QlikView Extension: QlikView Extension refers to the development and integration of custom functionality and visualizations within the QlikView environment. This skill is measured in the test to assess a candidate's ability to extend the capabilities of QlikView and create personalized solutions for data analysis and visualization.
QlikView Connector: QlikView Connector involves connecting QlikView with various data sources, such as databases and web services, to extract and load data into QlikView for analysis. This skill is measured in the test to evaluate a candidate's proficiency in establishing data connections and ensuring smooth data integration in QlikView.
QlikView API: QlikView API (Application Programming Interface) refers to a set of tools and protocols that allow developers to interact with and manipulate QlikView programmatically. This skill is measured in the test to determine a candidate's competence in utilizing QlikView API to perform advanced operations, automate tasks, and integrate QlikView with other systems.
Capitalization Query: Capitalization Query in QlikView involves modifying the presentation of data by converting it to uppercase or lowercase. This skill is measured in the test to assess a candidate's ability to manipulate data case and ensure consistency in data visualizations and analysis.
Embedded Files: Embedded Files in QlikView refer to the inclusion of external files, such as images and documents, within QlikView documents to enhance data analysis and presentation. This skill is measured in the test to evaluate a candidate's aptitude in incorporating external resources and leveraging them effectively in QlikView applications.
Data Loading: Data Loading in QlikView involves extracting and loading data from various sources into QlikView for analysis and visualization. This skill is measured in the test to gauge a candidate's proficiency in data extraction techniques, data transformation, and ensuring data quality in QlikView applications.
QlikView Events: QlikView Events are triggers or actions that occur in response to user interactions or predefined conditions within a QlikView application. This skill is measured in the test to assess a candidate's understanding of QlikView event architecture and their ability to design interactive and responsive QlikView applications.
Data Analysis: Data Analysis in QlikView involves interpreting and gaining insights from data by applying various analytical techniques such as aggregations, calculations, and statistical functions. This skill is measured in the test to evaluate a candidate's proficiency in analyzing data using QlikView's data analysis capabilities and producing meaningful insights for decision-making.
Data Modeling: Data Modeling in QlikView refers to the process of designing and structuring data within QlikView applications to enable efficient data analysis and visualization. This skill is measured in the test to assess a candidate's ability to create optimized data models, establish efficient relationships between data tables, and ensure smooth data navigation in QlikView applications.
Data Visualization: Data Visualization in QlikView involves presenting data in a visually appealing and understandable manner using charts, graphs, and interactive visual elements. This skill is measured in the test to gauge a candidate's proficiency in designing visually compelling and informative data visualizations that facilitate effective data exploration and communication.
QlikView Functions: QlikView Functions are predefined formulas and expressions that perform specific operations on data within QlikView applications. This skill is measured in the test to evaluate a candidate's knowledge and utilization of QlikView functions to perform calculations, transformations, and data manipulations for effective data analysis and visualization.
Data Sources: Data Sources in QlikView refer to the various types of data repositories from which data can be extracted and loaded into QlikView applications. This skill is measured in the test to assess a candidate's familiarity with different data sources, their ability to establish data connections, and leverage diverse data for analysis within QlikView.
Expressions: Expressions in QlikView refer to the formulas, calculations, and logical conditions used to perform operations on data and produce derived values for analysis and visualization. This skill is measured in the test to determine a candidate's competence in designing and using expressions effectively to derive meaningful insights from data within QlikView applications.
Set Analysis: Set Analysis in QlikView is a powerful scripting language used to perform complex data selections and define custom data sets within QlikView applications. This skill is measured in the test to assess a candidate's proficiency in utilizing Set Analysis to implement advanced data filtering, create dynamic data sets, and perform comparative analysis across different data subsets.
Scripting: Scripting in QlikView involves writing and modifying the load script, which controls the extraction, transformation, and loading of data into QlikView applications. This skill is measured in the test to evaluate a candidate's expertise in QlikView scripting language, their ability to structure efficient data loading routines, and ensure data quality in QlikView applications.
