Course info
Jun 9, 2017
2h 35m

QlikView bills itself as a guided analytics tool, which helps extract insights from large datasets. It lives up to that billing by striking the right balance between interactivity and robustness. QlikView combines the data-management capabilities of a serious database , with the zippy, responsive UIs that make drilling into data really simple. In this course, Exploring and Analyzing Data with QlikView, you'll cover exactly how data is represented and analyzed by exploring the features of QlikView. First, you'll explore how to setup an in-memory database. Next, you'll learn how to query it using different QV UI features. Finally, you'll discover how to analyze and explore the data for insights. By the end of this course, you'll have the understanding and knowledge of how data is represented in QlikView.

About the author
About the author

An engineer and tinkerer, Vitthal has worked at Google, Credit Suisse, and Flipkart and studied at Stanford and INSEAD. He has worn many hats, each of which has involved writing code and building models. He is passionately devoted to his hobby of laughing at his own jokes.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone, my name is Vitthal Srinivasan. Welcome to my course Exploring and Analyzing Data with QlikView. I am a co-founder at a startup named Loonycorn, and I worked at Google and studied at Stanford. QlikView builds itself as a guided analytics tool where you as a business intelligence professional are guided in a step-by-step manner towards the gems of insight that your data contains. And it's fair to say that QlikView actually lives up to this building. It combines the robustness of a relational DBMS with the interactivity of Microsoft Excel. Some of the major topics that we will cover in this course include QlikView's data representation and visualization capabilities, interfacing with traditional DBMS, building smooth responsive user interfaces for QlikView apps, and advanced features, such as for loops, generic loads, and working with columnar data. By the end of this course, you will have a good understanding of how data is represented in QlikView, setting up an in-memory database, querying it using different UI features, and exploring the data for insights. I hope you'll join me on this journey to learn how to unearth the insights in your big data set with the course Exploring and Analyzing Data with QlikView at Pluralsight.