QlikView: Advanced Data Visualization (eBook)

Discover deeper insights with Qlikview by building your own rich analytical applications from scratch

Harmsen Barry Harmsen, Pover Karl Pover, Garcia Miguel Angel Garcia, Redmond Stephen Redmond (Autoren)

eBook Download: EPUB

2018
786 Seiten
Packt Publishing (Verlag)
978-1-78995-417-3 (ISBN)

Infos

Build powerful data analytics applications with this business intelligence tool and overcome all your business challenges

Key Features

• Master time-saving techniques and make your QlikView development more efficient
• Perform geographical analysis and sentiment analysis in your QlikView applications
• Explore advanced QlikView techniques, tips, and tricks to deliver complex business requirements

Book Description

QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations.

Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources.

With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro.

This Learning Path includes content from the following Packt products:

• QlikView for Developers by Miguel Ángel García, Barry Harmsen
• Mastering QlikView by Stephen Redmond
• Mastering QlikView Data Visualization by Karl Pover

What you will learn

• Deliver common business requirements using advanced techniques
• Load data from disparate sources to build associative data models
• Understand when to apply more advanced data visualization
• Utilize the built-in aggregation functions for complex calculations
• Build a data architecture that supports scalable QlikView deployments
• Troubleshoot common data visualization errors in QlikView
• Protect your QlikView applications and data

Who this book is for

This Learning Path is designed for developers who want to go beyond their technical knowledge of QlikView and understand how to create analysis and data visualizations that solve real business needs. To grasp the concepts explained in this Learning Path, you should have a basic understanding of the common QlikView functions and some hands-on experience with the tool.

Miguel Ángel García is a Business Intelligence consultant and Qlik Solutions Architect from Monterrey, Mexico. Having worked throughout many successful Qlik implementations, from inception through implementation, and performed across a wide variety of roles on each project, his experience and skills range from pre-sales to applications development and design, technical architecture, system administration, as well as functional analysis and overall project execution. He currently holds the QlikView Designer, QlikView Developer, and QlikView System Administrator Certifications. Barry Harmsen is a Business Intelligence Consultant based in the Netherlands. Here he runs Bitmetric, a boutique consulting firm specialized in the Qlik product suite. Originally from a background of traditional business intelligence, data warehousing, and performance management, in 2008 Barry made the shift to Qlik and a more user-centric form of Business Intelligence. Since then, he and his team have helped many clients get the most out of their investments in the Qlik platform. Barry is one of the four Qlik experts teaching at the Masters Summit for Qlik, an advanced 3-day training for experienced Qlik professionals. He also runs the Amsterdam chapter of the Qlik Dev Group, an open and informal gathering where Qlik professionals can share knowledge and experiences. Stephen Redmond is the CTO and Qlik Luminary at CapricornVentis - a QlikView Elite Partner. He is the author of several books, including QlikView for Developers Cookbook and QlikView Server and Publisher, both published by Packt Publishing. He is also the author of the popular DevLogixseries for SalesLogix developers. In 2006, after many years of working with CRM systems, reporting and analysis solutions, and data integration, Stephen started working with QlikView. Since then, CapricornVentis has become QlikView's top partner in the UK and Ireland territories, and with Stephen as the head of the team, they have implemented QlikView in a wide variety of enterprise and large-business customers across a wide range of sectors, from public sector to financial services to large retailers. In 2014, Stephen was awarded the Luminary status by Qlik in recognition of his product advocacy. He regularly contributes to online forums, including the Qlik Community. Karl Pover is the owner and principal consultant of Evolution Consulting, which provides QlikView consulting services throughout Mexico. Since 2006, he has been dedicated to providing QlikView presales, implementation, and training for more than 50 customers. He is the author of Learning QlikView Data Visualization, and he has also been a Qlik Luminary since 2014.

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Build powerful data analytics applications with this business intelligence tool and overcome all your business challengesKey FeaturesMaster time-saving techniques and make your QlikView development more efficientPerform geographical analysis and sentiment analysis in your QlikView applicationsExplore advanced QlikView techniques, tips, and tricks to deliver complex business requirementsBook DescriptionQlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations.Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources.With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro.This Learning Path includes content from the following Packt products:QlikView for Developers by Miguel Angel Garcia, Barry HarmsenMastering QlikView by Stephen RedmondMastering QlikView Data Visualization by Karl PoverWhat you will learnDeliver common business requirements using advanced techniquesLoad data from disparate sources to build associative data modelsUnderstand when to apply more advanced data visualizationUtilize the built-in aggregation functions for complex calculationsBuild a data architecture that supports scalable QlikView deploymentsTroubleshoot common data visualization errors in QlikViewProtect your QlikView applications and dataWho this book is forThis Learning Path is designed for developers who want to go beyond their technical knowledge of QlikView and understand how to create analysis and data visualizations that solve real business needs. To grasp the concepts explained in this Learning Path, you should have a basic understanding of the common QlikView functions and some hands-on experience with the tool.

Produkt-Details

• Erscheint lt. Verlag: 27.12.2018
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Schlagworte: bar charts • Business Intelligence • Data Visualization • histograms • qlikview • QlikView development • Visual Analytics
• ISBN-10: 1-78995-417-7 / 1789954177
• ISBN-13: 978-1-78995-417-3 / 9781789954173