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About the authors
Pablo Labbe is a BI consultant with over 18 years of experience. In 2008, he was presented with QlikView, the former product by Qlik and the seed for Qlik Sense. Since then, he was focused on delivering BI solutions in a new way. Now, he is the principal of ANALITIKA Inteligencia, delivering BI projects and training that is focused on Qlik products and other technologies that embrace self-service BI. He is an active member of Qlik Community and other social media sites. You can follow him on Twitter @pablolabbe and find him on LinkedIn.
Clever Anjos is an experienced business discovery professional with several years of experience with Qlik, Microsoft, and other business intelligence (BI) technologies. He holds a bachelor's degree in computer science from Universidade Federal de Uberlndia (Minas Gerais StateBrazil). He works at Qlik as a solution architect, helping companies to use Qlik technologies to enable their professionals to be fully data literate. He has several Qlik certifications and awards (such as Qlik Luminary, Qlik MVP, and Presales Rookie of the YearAmericas 2018).
I would like to thank specially my wife, Emelinne, for supporting me in my decisions and giving me my wonderful kids (Olavo, Mait, and Anita). I would like to thank my parents (Jos Natal and Ana Maria), who have always been a beacon inspiring me and showing me the right path to walk. And, of course, thanks to all the people who have shared moments with me at work and in life.
Kaushik Solanki is a computer engineer by profession. He works at Predoole Analytics Pvt Ltd as a Qlik architect and delivery manager. He has nine years of experience working with Qlik technology. His passion is to educate everyone about data literacy and Qlik. He loves to spend time on Qlik Community helping Qlik developers learn and excel.
He has a great understanding of project delivery, right from business requirements to final implementation. His experience in various domains has helped businesses to take valuable business decisions.
First of all, I am thankful to my parents for supporting and educating me all throughout my life. Secondly, I am thankful to my wife and my daughter for their support and patience while I wrote this book. Lastly, I would like to thank everyone who has directly and indirectly helped me in my professional life.
Jerry DiMaso is an Analytics Advisory Consultant who has spent the past 10 years developing applications, advising on data and analytics strategies, and coaching organizations on how to build efficient analytics operating models. His work in more than 100 organizations in dozens of different industries has inspired him to take on the mission of improving the world's analytics capabilities through a series of practical frameworks and methodologies, most notably the Analytics Enablement and Axis Academy programs that he has created.
Thank you to my wife, Erika, whose encouragement and support inspire me to be all that I am.
About the reviewer
Nitesh Kumar Sethi has more than a decade of experience in the BI industry and has been widely recognized and accepted as an expert in the field. QlikTech has awarded him Qlik Luminary awards for two years running, in 2018 and 2019. With deep drive, great passion, and plenty of expertise, Nitesh champions the vision of turning data into insights that lead to transformative discoveries.
Nitesh held the first Qlik meet in India, which was even the first in the Asia-Pacific region. He is also an official Qlik captain, as recognized by QlikTech.
What this book covers
, Getting Started with Qlik Sense , will focus on getting started with Qlik Sense with the Qlik Sense Desktop application and the Qlik Sense Cloud web-based application. We'll take a quick overview of the high-level features of Qlik Sense so it's clear how the Qlik Sense platform can be leveraged for individuals and enterprises, then we will jump right into using Qlik Sense.
, Loading Data in Qlik Sense , will cover a series of tasks to load data from several sources, such as text files and Excel spreadsheets. We will find data quality issues (such as null values in a field) with data profiling and create a data model, associating the data source using key fields to link tables.
, Implementing Data Modeling Techniques, will help you learn about various data modeling techniques along with the best data modeling practices for Qlik Sense. It will also cover topics such as joins, concatenation, filtering, and the use of Qlikview Data (QVD) files, which will help you to build the perfect data model. You will also learn how to handle dates using canonical date , ho w to handle accumulations and rolling averages in script using As-Of Table , and how to handle multiple fact tables in data models using link tables. Finally, we will focus on improving script performance using optimization techniques.