Book Image

Machine Learning with Qlik Sense

By : Hannu Ranta
Book Image

Machine Learning with Qlik Sense

By: Hannu Ranta

Overview of this book

The ability to forecast future trends through data prediction, coupled with the integration of ML and AI, has become indispensable to global enterprises. Qlik, with its extensive machine learning capabilities, stands out as a leading analytics platform enabling businesses to achieve exhaustive comprehension of their data. This book helps you maximize these capabilities by using hands-on illustrations to improve your ability to make data-driven decisions. You’ll begin by cultivating an understanding of machine learning concepts and algorithms, and build a foundation that paves the way for subsequent chapters. The book then helps you navigate through the process of framing machine learning challenges and validating model performance. Through the lens of Qlik Sense, you'll explore data preprocessing and analysis techniques, as well as find out how to translate these techniques into pragmatic machine learning solutions. The concluding chapters will help you get to grips with advanced data visualization methods to facilitate a clearer presentation of findings, complemented by an array of real-world instances to bolster your skillset. By the end of this book, you’ll have mastered the art of machine learning using Qlik tools and be able to take your data analytics journey to new heights.
Table of Contents (17 chapters)
Part 1:Concepts of Machine Learning
Part 2: Machine learning algorithms and models with Qlik
Part 3: Case studies and best practices

Data lineage and data catalogs

In Qlik Sense, data lineage and data catalogs are two important features that help users to better understand, manage, and govern their data.

Data lineage refers to the path that data takes from its source to its destination, including all the transformations that occur along the way. In Qlik Sense, data lineage provides a visual representation of how data is transformed as it moves through the system. This helps users to understand the origin and quality of the data, as well as identify any issues or bottlenecks in the data flow. With data lineage, users can trace data back to its original source, identify any data dependencies, and ensure that the data is accurate and reliable.

A data catalog refers to a centralized repository of metadata that describes the data assets in an organization. In Qlik Sense, a data catalog provides a way to discover, understand, and collaborate on data assets. With a data catalog, users can search for data assets,...