Packt+ | Advance your knowledge in tech

0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

QlikView: Advanced Data Visualization

You're reading from QlikView: Advanced Data Visualization Discover deeper insights with Qlikview by building your own rich analytical applications from scratch

Product type Course

Published in Dec 2018

Publisher Packt

ISBN-13 9781789955996

Length 786 pages

Edition 1st Edition

Tools

QlikView

Concepts

Data Visualization

Authors (4):

Barry Harmsen

Miguel Angel Garcia

Stephen Redmond

Karl Pover

View More author details

Table of Contents (25) Chapters

QlikView: Advanced Data Visualization

Contributors

Preface

1. Performance Tuning and Scalability FREE CHAPTER

2. QlikView Data Modeling

3. Best Practices for Loading Data

4. Advanced Expressions

5. Advanced Scripting

6. What's New in QlikView 12?

7. Styling Up

8. Building Dashboards

9. Advanced Data Transformation

10. Security

11. Data Visualization Strategy

12. Sales Perspective

13. Financial Perspective

14. Marketing Perspective

15. Working Capital Perspective

16. Operations Perspective

17. Human Resources

18. Fact Sheets

19. Balanced Scorecard

20. Troubleshooting Analysis

21. Mastering Qlik Sense Data Visualization

Index

How do the products in the Qlik product portfolio fit together?

We have seen that the Qlik product portfolio has expanded significantly in the past few years. At the time of QlikView 11 for Developers, there was only QlikView. Nowadays there is a complete range of products and add-ons.

The following diagram gives a high-level overview of how all the products fit together. The base is QlikView and the QAP, both of these use the same QIX Engine. The QAP underpins Qlik Sense Enterprise, which adds a frontend client and collaboration features. NPrinting can be used for static reporting on either QlikView or Qlik Sense. The Qlik Web Connectors, Rest Connector, and DataMarket let both QlikView and Qlik Sense ingest external, web-based data. Geographical analysis in both QlikView and Qlik Sense can be done with the Qlik GeoAnalytics add-on.

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at AU $24.99/month. Cancel anytime

Authors (4)

Miguel Angel Garcia

Miguel Angel Garcia

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.

See other products by Miguel Angel Garcia

Karl Pover

Karl Pover

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.

See other products by Karl Pover

Stephen Redmond

Stephen Redmond

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.

See other products by Stephen Redmond

Barry Harmsen

Barry Harmsen

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.

See other products by Barry Harmsen

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m