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Ultimate Qlik Cloud Data Analytics and Data Integration

Autor
- Orange Board
Verlag:
- Orange Education Pvt Ltd

Sprache: Englisch
Format
Kategorie: Wirtschaft & Karriere

Master Qlik Cloud to Integrate Data and Drive Real-Time Insights.

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.

Table of Contents

1. Getting Started With Qlik Cloud 2. Building Your First Application 3. Using Scripts 4. Set Analysis 5. Embedding and Extending 6. Navigating The Data Landscape 7. Advanced Analytics - AutoML 8. Application Automation 9. Insight Advisor 10. Reporting Service 11. Direct Access Gateway 12. Getting to Know Qlik Talend Data Integration 13. CDC and Landing Data in Real Time 14. Transforming Data 15. Data Marts

Index

Erscheinungsdatum

E-Book: 25. Juli 2025