Название: Ultimate Qlik Cloud Data Analytics and Data Integration: Master Data Integration and Analytics with Qlik Cloud to Drive Real-Time, Insightful, and Impactful Business Decisions Across Your OrganizationАвтор: Orange Editorial Board
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 635
Язык: английский
Формат: epub (true)
Размер: 174.8 MB
Master Qlik Cloud to Integrate Data and Drive Real-Time Insights.
Key Features:
- End-to-End Qlik Cloud Coverage from Basics to Automation.
- Real-Time Data Integration with QCDI & CDC Techniques.
- AI-Powered Insights Using AutoML and Insight Advisor.
- Hands-On Visualizations, Scripting, and Application Design.
Book Description
In today’s data-driven world, organizations need smarter tools to turn raw data into actionable insights—Qlik Cloud is one of the most powerful platforms to do just that. It enables users to unify data, visualize trends, and make faster, informed decisions.
Ultimate Qlik Cloud Data Analytics and Data Integration is your comprehensive guide to mastering the full Qlik Cloud ecosystem. The journey begins with a walkthrough of the platform's foundational features, including its intuitive interface, scalable architecture, and cloud-native capabilities. You’ll learn how to build your first application using Data Manager, seamlessly connecting and loading data from a variety of sources.
As your skills grow, the book delves into data scripting, modeling, and set analysis—giving you the tools to shape your data and create meaningful relationships. Visualizations come next, where you’ll design compelling, interactive dashboards that uncover hidden patterns and drive user engagement.
Beyond visualization, the book explores Qlik Cloud’s advanced analytics offerings, including Insight Advisor, AutoML, and AI-assisted recommendations that accelerate decision-making. You'll also master the backend power of the platform, diving deep into real-time data integration, Change Data Capture (CDC), Application Automation, and data lineage tracking—all crucial for building enterprise-ready solutions.
With a focus on real-world implementation, governance, and performance, this book prepares analysts, developers, and business users alike to unlock the full potential of Qlik Cloud—from data ingestion to decision-making.
AutoML introduces advanced analytics opportunities by automating the intricate processes inherent in Machine Learning. This technology empowers data analysts to construct and implement Machine Learning models without requiring extensive technical expertise, thus democratizing access to advanced analytics capabilities. Qlik AutoML streamlines the process of leveraging Machine Learning insights, making them accessible to analytics teams across diverse domains. One might question the relevance: Shouldn’t we delegate advanced tasks to data scientists and focus solely on analytics? Democratizing access to machine learning tools can spur innovative solutions and confer a competitive advantage in the marketplace. Diverse teams leveraging AutoML capabilities can unearth distinctive insights and propel innovation forward. While the democratization of Machine Learning (ML) indeed promotes inclusivity, spurs innovation, and unlocks transformative applications across diverse fields, there are valid reasons why not every organization opts to hire a data scientist.
AutoML operates as a complementary tool for data scientists, enriching their capabilities rather than replacing them. Through automating routine tasks within Machine Learning, it empowers data scientists to dedicate their efforts to solving complex problems and fostering innovation. This approach facilitates resource optimization, particularly given the scarcity and cost associated with Data Science expertise. By streamlining mundane tasks, AutoML allows organizations to allocate their resources efficiently, enabling Data Science teams to focus on high-value activities and thereby maximize their impact.
Dive in and become a Qlik Cloud expert to integrate smarter, analyze deeper, and lead with data.
What you will learn
- Build apps using Qlik Cloud Data Manager and scripting.
- Create advanced visualizations and master set analysis logic.
- Integrate real-time data streams using QCDI and CDC.
- Automate workflows with Application Automation and Insight Advisor.
- Leverage AutoML for predictive analytics and business insights.
- Manage data lineage, governance, and glossary for compliance.
Who is this book for?
This book is ideal for data analysts, BI developers, and business users looking to build or enhance their data visualization and integration skills using Qlik Cloud. Whether you're new to Qlik or transitioning from other tools, no prior experience with Qlik Sense is required just a basic understanding of data concepts.
Contents:
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