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Mastering QlikView
Unleash the power of QlikView and Qlik Sense to make optimum use of data for Business IntelligenceAbout This BookLearn the best ways to load data to optimize the QlikView experienceDisplay data in a way that is easy to understand for most number of usersDiscover advanced expressions and scripting techniques with lots of code and screenshotsWho This Book Is ForIf you are a business application developer or a system analyst who has learned QlikView and Qlik Sense and now want to take your learning to a higher level, then this book is for you.
It is assumed that you are aware of the fundamentals of QlikView and have working knowledge of development and in-memory analytics.
What You Will LearnTune your Qlik applications and review basic performance-tuning techniques for scalabilityModel your data correctly using industry best approachesGet to know the best practices for data loading and understand QVDs to implement an ETL approachDiscover a range of techniques to manage metadata including the QlikView Governance DashboardUse advanced expression techniques to get the right answersWrite great scripts to load data in different waysVisualize data using a set of analytical and advanced charting techniquesIn DetailQlikView and its new sister product, Qlik Sense, are the leading tools for BI and data discovery. They both feature the ability to consolidate relevant data from multiple sources into a single application, an associative data model to allow you to explore the data the way your brain works, and state-of-the-art visualizations, dashboards, analysis, and reports.
The book starts by reviewing the best performance-tuning techniques and then advances to help you discover strategies to improve performance and test scalability with JMeter. You will also learn dimensional data modeling and creating best-practice ETL techniques using the QlikView script and QlikView's graphical ETL tool, Expressor. Following this, you will deploy QlikView Governance Dashboard to import multiple data sources and view all the information in a single location. Finally, you will learn why virtualization is important and what are the best practices for virtualization in QlikView.
It is assumed that you are aware of the fundamentals of QlikView and have working knowledge of development and in-memory analytics.
What You Will LearnTune your Qlik applications and review basic performance-tuning techniques for scalabilityModel your data correctly using industry best approachesGet to know the best practices for data loading and understand QVDs to implement an ETL approachDiscover a range of techniques to manage metadata including the QlikView Governance DashboardUse advanced expression techniques to get the right answersWrite great scripts to load data in different waysVisualize data using a set of analytical and advanced charting techniquesIn DetailQlikView and its new sister product, Qlik Sense, are the leading tools for BI and data discovery. They both feature the ability to consolidate relevant data from multiple sources into a single application, an associative data model to allow you to explore the data the way your brain works, and state-of-the-art visualizations, dashboards, analysis, and reports.
The book starts by reviewing the best performance-tuning techniques and then advances to help you discover strategies to improve performance and test scalability with JMeter. You will also learn dimensional data modeling and creating best-practice ETL techniques using the QlikView script and QlikView's graphical ETL tool, Expressor. Following this, you will deploy QlikView Governance Dashboard to import multiple data sources and view all the information in a single location. Finally, you will learn why virtualization is important and what are the best practices for virtualization in QlikView.
424 pages, Kindle Edition
First published November 26, 2014
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