This technical brief presents an investigation about how QlikView Server scales in performance when serving multiple QlikView applications. From an IT department’s perspective, it is very important to have a predictable and performing Business Discovery infrastructure. This paper explains how QlikView’s performance scales uniformly as new QlikView applications are created.
This technical brief highlights a subset of capabilities and approaches that are to be considered when developing metadata-driven QlikView applications using QlikView Expressor.
Detailed guidelines on how to accurately determine which edition of QlikView Expressor is appropriate for your deployment. This document examines analyzing data flows for optimal performance; assessing the size of dataflow complexity; and writing to databases with partitions.
We are excited to announce a host of new features that will improve semantic conformance, introduce metadata analysis, increase productivity and allow you to build your own components when using QlikView Expressor Studio.
A detailed look at the security features of the QlikView iPad touch-enabled Ajax client, including an example implementation.
A guide to designing QlikView user interfaces optimized for browsers on mobile devices, including larger footprint devices such as the iPad.
The intention of this paper is to give some examples and general understanding on how to think when making a decision whether to scale up or scale out in a QlikView environment.
This technical brief provides a discussion at a fundamental level on how QlikView’s core technology uses system resources like RAM, and CPU capacity.
This document briefly introduces a common computer memory design known as Non-Uniform Memory Access (NUMA) and reports findings of its impact on performance in a QlikView 11 environment.
The QlikView Deployment Framework (QDF) introduces a set of standards and best practices to QlikView. It’s a result of the combined experiences of our customers, partners, and QlikView experts. Its main purpose is to address structure, organization, and resource reusability within a QlikView environment, in turn, reducing development time and increasing QlikView manageability.
This technical brief highlights some of the conceptual differences between the terms SAN and NAS, and describes how they fit into a QlikView Server environment by suggesting some recommended implementations.
Business Discovery relies on the connection, transformation, distribution and ultimately, analysis of data. This paper provides an introductory overview of the data flows through a typical QlikView deployment and describes the role of individual systems. We explain how data is sourced from multiple, heterogeneous sources, how it is manipulated to make it consistent and logical, and how it is distributed where users can interact with the QlikView applications.