data optimization. The binary loads also used to build incremental scenarios. If you are a business analytic professional, then I think this blog might be a use for many of you to learn and master the types of loads used concepts.

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Gayathri
Gayathri
Research Analyst
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.